{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Release: NVIDIA/cuEquivariance v0.11.0-rc3","description":"NVIDIA release signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/3d7dbc63-9247-415b-9be7-f908cf9fbbd7","json_url":"https://onlylabs.fyi/signals/3d7dbc63-9247-415b-9be7-f908cf9fbbd7/signal.json","generated_at":"2026-07-27T10:28:35.547Z","evidence_latest_fetched_at":"2026-07-27T07:01:48.133404+00:00","signal_first_seen_at":"2026-07-27T07:00:42.879164+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/3d7dbc63-9247-415b-9be7-f908cf9fbbd7","signal_json":"https://onlylabs.fyi/signals/3d7dbc63-9247-415b-9be7-f908cf9fbbd7/signal.json","source":"https://github.com/NVIDIA/cuEquivariance/releases/tag/v0.11.0-rc3","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/cuEquivariance v0.11.0-rc3 (NVIDIA/cuEquivariance). 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This release signal is evidence of what shipped, changed, or was packaged for users. 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Providing per-row key/value lengths routes variable-length (right-padded) inputs to the optimized fused attention kernel on Blackwell (SM100f), instead of the dense-mask path. kv_lengths and mask are mutually exclusive. Dense boolean masks are still supported; when a dense mask forces execution off the fast path, a warning is now emitted so callers can switch to kv_lengths for best performance. Attention Pair Bias New fused attention-with-pair-bias primitive with an optimized Blackwell (SM100f) implementation. Kernel / performance improvements Continued improvements to the Blackwell (SM100 / SM103) fused-attention kernels. 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