{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Repo: NVIDIA/xr-ai","description":"NVIDIA repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/042b62eb-ff3d-4587-a9bb-6e494dabf88c","json_url":"https://onlylabs.fyi/signals/042b62eb-ff3d-4587-a9bb-6e494dabf88c/signal.json","generated_at":"2026-06-26T23:21:59.159Z","evidence_latest_fetched_at":"2026-06-17T07:02:43.820826+00:00","signal_first_seen_at":"2026-06-17T07:01:29.915036+00:00","org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/nvidia","dossier_json_url":"https://onlylabs.fyi/labs/nvidia/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/042b62eb-ff3d-4587-a9bb-6e494dabf88c","signal_json":"https://onlylabs.fyi/signals/042b62eb-ff3d-4587-a9bb-6e494dabf88c/signal.json","source":"https://github.com/NVIDIA/xr-ai","lab_dossier":"https://onlylabs.fyi/labs/nvidia","lab_dossier_json":"https://onlylabs.fyi/labs/nvidia/dossier.json","analysis":"https://onlylabs.fyi/analysis/nvidia","analysis_json":"https://onlylabs.fyi/analysis/nvidia/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/nvidia/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"NVIDIA published NVIDIA/xr-ai (Python). 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priorities early, especially around internal tooling, eval infrastructure, data systems, deployment, and agent workflows.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/042b62eb-ff3d-4587-a9bb-6e494dabf88c/signal.json","required":true},{"label":"source","url":"https://github.com/NVIDIA/xr-ai","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/nvidia/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/nvidia/evidence.json","required":true},{"label":"topic_signals_json","url":null,"required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze NVIDIA's repo signal \"NVIDIA/xr-ai\" for frontier lab 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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Public Beta Notice This project is publicly available in beta and is under active development. Features, APIs, documentation, and behavior may change as the project evolves. Expect bugs, incomplete functionality, and breaking changes. Use at your own discretion, and please report issues or feedback to help improve the project. What is XR AI? XR AI is a developer stack for building powerful XR and AI systems across devices, platforms, and deployment environments. It connects web, iOS/visionOS, AR glasses, and XR headset clients to GPU-accelerated AI services, tool-using agents, and the CloudXR stack for remote rendering. With XR AI, developers can build agents that see and hear what the user experiences, reason over live physical context, call external tools through MCP, and respond with audio or data in the same XR session. 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