NVIDIA/dgx-spark-playbooks

NVIDIA/dgx-spark-playbooks

Description: Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.

Language: Jupyter Notebook

License: Apache-2.0

Stars: 943

Forks: 218

Open issues: 50

Created: 2025-10-03T18:45:19Z

Pushed: 2026-06-11T01:11:47Z

Default branch: main

Fork: no

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README:

DGX Spark Playbooks

Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.

About

These playbooks provide detailed instructions for:

• Installing and configuring popular AI frameworks
• Running inference with optimized models
• Setting up development environments
• Connecting and managing your DGX Spark device

Each playbook includes prerequisites, step-by-step instructions, troubleshooting guidance, and example code.

Available Playbooks

NVIDIA

• [CLI Coding Agent](nvidia/cli-coding-agent/)
• [Comfy UI](nvidia/comfy-ui/)
• [Connect Three DGX Spark in a Ring Topology](nvidia/connect-three-sparks/)
• [Set Up Local Network Access](nvidia/connect-to-your-spark/)
• [Connect Two Sparks](nvidia/connect-two-sparks/)
• [CUDA-X Data Science](nvidia/cuda-x-data-science/)
• [cuTile Kernels](nvidia/cutile-kernels/)
• [DGX Dashboard](nvidia/dgx-dashboard/)
• [FLUX.1 Dreambooth LoRA Fine-tuning](nvidia/flux-finetuning/)
• [Run Hermes Agent with Local Models](nvidia/hermes-agent/)
• [Install and Use Isaac Sim and Isaac Lab](nvidia/isaac/)
• [Optimized JAX](nvidia/jax/)
• [Live VLM WebUI](nvidia/live-vlm-webui/)
• [Run models with llama.cpp on DGX Spark](nvidia/llama-cpp/)
• [LLaMA Factory](nvidia/llama-factory/)
• [LM Studio on DGX Spark](nvidia/lm-studio/)
• [Build and Deploy a Multi-Agent Chatbot](nvidia/multi-agent-chatbot/)
• [Multi-modal Inference](nvidia/multi-modal-inference/)
• [Connect Multiple DGX Spark through a Switch](nvidia/multi-sparks-through-switch/)
• [NCCL for Two Sparks](nvidia/nccl/)
• [Fine-tune with NeMo](nvidia/nemo-fine-tune/)
• [Run NemoClaw with a Local LLM](nvidia/nemoclaw/)
• [🦞 Set Up Example NemoClaw Agents 🦞](nvidia/nemoclaw-applications/)
• [Nemotron-3-Nano with llama.cpp](nvidia/nemotron/)
• [NIM on Spark](nvidia/nim-llm/)
• [NVFP4 Quantization](nvidia/nvfp4-quantization/)
• [Ollama](nvidia/ollama/)
• [Open WebUI with Ollama](nvidia/open-webui/)
• [OpenClaw 🦞](nvidia/openclaw/)
• [Secure Long Running AI Agents with OpenShell on DGX Spark](nvidia/openshell/)
• [Portfolio Optimization](nvidia/portfolio-optimization/)
• [Fine-tune with Pytorch](nvidia/pytorch-fine-tune/)
• [RAG Application in AI Workbench](nvidia/rag-ai-workbench/)
• [Spark & Reachy Photo Booth](nvidia/reachy-photo-booth/)
• [Register DGX Spark to Brev](nvidia/register-to-brev/)
• [SGLang for Inference](nvidia/sglang/)
• [Single-cell RNA Sequencing](nvidia/single-cell/)
• [Speculative Decoding](nvidia/speculative-decoding/)
• [Set up Tailscale on Your Spark](nvidia/tailscale/)
• [TRT LLM for Inference](nvidia/trt-llm/)
• [Text to Knowledge Graph on DGX Spark](nvidia/txt2kg/)
• [Unsloth on DGX Spark](nvidia/unsloth/)
• [Vibe Coding in VS Code](nvidia/vibe-coding/)
• [vLLM for Inference](nvidia/vllm/)
• [VS Code](nvidia/vscode/)
• [Build a Video Search and Summarization (VSS) Agent](nvidia/vss/)

Resources

• Documentation: https://www.nvidia.com/en-us/products/workstations/dgx-spark/
• Developer Forum: https://forums.developer.nvidia.com/c/accelerated-computing/dgx-spark-gb10
• Terms of Service: https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf

License

See:

• [LICENSE](LICENSE) for licensing information.
• [LICENSE-3rd-party](LICENSE-3rd-party) for third-party licensing information.