{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Release: NVIDIA/nccl nccl-ep-v0.1.0","description":"NVIDIA release signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/40d9f453-e84f-43a2-8f34-ee27a563f9db","json_url":"https://onlylabs.fyi/signals/40d9f453-e84f-43a2-8f34-ee27a563f9db/signal.json","generated_at":"2026-06-10T09:22:48.364+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/40d9f453-e84f-43a2-8f34-ee27a563f9db","signal_json":"https://onlylabs.fyi/signals/40d9f453-e84f-43a2-8f34-ee27a563f9db/signal.json","source":"https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0","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":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"NVIDIA published NVIDIA/nccl nccl-ep-v0.1.0 (NVIDIA/nccl). This release signal is evidence of what shipped, changed, or was packaged for users. High-signal details: Release: NVIDIA/nccl nccl-ep-v0.1.0 - Repository: NVIDIA/nccl | Optimized primitives for collective multi-GPU communication | 5K stars | C++ - Name: NCCL EP v0.1.0.... onlylabs links this event to 1 captured evidence page and 6 related release signals.","signal_desk":"releases","source_context":{"source_url":"https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0","source_host":"github.com","occurred_at":"2026-06-08T22:54:11+00:00","first_seen_at":"2026-06-09T07:00:17.261926+00:00","date_source":"source","context":"NVIDIA/nccl"},"context_markers":[{"label":"Lab","value":"NVIDIA","source":"signal"},{"label":"Signal desk","value":"releases","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"NVIDIA/nccl","source":"source"},{"label":"Release","value":"NCCL EP v0.1.0 Release","source":"source"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch 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hard edge of lab execution and help connect data-business opportunities to concrete model, repo, and deployment changes.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/40d9f453-e84f-43a2-8f34-ee27a563f9db/signal.json","required":true},{"label":"source","url":"https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0","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":"https://onlylabs.fyi/topics/releases/signals.json","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 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nccl-ep-v0.1.0","predicate":"has lab","object":"NVIDIA","text":"NVIDIA/nccl nccl-ep-v0.1.0 has lab NVIDIA."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"has signal desk","object":"releases","text":"NVIDIA/nccl nccl-ep-v0.1.0 has signal desk releases."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"has source host","object":"github.com","text":"NVIDIA/nccl nccl-ep-v0.1.0 has source host github.com."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"has repository","object":"NVIDIA/nccl","text":"NVIDIA/nccl nccl-ep-v0.1.0 has repository NVIDIA/nccl."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"has release","object":"NCCL EP v0.1.0 Release","text":"NVIDIA/nccl nccl-ep-v0.1.0 has release NCCL EP v0.1.0 Release."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"has watch term","object":"Eval methodology","text":"NVIDIA/nccl nccl-ep-v0.1.0 has watch term Eval methodology."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"has watch 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This release signal is evidence of what shipped, changed, or was packaged for users. High-signal details: Release: NVIDIA/nccl nccl-ep-v0.1.0 - Repository: NVIDIA/nccl | Optimized primitives for collective multi-GPU communication | 5K stars | C++ - Name: NCCL EP v0.1.0.... onlylabs links this event to 1 captured evidence page and 6 related release signals.","semantic_triples":[{"subject":"NVIDIA","predicate":"released","object":"NVIDIA/nccl nccl-ep-v0.1.0","text":"NVIDIA released NVIDIA/nccl nccl-ep-v0.1.0."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"is classified as","object":"release signal","text":"NVIDIA/nccl nccl-ep-v0.1.0 is classified as release signal."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"belongs to","object":"releases desk","text":"NVIDIA/nccl nccl-ep-v0.1.0 belongs to releases desk."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"has context","object":"NVIDIA/nccl","text":"NVIDIA/nccl nccl-ep-v0.1.0 has context NVIDIA/nccl."},{"subject":"NVIDIA/nccl nccl-ep-v0.1.0","predicate":"has evidence coverage","object":"1 captured evidence page","text":"NVIDIA/nccl nccl-ep-v0.1.0 has evidence coverage 1 captured evidence page."}]},"signal":{"id":"40d9f453-e84f-43a2-8f34-ee27a563f9db","url":"https://onlylabs.fyi/signals/40d9f453-e84f-43a2-8f34-ee27a563f9db","json_url":"https://onlylabs.fyi/signals/40d9f453-e84f-43a2-8f34-ee27a563f9db/signal.json","source_url":"https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0","title":"NVIDIA/nccl nccl-ep-v0.1.0","summary":"NVIDIA published release notes. onlylabs watches releases for what actually shipped.","context":"NVIDIA/nccl","kind":{"key":"release","label":"Release"},"org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab"},"occurred_at":"2026-06-08T22:54:11+00:00","first_seen_at":"2026-06-09T07:00:17.261926+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["exa"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0"]},"facets":{"repo":"NVIDIA/nccl"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0","final_url":"https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0","title":"NVIDIA/nccl nccl-ep-v0.1.0","http_status":200,"content_type":"application/json","capture_method":"exa","fetched_at":"2026-06-10T09:22:48.364+00:00","bytes":9062,"raw_path":"acc0d2e93c55e1bff21c33e529c6fe7a301edae6fc266711b90962e57a7a3519.json","content_hash":"7e4f47594d5f38dd0f80bf091913b0135435e6a1ebe32be7288779323e7768be","excerpt_chars":1200,"truncated":true,"excerpt":"Release: NVIDIA/nccl nccl-ep-v0.1.0 - Repository: NVIDIA/nccl | Optimized primitives for collective multi-GPU communication | 5K stars | C++ - Name: NCCL EP v0.1.0 Release - Author: [@bhramesh-nvidia](https://github.com/bhramesh-nvidia) - Created: 2026-06-08T22:53:52Z - Published: 2026-06-08T22:54:11Z - Reactions: 🎉 3 NCCL EP is a high-performance NCCL API extension for efficient Mixture-of-Experts (MoE) communication. 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EP tensor now supports both dynamic allocation for long-term storage and static on-stack allocation for malloc-free usage on the data path. - Add lightweight and CUDA Graph-compatible EP Handle..."},"evidence_pages":[{"url":"https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0","final_url":"https://github.com/NVIDIA/nccl/releases/tag/nccl-ep-v0.1.0","title":"NVIDIA/nccl nccl-ep-v0.1.0","http_status":200,"content_type":"application/json","capture_method":"exa","fetched_at":"2026-06-10T09:22:48.364+00:00","bytes":9062,"raw_path":"acc0d2e93c55e1bff21c33e529c6fe7a301edae6fc266711b90962e57a7a3519.json","content_hash":"7e4f47594d5f38dd0f80bf091913b0135435e6a1ebe32be7288779323e7768be","excerpt_chars":1200,"truncated":true,"excerpt":"Release: NVIDIA/nccl nccl-ep-v0.1.0 - Repository: NVIDIA/nccl | Optimized primitives for collective multi-GPU communication | 5K stars | C++ - Name: NCCL EP v0.1.0 Release - Author: [@bhramesh-nvidia](https://github.com/bhramesh-nvidia) - Created: 2026-06-08T22:53:52Z - Published: 2026-06-08T22:54:11Z - Reactions: 🎉 3 NCCL EP is a high-performance NCCL API extension for efficient Mixture-of-Experts (MoE) communication. 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