{"schema_version":"onlylabs.public_analysis_evidence.v1","title":"Lightning AI analysis evidence pack","description":"Public onlylabs evidence pack for cited agent analysis: captured pages, ranked public signals, and stored web-search provenance used by the background analysis workflow.","url":"https://onlylabs.fyi/labs/lightning-ai","json_url":"https://onlylabs.fyi/analysis/lightning-ai/evidence.json","generated_at":"2026-06-11T18:06:40.789Z","org":{"slug":"lightning-ai","name":"Lightning AI","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/lightning-ai"},"analysis":null,"workflow":{"version":"onlylabs-deepagents-analysis-v3","provider":null,"model":null,"agent":null,"public_pack_mode":"local-pages-and-events","live_web_fetches":false,"note":"Public evidence exports do not trigger live Exa calls; stored Exa provenance is included when analysis metadata contains it."},"stats":{"pages":28,"events":123,"web":0,"evidence":88,"signal_desks":{"hiring":30,"forks":3,"releases":12,"talking":10,"repos":5},"data_radar_lanes":null,"data_radar_matches":null,"stored_analysis_evidence":null,"stored_analysis_web":null,"stored_analysis_signal_desks":null,"stored_analysis_data_radar_lanes":null,"stored_analysis_data_radar_matches":null},"stored_web_provenance":null,"evidence":[{"ref":"P1","kind":"page","title":"Lightning-AI/lm-evaluation-harness repository metadata","date":"2026-06-11T04:19:15.747674+00:00","date_source":null,"source_url":"https://github.com/Lightning-AI/lm-evaluation-harness","signal_url":null,"signal_json_url":null,"text":"# Lightning-AI/lm-evaluation-harness\n\nDescription: A framework for few-shot evaluation of autoregressive language models.\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 3\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2023-05-02T17:02:05Z\n\nPushed: 2023-06-05T15:01:54Z\n\nDefault branch: master\n\nFork: yes\n\nParent repository: EleutherAI/lm-evaluation-harness\n\nArchived: yes\n\nREADME:\n# Language Model Evaluation Harness\n\n## Overview\n\nThis project provides a unified framework to test generative language models on a large number of different evaluation tasks.\n\nFeatures:\n\n- 200+ tasks implemented. See the [task-table](./docs/task_table.md) for a complete list.\n- Support for models loaded via [transformers](https://github.com/huggingface/transformers/) (including quantization via [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ)), [GPT-NeoX](https://github.com/EleutherAI/gpt-neox), and [Megatron-DeepSpeed](https://github.com/microsoft/Megatron-DeepSpeed/), with a flexible tokenization-agnostic interface.\n- Support for commercial APIs including [OpenAI](https://openai.com), [goose.ai](https://goose.ai), and [TextSynth](https://textsynth.com/).\n- Support for evaluation on adapters (e.g. LoRa) supported in [HuggingFace's PEFT library](https://github.com/huggingface/peft).\n- Evaluating with publicly available prompts ensures reproducibility and comparability between papers.\n- Task versioning to ensure reproducibility when tasks are updated.\n\n## Install\n\nTo install `lm-eval` from the github repository main branch, run:\n\n```bash\ngit clone https://github.com/EleutherAI/lm-evaluation-harness\ncd lm-evaluation-harness\npip install -e .\n```\n\nTo install additional multilingual tokenization and text segmentation packages, you must install the package with the `multilingual` extra:\n\n```bash\npip install -e \".[multilingual]\"\n```\n\nTo support loading GPTQ quantized models, install the package with the `auto-gptq` extra:\n\n```bash\npip install -e \".[auto-gptq]\"\n```\n\n## Basic Usage\n\n> **Note**: When reporting results from eval harness, please include the task versions (shown in `results[\"versions\"]`) for reproducibility. This allows bug fixes to tasks while also ensuring that previously reported scores are reprodu"},{"ref":"P2","kind":"page","title":"Lightning-AI/probot repository metadata","date":"2026-06-11T04:19:15.542687+00:00","date_source":null,"source_url":"https://github.com/Lightning-AI/probot","signal_url":null,"signal_json_url":null,"text":"# Lightning-AI/probot\n\nLanguage: TypeScript\n\nLicense: ISC\n\nStars: 9\n\nForks: 4\n\nOpen issues: 6\n\nCreated: 2021-11-14T18:51:46Z\n\nPushed: 2026-05-13T13:04:45Z\n\nDefault branch: master\n\nFork: yes\n\nParent repository: pytorch/probot\n\nArchived: no\n\nREADME:\n# lightning-probot\n\nA GitHub App built with [Probot](https://github.com/probot/probot) that implements bot actions for PyTorch Lightning.\n\nForked from https://github.com/pytorch/probot.\n\n## auto-cc-bot\n\nAdd an issue to your project like https://github.com/pytorch/pytorch/issues/24422\nand add a `.github/lightning-probot.yml` file with:\n\n```yml\n# https://github.com/Lightning-AI/lightning/issues/10530\ntracking_issue: 10530\n```\n\nBased on who is listed in the tracking issue, the bot will automatically\nCC people when labels are added to an issue.\n\n## check-group\n\nAdaptation of https://github.com/tianhaoz95/check-group/blob/master/README.md that works as a GitHub action, is only triggered with the `pull_request` event type, and checks the job statuses with an interval.\n\n## Setup\n\n```sh\nmake build\n```\n\n## Deploying GitHub Actions\n\nFollow the instructions at\nhttps://github.com/actions/toolkit/blob/master/docs/action-versioning.md\n\n## Contributing\n\n### Development Guide on this fork\n\n- `node_modules` and `dist` are source controlled because it's needed for github actions. Alternatively, we could use something like `@vercel/ncc` in future to avoid this.\n- To develop:\n- Install yarn: `npm install -g yarn`\n- When done, run `yarn format && yarn lint && yarn build`\n- If you make any changes to dependencies, use `yarn install --frozen-lockfile`\n- Check in changes to `/src`, `/dist`, and any relevant changes to node_modules and lockfile\n\n### Other\n\nIf you feel like an improvement could be made, please open an issue in the PyTorch Lightning repository instead.\n\nhttps://github.com/PyTorchLightning/pytorch-lightning\n\n## License\n\n(cc-bot) ISC © 2019 Edward Z. Yang <ezyang@fb.com> (https://pytorch.org)\n(check-group) ISC © 2020 Tianhao Zhou tianhaoz@umich.edu\nISC © 2022 Carlos Mocholí <carlos@lightning.ai> (https://lightning.ai)"},{"ref":"P3","kind":"page","title":"Senior Technical Writer, Developer Experience","date":"2026-06-11T04:11:30.870376+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7728021003","signal_url":null,"signal_json_url":null,"text":"Job Application for Senior Technical Writer, Developer Experience at Lightning AI \n\nBack to jobs \nSenior Technical Writer, Developer Experience\nNew York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nAt Lightning AI, docs aren't just a support function—they're a product surface. They're often the first real experience a developer has with our platform, and in a PLG motion, that means they directly drive activation, retention, and revenue.\n\nWe're looking for a Senior Technical Writer, Developer Experience who treats documentation that way: with product instincts, editorial craft, and the drive to own it end-to-end. \n\nThis role is based in one of our U.S. office hubs (Seattle, NYC, or San Fran), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time. \n\nWhat You'll Do \n\nThe docs product. Audit what exists, cut what doesn't serve developers, and build a roadmap for what's missing. You'll own information architecture, structure, and coverage across Lightning Studios (AI Dev Platform) and Lightning Deploy (Inference Platform) — each with a UI, SDK, and CLI.\n\nThe getting-started experience. Our PLG flywheel runs through docs. You'll own the entry point where developers go from zero to value, and you'll treat time-to-first-success as a metric wo"},{"ref":"P4","kind":"page","title":"Forward Deployed Engineer","date":"2026-06-11T04:11:30.788456+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7742081003","signal_url":null,"signal_json_url":null,"text":"Job Application for Forward Deployed Engineer at Lightning AI \n\nBack to jobs \nForward Deployed Engineer\nLondon, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We Are Looking For \n\nWe are seeking an experienced Forward Deployed Engineer to partner directly with customers to architect, build, and deploy production AI systems and workflows on Lightning AI’s platform. In this role, you will own the customer journey from early exploration through production deployment, translating ambiguous business goals into reliable, observable systems with clear quality, latency, scalability, and cost outcomes.\n\nThis role sits at the intersection of software engineering, research engineering, AI infrastructure, product thinking, and customer engagement. You’ll work closely with customer engineering teams as well as Lightning’s internal product and engineering organizations to deliver production-ready AI systems that help customers realize value quickly and scale with confidence.\n\nThis is a hands-on engineering role that combines software development, AI infrastructure, technical customer engagement, and product thinking. Successful candidates will be highly technical, customer-oriented builders who thrive in fast-moving environments and enjoy solving ambiguous, real-world AI systems problems.\n\nThis role is based in one o"},{"ref":"P5","kind":"page","title":"Account Executive","date":"2026-06-11T04:11:30.786258+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/6326232003","signal_url":null,"signal_json_url":null,"text":"Job Application for Account Executive at Lightning AI \n\nBack to jobs \nAccount Executive\nNew York, New York, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nWe are looking for an Account Executive with experience selling highly technical, developer-focused products to CTOs, VPs of Engineering, software engineers, researchers, and/or data scientists. You thrive in a fast-paced, start-up environment focusing on every step of the sales process, from prospecting, qualifying, and nurturing leads to running demos, negotiating contracts, and closing deals. We want someone who thinks about how to uncover and address our customers’ problems to drive customer acquisition while feeding their requirements back to inform the product roadmap.\n\nThis role is based out of our New York City office, with an in-office requirement of at least 3 days per week and occasional team and company offsites.\n\nWhat You’ll Do \n\nBuild an understanding of our target markets, value proposition, and pricing models to not only meet but exceed quarterly revenue targets.\n\nFocus on high-quality, consistent outbound prospecting across key market segments to build the sales pipeline and optimize the customer funnel.\n\nQualify and develop both inbound and outbound sales leads.\n\nCollaborate with the product, engineering, and marketing teams to continuously improve and iterate on the sales process.\n\nAnalyze industry trends and customer segmentation to"},{"ref":"P6","kind":"page","title":"Senior Product Manager, Inference","date":"2026-06-11T04:11:30.626871+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7702094003","signal_url":null,"signal_json_url":null,"text":"Job Application for Senior Product Manager, Inference at Lightning AI \n\nBack to jobs \nSenior Product Manager, Inference\nNew York, New York, United States; San Francisco, California, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nWe're looking for a Founding Product Manager for Inference who will own this product end-to-end—roadmap, pricing, and GTM—from the ground up. This is a zero-to-one role at the intersection of deep technical fluency and commercial instinct. You'll define what we build and why, design the developer journey from first API call to production workload, and be the product voice in sales cycles and the market.\n\nThe right candidate has lived inside the machine; they've operated model serving infrastructure or shipped products on top of it, and can move fluidly between a latency/throughput tradeoff conversation with an infra engineer and a positioning conversation with a sales lead. You will be joining the Product Team and report to our VP of Product working directly with our executive team as we grow this business. \n\nThis is a hybrid role based in our New York City or San Francisco office with in-office requirements of 2 days per week. \n\nWhat You’ll Do \n\nDefine Lightning AI's inference product vision and roadmap — what we build, what we don't, and in what order — translating the competitive landscape (vLLM, Together, Fireworks, Modal, hyperscaler inference APIs) into a differentiated str"},{"ref":"P7","kind":"page","title":"Frontend Engineer","date":"2026-06-11T04:11:30.520424+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/6026279003","signal_url":null,"signal_json_url":null,"text":"Job Application for Frontend Engineer at Lightning AI \n\nBack to jobs \nFrontend Engineer\nLondon, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nWe’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.\n\nThis role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.\n\nWhat You’ll Do \n\nWrite readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.\n\nPartner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.\n\nEvaluate, strengthen, and document technical architecture, tools, and pro"},{"ref":"P8","kind":"page","title":"Senior Legal Counsel","date":"2026-06-11T04:11:30.448356+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7741922003","signal_url":null,"signal_json_url":null,"text":"Job Application for Senior Legal Counsel at Lightning AI \n\nBack to jobs \nSenior Legal Counsel\nNew York, New York, United States; San Francisco, California, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For\n\nWe are looking for a Senior Counsel to join our Legal team at an inflection point. Lightning AI is on a strong growth trajectory—backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute—and the legal function is scaling with it. You will be joining a small, high-performing team with solid infrastructure already in place, and stepping into a role with real ownership: primary responsibility for the corporate legal matters that sit at the heart of how we grow, finance the business, and transact. As AI regulation and governance become increasingly central to how technology companies operate, you will also be on the front lines of those emerging issues—advising leadership as the legal landscape around AI infrastructure continues to evolve. You will join the Legal Team and report directly to the VP of Legal.\n\nThis is a hybrid role based in our New York City or San Francisco office with in-office requirements of 2 days per week. \n\nWhat You’ll Do\n\nServe as primary legal owner for corporate matters including equity and debt financings, M&A transactions, and day-to-day corporate governance.\n\nLead and manage equity and debt transactions end-to-end, including venture and growth financings, venture debt"},{"ref":"P9","kind":"page","title":"Platform Support Engineer (EMEA)","date":"2026-06-11T04:11:30.366728+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7733608003","signal_url":null,"signal_json_url":null,"text":"Job Application for Platform Support Engineer (EMEA) at Lightning AI \n\nBack to jobs \nPlatform Support Engineer (EMEA)\nLondon, England, United Kingdom\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We’re Looking For \n\nLightning AI is looking to hire Platform Support Engineers to join our EMEA Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.\n\nThis role is not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You’ll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.\n\nWe are currently hiring for two EMEA shifts (9AM–7PM CET/CEST): \n\nSunday–Wednesday\n\nSaturday–Tuesday OR Thursday–Sunday\n\nThis role is hybrid out of our London office, with an in-office requirement of at least 2 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. \n\nWhat You'll Do \n\nWork Directly With ML Engineers \n\nPartn"},{"ref":"P10","kind":"page","title":"Research Engineer","date":"2026-06-11T04:11:30.358742+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/6045023003","signal_url":null,"signal_json_url":null,"text":"Job Application for Research Engineer at Lightning AI \n\nBack to jobs \nResearch Engineer\nLondon, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For\n\nWe are seeking a highly skilled Research Engineer to help optimize training and inference workloads running on Lightning AI infrastructure. This role sits at the intersection of ML systems, AI infrastructure, performance engineering, and practical research. You’ll work across models, inference systems, and platform infrastructure to improve performance, scalability, and reliability for real-world AI workloads.\n\nThis is a highly cross-functional role that combines deep technical problem solving with hands-on implementation. Successful candidates are comfortable working broadly across the stack — from model behavior and inference systems to distributed infrastructure and developer tooling — while collaborating closely with customers and internal engineering teams to solve complex AI performance challenges.\n\nThis role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites.\n\nWhat You'll Do \n\nOptimize large-scale training and inference workloads across GPUs, accelerators, and distributed systems\n\nWork directly with customers to analyze workloads, identify bottle"},{"ref":"P11","kind":"page","title":"Senior Application Security Engineer, AI and Machine Learning","date":"2026-06-11T04:11:30.195161+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7687112003","signal_url":null,"signal_json_url":null,"text":"Job Application for Senior Application Security Engineer, AI and Machine Learning at Lightning AI \n\nBack to jobs \nSenior Application Security Engineer, AI and Machine Learning\nSan Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nWe are looking for a Senior Application Security Engineer to help secure our AI, machine learning, and inference platforms. This is a hands on technical role focused on building security into modern AI infrastructure, inference systems, and developer platforms.\n\nYou will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely.\n\nThis role is execution focused. You will drive technical implementation, perform deep security reviews, and help build out our application security capabilities alongside the CISO and engineering leadership.\n\nThis role can be based out of one of our office hubs (San Francisco or Seattle) with in-office requirements of at least 2 days per week, plus occasional team/company offsites. We are not able to offer visa sponsorship for this position at this time.\n\nWhat You’ll Do \n\nSecure AI and Machine Learning Systems \n\nPerform threat modeling across AI platforms, inference services, and ML pipelines\n\nIdentify risks such as prompt injection, model extraction, adver"},{"ref":"P12","kind":"page","title":"Treasury Lead","date":"2026-06-11T04:11:30.075493+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7718807003","signal_url":null,"signal_json_url":null,"text":"page_title \n\nBack to jobs \nTreasury Lead\nNew York, New York, United States; San Francisco, California, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWHAT WE’RE LOOKING FOR \n\nWe are looking for a Treasury Lead to own and scale key treasury accounting, reporting, and control processes as Lightning grows. You will play a critical role in supporting treasury-related activities across financing arrangements, capital investments, vendor obligations, cash management, hedging, and financial reporting. This role will partner closely with Finance, Accounting, Legal, Tax, Infrastructure Operations, Accounts Payable, and external auditors to ensure accurate reporting, strong controls, and scalable treasury processes.\n\nThis is a high-impact role for someone who combines strong technical accounting knowledge with an operational mindset. You will help evaluate complex financing structures, support accounting conclusions, maintain documentation, and strengthen the control environment around treasury activities. The treasury scope is deep, leadership visibility is high, and the work directly supports capital allocation, infrastructure growth, audit readiness, and financial accuracy.\n\nThis is a hybrid role based in either New York City or San Francisco with in-office requirements of 2 days per week. The salary range for this role is $185,000–$200,000 .\n\nWHAT YOU'LL DO \n\nBuild and own the treasury function \n\nStand up Lightning AI's treasury opera"},{"ref":"P13","kind":"page","title":"Not seeing the right opportunity right now?","date":"2026-06-11T04:11:29.98876+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7727903003","signal_url":null,"signal_json_url":null,"text":"Job Application for Not seeing the right opportunity right now? at Lightning AI \n\nBack to jobs \nNot seeing the right opportunity right now?\nLondon, England, United Kingdom; New York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nJoin our Talent Community!\n\nWe’re always looking to connect with exceptional talent. If what we’re building resonates with you, we’d love to learn more about your background and what you’re looking to do next.\n\nIf you’d like to be considered for future opportunities with us, please submit your information below. This is an expression of interest, so while we may not be in touch immediately, your information will be kept on file and reviewed as new roles open up. In the meantime, we encourage you to follow us on LinkedIn and check our careers page for updates.\n\nWe are hiring across our U.S. and London hubs, and occasionally have remote opportunities as well. If you see a role that aligns with your experience, we recommend applying directly to that posting so our team can review your application as soon as possible.\n\nBenefits and Perks \n\nWe offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.\n\nBenefits include: \n\nComprehensive medical, dental and vision coverage (U.S.); Private medical "},{"ref":"P14","kind":"page","title":"Platform Support Engineer (APAC)","date":"2026-06-11T04:11:29.963336+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7733713003","signal_url":null,"signal_json_url":null,"text":"Job Application for Platform Support Engineer (APAC) at Lightning AI \n\nBack to jobs \nPlatform Support Engineer (APAC)\nRemote\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We’re Looking For \n\nLightning AI is looking to hire a Platform Support Engineer to join our APAC Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.\n\nThis role is not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You’ll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.\n\nThis role is remote and open to candidates based in either the Philippines or Singapore. The role follows a Thursday–Sunday schedule, with working hours from 7:00 AM to 5:00 PM local time (UTC+8). \n\nWhat You'll Do \n\nWork Directly With ML Engineers \n\nPartner directly with customer engineering teams running training and inference workloads in production\n\nHelp customers diagnose and resolve complex distributed systems an"},{"ref":"P15","kind":"page","title":"Network Security Engineer","date":"2026-06-11T04:11:29.94895+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7690402003","signal_url":null,"signal_json_url":null,"text":"Job Application for Network Security Engineer at Lightning AI \n\nBack to jobs \nNetwork Security Engineer\nSan Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nWe’re looking for a Network Security Engineer to design, implement, and maintain secure network infrastructure across Lightning AI’s platform. In this role, you’ll take ownership of security systems and controls, working closely with infrastructure and engineering teams to ensure the reliability and protection of our production environment, including safeguarding our AI infrastructure against evolving threats.\n\nThis role can be based out of one of our office hubs (San Francisco or Seattle), with in-office requirements of at least 2 days per week and occasional team and company offsites. We are not able to offer visa sponsorship for this position at this time.\n\nWhat You'll Do \n\nNetwork Security Design & Implementation : Architect robust network infrastructures, leveraging firewalls, VPNs, IDS/IPS, and network segmentation to enhance security.\n\nThreat Prevention & Risk Mitigation : Conduct comprehensive vulnerability assessments and penetration tests, ensuring robust security policies and access controls.\n\nMonitoring & Incident Response : Utilize SIEM tools for proactive threat detection and collaborate with SOC teams for incident response and breach investigation.\n\nCompliance & Security Governan"},{"ref":"P16","kind":"page","title":"Infrastructure Engineer (Storage)","date":"2026-06-11T04:11:29.742195+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7718708003","signal_url":null,"signal_json_url":null,"text":"Job Application for Infrastructure Engineer (Storage) at Lightning AI \n\nBack to jobs \nInfrastructure Engineer (Storage)\nNew York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nLightning AI is seeking a Storage Infrastructure Engineer to join our Infrastructure Engineering team.\n\nIn this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.\n\nYou will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.\n\nWe’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.\n\nWhat You'll Do \n\nStorage Systems & Infrastructure \n\nOperate and scale distributed storage sy"},{"ref":"P17","kind":"page","title":"Infrastructure Engineer (Observability)","date":"2026-06-11T04:11:29.584075+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7725351003","signal_url":null,"signal_json_url":null,"text":"Job Application for Infrastructure Engineer (Observability) at Lightning AI \n\nBack to jobs \nInfrastructure Engineer (Observability)\nNew York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We’re Looking For\n\nLightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.\n\nIn this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.\n\nYou will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.\n\nWe’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.\n\nWhat You’ll Do\n\nObservability Platform & Productization\n\nOwn and evolve a scalable observability plat"},{"ref":"P18","kind":"page","title":"Director, Corporate Accounting","date":"2026-06-11T04:11:29.562893+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7718854003","signal_url":null,"signal_json_url":null,"text":"page_title \n\nBack to jobs \nDirector, Corporate Accounting\nSan Francisco, California, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWHAT WE’RE LOOKING FOR \n\nWe are looking for a Director, Corporate Accounting to own and scale critical accounting operations as Lightning grows. You will be responsible for supporting accurate financial reporting, improving close processes, strengthening internal controls, and building scalable accounting workflows across the business. This role will partner closely with Finance, FP&A, People Operations, Sales Operations, Legal, and external advisors to ensure accounting operations are accurate, compliant, and built for scale.\n\nThis is a high-impact role for someone who combines strong technical accounting knowledge with an operational mindset. You will help manage core accounting activities, payroll accounting, commissions accounting, reconciliations, journal entries, close-related processes, and cross-functional accounting operations. The accounting scope is broad, leadership visibility is high, and the work directly supports financial accuracy, operating discipline, audit readiness, and long-term business scalability.\n\nThis is a hybrid role based in either New York City or San Francisco with in-office requirements of 2 days per week. The salary range for this role is $200,000–$220,000 .\n\nWHAT YOU'LL DO \n\nLead and build the Corporate Accounting team \n\nHire, develop, and lead a team of 6+ across wo"},{"ref":"P19","kind":"page","title":"Network Operations Center (NOC) Analyst","date":"2026-06-11T04:11:29.539755+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7749005003","signal_url":null,"signal_json_url":null,"text":"Job Application for Network Operations Center (NOC) Analyst at Lightning AI \n\nBack to jobs \nNetwork Operations Center (NOC) Analyst\nFort Worth, Texas, United States; Lisle, Illinois, United States; Quincy, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nLightning AI is seeking Network Operations Center (NOC) Analysts to support 24/7 operations across select high-performance compute data centers with advanced monitoring infrastructure. This is a technically focused role centered on telemetry analysis, infrastructure monitoring, and independent diagnosis of compute, network, and hardware systems.\n\nYou will serve as the first line of technical response — analyzing telemetry signals, diagnosing system anomalies, and troubleshooting Linux and network-layer issues before escalating with clear, actionable findings. You will operate with a high degree of independence, applying sound judgment in situations that often extend beyond predefined runbooks.\n\nThis role offers a clear pathway toward positions in network engineering, site reliability, or data center operations, and the opportunity work with next-generation AI hardware and some of the most advanced compute infrastructure deployed today.\n\nThis role is based onsite at one of our data center facilities in Lisle, IL; Fort Worth, TX; or Quincy, WA. Shift flexibility is required to support our 24/7 operations environment. We are not able to provide vi"},{"ref":"P20","kind":"page","title":"Network Operations Center (NOC) Operator","date":"2026-06-11T04:11:29.48736+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7749656003","signal_url":null,"signal_json_url":null,"text":"Job Application for Network Operations Center (NOC) Operator at Lightning AI \n\nBack to jobs \nNetwork Operations Center (NOC) Operator\nFort Worth, Texas, United States; Lisle, Illinois, United States; Quincy, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nLightning AI is seeking Network Operation Center (NOC) Operators to support 24/7 operations across select high-performance compute data centers with advanced monitoring infrastructure. This is an entry-level role focused on monitoring, alert triage, and escalation.\n\nIn this role, you will serve as the first line of response, ensuring that system alerts are acknowledged, validated, and routed to the appropriate teams. You will follow structured runbooks and workflows to support reliable operations across our infrastructure.\n\nThis is a excting opportunity to start a career in data center operations, networking, or infrastructure while gaining exposure to advanced AI systems and large-scale GPU infrastructure. In this role, you will: \n\nLearn the fundamentals of data center operations, networking, and system reliability\n\nGain exposure to large-scale AI and HPC environments\n\nAssist with hands-on data center support activities under guidance\n\nPotential growth paths include: \n\nData Center Technician\n\nNetwork Operations Engineer\n\nSite Reliability Engineer (SRE)\n\nThis role is based onsite at one of our data center facilities in Lisle, IL; Fort Worth, "},{"ref":"P21","kind":"page","title":"Backend Engineer","date":"2026-06-11T04:11:29.14264+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/5740846003","signal_url":null,"signal_json_url":null,"text":"Job Application for Backend Engineer at Lightning AI \n\nBack to jobs \nBackend Engineer\nLondon, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nWe’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.\n\nThis role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.\n\nWhat You’ll Do \n\nWrite readable/testable/efficient code in Go (Golang).\n\nBuild deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.\n\nPartner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.\n\nEvaluate, strengthen, and document technical architecture, tools, and processes.\n\nMaintain software quality, implement automati"},{"ref":"P22","kind":"page","title":"Lead Research Engineer","date":"2026-06-11T04:11:29.133024+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7546419003","signal_url":null,"signal_json_url":null,"text":"Job Application for Lead Research Engineer at Lightning AI \n\nBack to jobs \nLead Research Engineer\nLondon, England, United Kingdom; New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For\n\nWe are seeking a highly skilled Lead Research Engineer to lead optimization efforts for training and inference workloads running on Lightning AI infrastructure. This role sits at the intersection of ML systems, AI infrastructure, performance engineering, and practical research. You’ll drive improvements across models, inference systems, and platform infrastructure to improve performance, scalability, and reliability for real-world AI workloads.\n\nThis is a highly cross-functional role that combines deep technical leadership with hands-on implementation. Successful candidates are comfortable operating broadly across the stack — from model behavior and inference systems to distributed infrastructure and developer tooling — while partnering closely with customers and internal engineering teams to solve complex AI systems challenges at scale.\n\nThis role is based in one of our hubs (NYC, SF, London, or Seattle — NYC and London are preferred), with a minimum of 2 in-office days per week and occasional team and company offsites. \n\nWhat You'll Do \n\nLead optimization efforts for large-scale training and inference workloads across GPUs, accelera"},{"ref":"P23","kind":"page","title":"Infrastructure Operations Engineer","date":"2026-06-11T04:11:29.129081+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7737825003","signal_url":null,"signal_json_url":null,"text":"Job Application for Infrastructure Operations Engineer at Lightning AI \n\nBack to jobs \nInfrastructure Operations Engineer\nNew York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\n*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" data-turn-id=\"request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1\" data-turn-id-container=\"request-WEB:6da214d3-9e35-4d43-89b6-34d5a76ffba7-1\" data-testid=\"conversation-turn-4\" data-scroll-anchor=\"false\" data-turn=\"assistant\">\n\nWhat We're Looking For \n\nLightning AI is seeking an experienced Infrastructure Operations Engineers to help scale and operate our next-generation AI infrastructure platform. Our InfraOps team sits at the center of reliability, automation, and operational scale for GPU infrastructure. This team owns break/fix operations, incident response, customer provisioning, observability, and the automation systems that keep complex infrastructure running efficiently.\n\nIn this role, you’ll work hands-on with large-scale GPU environments, Linux systems, bare metal infrastructure, provisioning workflows, and platform reliability. You’ll partner closel"},{"ref":"P24","kind":"page","title":"Director of Legal Operations","date":"2026-06-11T04:11:28.657882+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7738986003","signal_url":null,"signal_json_url":null,"text":"Job Application for Director of Legal Operations at Lightning AI \n\nBack to jobs \nDirector of Legal Operations\nNew York, New York, United States; San Francisco, California, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For\n\nWe are looking for a Director of Legal Operations to serve as the operational backbone of Lightning AI’s Legal team. This is a senior, highly cross-functional role for a self-directed operator who thrives on building structure, driving outcomes, and solving hard problems without waiting to be told how. You will own the systems, tools, and processes that enable our legal function to scale alongside one of the fastest-growing companies in AI infrastructure—and you will serve as a true strategic partner to the VP of Legal and the broader organization. You will join the Legal Team and report directly to the VP of Legal, serving as the department’s operational lead.\n\nThis is a hybrid role based in our New York City or San Francisco office with in-office requirements of 2 days per week. \n\nWhat You’ll Do\n\nOwn and drive the Legal team’s operational strategy, including setting quarterly priorities and targets, tracking progress against department goals, and delivering clear reporting to the VP of Legal and executive leadership.\n\nEstablish and maintain metrics, dashboards, and reporting frameworks that give the Legal team and its stakeholders real-time visibility into workload, performance, and outco"},{"ref":"P25","kind":"page","title":"Infrastructure Engineer (GPU & Compute)","date":"2026-06-11T04:11:27.896075+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7722285003","signal_url":null,"signal_json_url":null,"text":"Job Application for Infrastructure Engineer (GPU & Compute) at Lightning AI \n\nBack to jobs \nInfrastructure Engineer (GPU & Compute)\nNew York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nLightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.\n\nIn this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.\n\nYou will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.\n\nWe’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time. \n\nWhat You'll Do \n\nSystems, Image & Validation Infrastructure \n"},{"ref":"P26","kind":"page","title":"Sales Development Representative","date":"2026-06-11T04:11:27.801004+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/6969534003","signal_url":null,"signal_json_url":null,"text":"Job Application for Sales Development Representative at Lightning AI \n\nBack to jobs \nSales Development Representative\nNew York, New York, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nWe are seeking a driven, goal-oriented, and quick-learning Sales Development Representative (SDR) to join our team. In this role, you'll be at the forefront of generating new business opportunities by engaging with prospective clients and building a robust sales pipeline. You'll work closely with the team to identify, qualify, and nurture leads, ensuring a seamless handoff to our account executives. This will be an outbound role with a heavy emphasis on prospecting.\n\nThis role is based out of our New York City office, with an in-office requirement of at least 4 days per week and occasional team and company offsites.\n\nWhat You’ll Do \n\nBecome an expert on our sales process with an in-depth understanding of our target markets, value proposition, and pricing models to not only meet but exceed both quarterly and annual goals.\n\nFocus on high-quality, consistent outbound prospecting across all market segments to build the sales pipeline and optimize the customer funnel.\n\nQualify and develop outbound sales leads.\n\nCollaborate with the sales and marketing teams to build and optimize email campaigns with targeted messaging for specific user personas and improve the lead qualification process.\n\nAnalyze industry trends and customer se"},{"ref":"P27","kind":"page","title":"Global Tax Lead","date":"2026-06-11T04:11:27.781513+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7718796003","signal_url":null,"signal_json_url":null,"text":"Job Application for Global Tax Lead at Lightning AI \n\nBack to jobs \nGlobal Tax Lead\nNew York, New York, United States; San Francisco, California, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWHAT WE’RE LOOKING FOR \n\nWe are looking for a Global Tax Lead to own and scale Lightning’s corporate tax compliance function as the company grows. You will be responsible for managing income tax compliance, tax accounting support, forecasting, risk mitigation, and tax process improvements across the business. This role will partner closely with Finance, Accounting, FP&A, Legal, and external advisors to ensure accurate filings, strong controls, and scalable tax operations.\n\nThis is a high-impact role for someone who combines deep technical tax expertise with an operational mindset. You will help build the systems, processes, documentation, and controls needed to support a fast-growing AI infrastructure company operating in a complex and evolving tax environment. The tax scope is broad, leadership visibility is high, and the work directly supports financial accuracy, compliance, risk management, and long-term business scalability.\n\nThis is a hybrid role based in either New York City or San Francisco with in-office requirements of 2 days per week. The salary range for this role is $185,000–$200,000 .\n\nWHAT YOU'LL DO \n\nBuild and own the tax function \n\nStand up Lightning AI's corporate tax function across the multi-entity consolidated group\n\nEs"},{"ref":"P28","kind":"page","title":"FP&A Manager","date":"2026-06-11T04:11:27.118128+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7718671003","signal_url":null,"signal_json_url":null,"text":"Job Application for FP&A Manager at Lightning AI \n\nBack to jobs \nFP&A Manager\nNew York, New York, United States; San Francisco, California, United States\n\nApply \nWho We Are \n\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n\nWhat We're Looking For \n\nWe are looking for an FP&A Manager to own the financial planning and analysis function at Lightning AI following our merger with Voltage Park. You will build and run the planning cadence for a combined business that spans a developer-first software platform and a large-scale GPU cloud, translating a complex P&L into the clearest possible picture of performance, unit economics, and capital efficiency for leadership, the board, and our investors.\n\nYou will be the financial backbone behind decisions that span GPU capacity and CapEx, software ARR growth, merger integration, and long-range planning. You will own the model, own the forecast, and own the narrative behind the numbers. You will work directly with senior executives across Infrastructure, Sales, Product, Engineering, Marketing, and Accounting.\n\nThis role is ideal for someone who wants to graduate from building models to shaping how an AI cloud runs its business and who finds it energizing to bring order to a fast-moving, post-merger environment.\n\nThis is a hybrid role based in either New York City or San Francisco with in-office requirements of 2 days per week. The salary range for this role is $185,000–$210,000 .\n\nWhat You'll Do \n\nOwn the company-wide operating mo"},{"ref":"E1","kind":"event","title":"Finetuning LLMs with LoRA and QLoRA: Insights from Hundreds of Experiments","date":"2023-10-13T01:58:40+00:00","date_source":"source","source_url":"https://lightning.ai/pages/community/lora-insights/","signal_url":"https://onlylabs.fyi/signals/26fdaab0-6ae2-4bd7-9e08-531224a114ad","signal_json_url":"https://onlylabs.fyi/signals/26fdaab0-6ae2-4bd7-9e08-531224a114ad/signal.json","text":"post_published · Finetuning LLMs with LoRA and QLoRA: Insights from Hundreds of Experiments · signal_desk=talking · occurred_at=2023-10-13T01:58:40+00:00 · url=https://lightning.ai/pages/community/lora-insights/ · hn=258 points/39 comments · raw={\"excerpt\":\"Introduction: Getting the Most out of LoRA I’ve run hundreds, if not thousands, of experiments involving LoRA over the past few months. A few weeks ago, I took the time to delve deeper into some of the hyperparameter choices. This is more of an experimental diary presented in sequential order. I hope it proves... Read more »\\nThe post Finetuning LLMs with LoRA and QLoRA: Insights from Hundreds of Experiments appeared first on Lightning AI.\"}"},{"ref":"E2","kind":"event","title":"Lightning-AI/lit-llama","date":"2023-03-22T14:28:32+00:00","date_source":"source","source_url":"https://github.com/Lightning-AI/lit-llama","signal_url":"https://onlylabs.fyi/signals/349ba234-c6fd-4f6e-8daf-ba19de0ff1d3","signal_json_url":"https://onlylabs.fyi/signals/349ba234-c6fd-4f6e-8daf-ba19de0ff1d3/signal.json","text":"repo_new · Lightning-AI/lit-llama · signal_desk=repos · occurred_at=2023-03-22T14:28:32+00:00 · url=https://github.com/Lightning-AI/lit-llama · stars=6080 · hn=158 points/52 comments · raw={\"repo\":\"Lightning-AI/lit-llama\",\"description\":\"Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.\",\"language\":\"Python\"}"},{"ref":"E3","kind":"event","title":"Lightning-AI/pytorch-lightning","date":"2019-03-31T00:45:57+00:00","date_source":"source","source_url":"https://github.com/Lightning-AI/pytorch-lightning","signal_url":"https://onlylabs.fyi/signals/49e31f8e-b912-4e18-9b65-e6af3bc13f2f","signal_json_url":"https://onlylabs.fyi/signals/49e31f8e-b912-4e18-9b65-e6af3bc13f2f/signal.json","text":"repo_new · Lightning-AI/pytorch-lightning · signal_desk=repos · occurred_at=2019-03-31T00:45:57+00:00 · url=https://github.com/Lightning-AI/pytorch-lightning · stars=31180 · raw={\"repo\":\"Lightning-AI/pytorch-lightning\",\"description\":\"Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.\",\"language\":\"Python\"}"},{"ref":"E4","kind":"event","title":"Lightning-AI/LitServe","date":"2023-12-12T14:45:03+00:00","date_source":"source","source_url":"https://github.com/Lightning-AI/LitServe","signal_url":"https://onlylabs.fyi/signals/090a5670-ad4e-4453-9000-8664ace0280b","signal_json_url":"https://onlylabs.fyi/signals/090a5670-ad4e-4453-9000-8664ace0280b/signal.json","text":"repo_new · Lightning-AI/LitServe · signal_desk=repos · occurred_at=2023-12-12T14:45:03+00:00 · url=https://github.com/Lightning-AI/LitServe · stars=3888 · hn=11 points/1 comments · raw={\"repo\":\"Lightning-AI/LitServe\",\"description\":\"A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.\",\"language\":\"Python\"}"},{"ref":"E5","kind":"event","title":"Lightning-AI/litgpt","date":"2023-05-04T17:46:11+00:00","date_source":"source","source_url":"https://github.com/Lightning-AI/litgpt","signal_url":"https://onlylabs.fyi/signals/45bcea2b-21dd-4eaa-bb46-f797455bb0ae","signal_json_url":"https://onlylabs.fyi/signals/45bcea2b-21dd-4eaa-bb46-f797455bb0ae/signal.json","text":"repo_new · Lightning-AI/litgpt · signal_desk=repos · occurred_at=2023-05-04T17:46:11+00:00 · url=https://github.com/Lightning-AI/litgpt · stars=13418 · raw={\"repo\":\"Lightning-AI/litgpt\",\"description\":\"20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.\",\"language\":\"Python\"}"},{"ref":"E6","kind":"event","title":"Lightning-AI/lightning-thunder","date":"2024-03-18T15:30:56+00:00","date_source":"source","source_url":"https://github.com/Lightning-AI/lightning-thunder","signal_url":"https://onlylabs.fyi/signals/f0555309-2f80-4978-ac4f-7da53861b940","signal_json_url":"https://onlylabs.fyi/signals/f0555309-2f80-4978-ac4f-7da53861b940/signal.json","text":"repo_new · Lightning-AI/lightning-thunder · signal_desk=repos · occurred_at=2024-03-18T15:30:56+00:00 · url=https://github.com/Lightning-AI/lightning-thunder · stars=1461 · hn=11 points/1 comments · raw={\"repo\":\"Lightning-AI/lightning-thunder\",\"description\":\"PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.\",\"language\":\"Python\"}"},{"ref":"E7","kind":"event","title":"Machine Learning Solutions Engineer (ML + Infrastructure Focus)","date":"2026-06-08T22:17:12+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/lightningai/jobs/5868155003","signal_url":"https://onlylabs.fyi/signals/87e6a371-e320-42ab-a16a-e02ea728c439","signal_json_url":"https://onlylabs.fyi/signals/87e6a371-e320-42ab-a16a-e02ea728c439/signal.json","text":"job_opened · Machine Learning Solutions Engineer (ML + Infrastructure Focus) · signal_desk=hiring · occurred_at=2026-06-08T22:17:12+00:00 · url=https://job-boards.greenhouse.io/lightningai/jobs/5868155003 · raw={\"location\":\"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States\",\"ats\":\"greenhouse\"}"},{"ref":"E8","kind":"event","title":"Platform Support Engineer (US)","date":"2026-06-05T19:19:25+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7746583003","signal_url":"https://onlylabs.fyi/signals/869aced8-8353-449f-b86e-8fd41058d6ad","signal_json_url":"https://onlylabs.fyi/signals/869aced8-8353-449f-b86e-8fd41058d6ad/signal.json","text":"job_opened · Platform Support Engineer (US) · signal_desk=hiring · occurred_at=2026-06-05T19:19:25+00:00 · url=https://job-boards.greenhouse.io/lightningai/jobs/7746583003 · raw={\"location\":\"San Francisco, California, United States; Seattle, Washington, United States\",\"ats\":\"greenhouse\"}"},{"ref":"E9","kind":"event","title":"Senior Network Engineer","date":"2026-06-04T15:49:07+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7763516003","signal_url":"https://onlylabs.fyi/signals/b5e94bc7-46ff-4745-b7dc-1171b305611d","signal_json_url":"https://onlylabs.fyi/signals/b5e94bc7-46ff-4745-b7dc-1171b305611d/signal.json","text":"job_opened · Senior Network Engineer · signal_desk=hiring · occurred_at=2026-06-04T15:49:07+00:00 · url=https://job-boards.greenhouse.io/lightningai/jobs/7763516003 · raw={\"location\":\"Remote\",\"ats\":\"greenhouse\"}"},{"ref":"E10","kind":"event","title":"Senior Technical Recruiter","date":"2026-06-03T14:00:11+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7747839003","signal_url":"https://onlylabs.fyi/signals/35f536ca-c532-485d-bff0-2585f65904cd","signal_json_url":"https://onlylabs.fyi/signals/35f536ca-c532-485d-bff0-2585f65904cd/signal.json","text":"job_opened · Senior Technical Recruiter · signal_desk=hiring · occurred_at=2026-06-03T14:00:11+00:00 · url=https://job-boards.greenhouse.io/lightningai/jobs/7747839003 · raw={\"location\":\"San Francisco, California, United States\",\"ats\":\"greenhouse\"}"},{"ref":"E11","kind":"event","title":"Lightning-AI/litData v0.2.63","date":"2026-05-28T11:31:07+00:00","date_source":"source","source_url":"https://github.com/Lightning-AI/litData/releases/tag/v0.2.63","signal_url":"https://onlylabs.fyi/signals/54252394-c616-4586-964a-7a76e1eb143c","signal_json_url":"https://onlylabs.fyi/signals/54252394-c616-4586-964a-7a76e1eb143c/signal.json","text":"release · Lightning-AI/litData v0.2.63 · signal_desk=releases · occurred_at=2026-05-28T11:31:07+00:00 · url=https://github.com/Lightning-AI/litData/releases/tag/v0.2.63 · raw={\"repo\":\"Lightning-AI/litData\"}"},{"ref":"E12","kind":"event","title":"Infrastructure Engineer (Storage)","date":"2026-05-27T16:29:32+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/lightningai/jobs/7718708003","signal_url":"https://onlylabs.fyi/signals/c6794837-b01c-4907-895b-4ec4f7e79b6c","signal_json_url":"https://onlylabs.fyi/signals/c6794837-b01c-4907-895b-4ec4f7e79b6c/signal.json","text":"job_opened · Infrastructure Engineer (Storage) · signal_desk=hiring · occurred_at=2026-05-27T16:29:32+00:00 · url=https://job-boards.greenhouse.io/lightningai/jobs/7718708003 · raw={\"location\":\"New York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States\",\"ats\":\"greenhouse\"}"},{"ref":"E13","kind":"event","title":"Sales Development Representative","date":"2026-05-27T16:29:32+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/lightningai/jobs/6969534003","signal_url":"https://onlylabs.fyi/signals/f1501931-6adb-465c-9e06-dfe50a3db109","signal_json_url":"https://onlylabs.fyi/signals/f1501931-6adb-465c-9e06-dfe50a3db109/signal.json","text":"job_opened · Sales Development Representative · signal_desk=hiring · occurred_at=2026-05-27T16:29:32+00:00 · url=https://job-boards.greenhouse.io/lightningai/jobs/6969534003 · raw={\"location\":\"New York, New York, United States\",\"ats\":\"greenhouse\"}"},{"ref":"E14","kind":"event","title":"Global Tax 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2.6.1 · signal_desk=releases · occurred_at=2026-01-30T14:57:51+00:00 · url=https://github.com/Lightning-AI/pytorch-lightning/releases/tag/2.6.1 · raw={\"repo\":\"Lightning-AI/pytorch-lightning\"}"},{"ref":"E52","kind":"event","title":"Lightning AI Joins AI Alliance To Advance Open, Safe, Responsible AI","date":"2023-12-07T14:01:29+00:00","date_source":"source","source_url":"https://lightning.ai/pages/community/announcements/lightning-ai-joins-ai-alliance-to-advance-open-safe-responsible-ai/","signal_url":"https://onlylabs.fyi/signals/588a30af-69e2-428d-913d-d0ab969a43ce","signal_json_url":"https://onlylabs.fyi/signals/588a30af-69e2-428d-913d-d0ab969a43ce/signal.json","text":"post_published · Lightning AI Joins AI Alliance To Advance Open, Safe, Responsible AI · signal_desk=talking · occurred_at=2023-12-07T14:01:29+00:00 · url=https://lightning.ai/pages/community/announcements/lightning-ai-joins-ai-alliance-to-advance-open-safe-responsible-ai/ · raw={\"excerpt\":\"Company Joins International Community of AI Organizations, Led by IBM and Meta, That Includes Leading Startups, Academia, Research and Government Organizations Lightning AI, the company behind PyTorch Lightning, today announced it has joined the AI Alliance, which includes more than 50 leading organizations across industries that are coming together to support open AI research, development,... Read more »\\nThe post Lightning AI Joins AI Alliance To Advance Open, Safe, Responsible AI appeared first on Lightning AI.\"}"},{"ref":"E53","kind":"event","title":"Lightning AI Joins the PyTorch Foundation as a Premier Member","date":"2023-11-17T00:00:00.000Z","date_source":"page.visible_date","source_url":"https://pytorch.org/blog/lightning-ai-joins-pytorch/#new_tab","signal_url":"https://onlylabs.fyi/signals/552b75da-77f1-4d70-97a6-cc1e557254fa","signal_json_url":"https://onlylabs.fyi/signals/552b75da-77f1-4d70-97a6-cc1e557254fa/signal.json","text":"post_published · Lightning AI Joins the PyTorch Foundation as a Premier Member · signal_desk=talking · occurred_at=2023-11-17T00:00:00.000Z · url=https://pytorch.org/blog/lightning-ai-joins-pytorch/#new_tab · raw={\"excerpt\":\"The post Lightning AI Joins the PyTorch Foundation as a Premier Member appeared first on Lightning AI.\"}"},{"ref":"E54","kind":"event","title":"8-bit Quantization with Lightning Fabric","date":"2023-11-15T21:50:11+00:00","date_source":"source","source_url":"https://lightning.ai/pages/blog/8-bit-quantization-with-lightning-fabric/","signal_url":"https://onlylabs.fyi/signals/7f76cc17-40bb-462e-9665-cfc75ea1325d","signal_json_url":"https://onlylabs.fyi/signals/7f76cc17-40bb-462e-9665-cfc75ea1325d/signal.json","text":"post_published · 8-bit Quantization with Lightning Fabric · signal_desk=talking · occurred_at=2023-11-15T21:50:11+00:00 · url=https://lightning.ai/pages/blog/8-bit-quantization-with-lightning-fabric/ · raw={\"excerpt\":\"Introduction The aim of 8-bit quantization is to reduce the memory usage of the model parameters by using lower precision types than full (float32) or half (bfloat16) precision. Meaning – 8-bit quantization compresses models that have billions of parameters like Llama 2 or SDXL and makes them require less memory. Thankfully, Lightning Fabric makes quantization... Read more »\\nThe post 8-bit Quantization with Lightning Fabric appeared first on Lightning AI.\"}"},{"ref":"E55","kind":"event","title":"4-Bit Quantization with Lightning Fabric","date":"2023-11-06T15:58:15+00:00","date_source":"source","source_url":"https://lightning.ai/pages/blog/4-bit-quantization-with-lightning-fabric/","signal_url":"https://onlylabs.fyi/signals/b8701699-97cc-4490-bea1-2c73e990a78a","signal_json_url":"https://onlylabs.fyi/signals/b8701699-97cc-4490-bea1-2c73e990a78a/signal.json","text":"post_published · 4-Bit Quantization with Lightning Fabric · signal_desk=talking · occurred_at=2023-11-06T15:58:15+00:00 · url=https://lightning.ai/pages/blog/4-bit-quantization-with-lightning-fabric/ · raw={\"excerpt\":\"Introduction The aim of 4-bit quantization is to reduce the memory usage of the model parameters by using lower precision types than full (float32) or half (bfloat16) precision. Meaning – 4-bit quantization compresses models that have billions of parameters like Llama 2 or SDXL and makes them require less memory. Thankfully, Lightning Fabric makes quantization... Read more »\\nThe post 4-Bit Quantization with Lightning Fabric appeared first on Lightning AI.\"}"},{"ref":"E56","kind":"event","title":"Quickstart to Lightning Fabric","date":"2023-11-01T19:35:27+00:00","date_source":"source","source_url":"https://lightning.ai/pages/blog/quickstart-to-lightning-fabric/","signal_url":"https://onlylabs.fyi/signals/e447def3-a606-4530-a2cb-e71b9542f712","signal_json_url":"https://onlylabs.fyi/signals/e447def3-a606-4530-a2cb-e71b9542f712/signal.json","text":"post_published · Quickstart to Lightning Fabric · signal_desk=talking · occurred_at=2023-11-01T19:35:27+00:00 · url=https://lightning.ai/pages/blog/quickstart-to-lightning-fabric/ · raw={\"excerpt\":\"Introduction Some engineers may prefer the greatest amount of control as possible over their PyTorch training loop. Yet, those same engineers also know the benefits of a lightweight, production ready framework that handles the heavy lifting when it comes to SOTA distributed training features. The Power of Lightning Fabric Lightning Fabric does this heavy lifting... Read more »\\nThe post Quickstart to Lightning Fabric appeared first on Lightning AI.\"}"},{"ref":"E57","kind":"event","title":"Doubling Neural Network Finetuning Efficiency with 16-bit Precision Techniques","date":"2023-11-01T00:41:18+00:00","date_source":"source","source_url":"https://lightning.ai/pages/community/tutorial/doubling-neural-network-finetuning-efficiency-with-16-bit-precision-techniques/","signal_url":"https://onlylabs.fyi/signals/5ab8dd79-f4ea-40c0-8b5f-5c5ec3fcb40e","signal_json_url":"https://onlylabs.fyi/signals/5ab8dd79-f4ea-40c0-8b5f-5c5ec3fcb40e/signal.json","text":"post_published · Doubling Neural Network Finetuning Efficiency with 16-bit Precision Techniques · signal_desk=talking · occurred_at=2023-11-01T00:41:18+00:00 · url=https://lightning.ai/pages/community/tutorial/doubling-neural-network-finetuning-efficiency-with-16-bit-precision-techniques/ · raw={\"excerpt\":\"In this article, we will work with a vision transformer from PyTorch’s Torchvision library, providing simple code examples that you can execute on your own machine without the need to download and install numerous code and dataset dependencies. The self-contained baseline training script comprises approximately 100 lines of code, excluding whitespace and code comments.... Read more »\\nThe post Doubling Neural Network Finetuning Efficiency with 16-bit Precision Techniques appeared first on Lightning AI.\"}"},{"ref":"E58","kind":"event","title":"Step-By-Step Walk-Through of Pytorch Lightning","date":"2023-10-19T09:09:34+00:00","date_source":"source","source_url":"https://lightning.ai/pages/community/tutorial/step-by-step-walk-through-of-pytorch-lightning/","signal_url":"https://onlylabs.fyi/signals/495f673f-6417-492f-b5dd-57aef64333fd","signal_json_url":"https://onlylabs.fyi/signals/495f673f-6417-492f-b5dd-57aef64333fd/signal.json","text":"post_published · Step-By-Step Walk-Through of Pytorch Lightning · signal_desk=talking · occurred_at=2023-10-19T09:09:34+00:00 · url=https://lightning.ai/pages/community/tutorial/step-by-step-walk-through-of-pytorch-lightning/ · raw={\"excerpt\":\"In this blog, you will learn about the different components of PyTorch Lightning and how to train an image classifier on the CIFAR-10 dataset with PyTorch Lightning. We will also discuss how to use loggers and callbacks like Tensorboard, ModelCheckpoint, etc. PyTorch Lightning is a high-level wrapper over PyTorch which makes model training easier and... Read more »\\nThe post Step-By-Step Walk-Through of Pytorch Lightning appeared first on Lightning AI.\"}"},{"ref":"E59","kind":"event","title":"PyTorch Lightning for Dummies – A Tutorial and Overview","date":"2023-10-17T22:37:27+00:00","date_source":"source","source_url":"https://lightning.ai/pages/blog/pl-tutorial-and-overview/","signal_url":"https://onlylabs.fyi/signals/d99d8d83-8be1-46d1-a6c8-1026a895278b","signal_json_url":"https://onlylabs.fyi/signals/d99d8d83-8be1-46d1-a6c8-1026a895278b/signal.json","text":"post_published · PyTorch Lightning for Dummies – A Tutorial and Overview · signal_desk=talking · occurred_at=2023-10-17T22:37:27+00:00 · url=https://lightning.ai/pages/blog/pl-tutorial-and-overview/ · raw={\"excerpt\":\"The code in this tutorial is available on GitHub in the text-lab repo. Clone the repo and follow along! Introduction Training deep learning models at scale is an incredibly interesting and complex task. Reproducibility for projects is key, and reproducible code bases are exactly what we get when we leverage PyTorch Lightning for training and... Read more »\\nThe post PyTorch Lightning for Dummies – A Tutorial and Overview appeared first on Lightning AI.\"}"},{"ref":"E60","kind":"event","title":"From PyTorch to PyTorch Lighting: Getting Started Guide","date":"2023-10-13T15:01:40+00:00","date_source":"source","source_url":"https://lightning.ai/pages/community/from-pytorch-to-pytorch-lighting-getting-started-guide/","signal_url":"https://onlylabs.fyi/signals/7522f997-84ca-4ae7-a383-dcb3b06e42da","signal_json_url":"https://onlylabs.fyi/signals/7522f997-84ca-4ae7-a383-dcb3b06e42da/signal.json","text":"post_published · From PyTorch to PyTorch Lighting: Getting Started Guide · signal_desk=talking · occurred_at=2023-10-13T15:01:40+00:00 · url=https://lightning.ai/pages/community/from-pytorch-to-pytorch-lighting-getting-started-guide/ · raw={\"excerpt\":\"If you’ve been working with PyTorch, you’re likely familiar with its power and flexibility in building and training deep learning models. However, as your projects become more complex and your codebase grows, you may find yourself spending a significant amount of time on boilerplate code for managing training loops, handling data loaders, and implementing common... Read more »\\nThe post From PyTorch to PyTorch Lighting: Getting Started Guide appeared first on Lightning AI.\"}"}]}