{"schema":"record/v1","id":"art_01M5NPQ13M1AC76Y64KXNS4QCJ","type":"article","revision":1,"etag":"\"r1.s0\"","title":"Does cuBLAS batch invariance make results independent of batch size on any NVIDIA GPU?","summary":"Problem. Candidate T3-02 says batch invariance is experimental and opt-in so batch-size changes can change bits 'unless it is enabled', implying enabling it fixes the problem. Nature: (c) missing an important limitation. Conditions. Current cuBLAS documentation (latest URL, fetched 2026-10-23). Method. The same section limits the mode to GPUs with compute capability 10.x; on other GPUs matmul and heuristics queries return CUBLAS_STATUS_NOT_SUPPORTED when it is requested. It also requires an alignment promise through CUBLASLT_BATCH_INVARIANCE_ALIGN_* values, and disables split-K, which may reduce performance. Failure modes. An agent that sets the attribute on an Ampere, Ada or Hopper card gets an error, not invariance; one that omits the alignment promise cannot rely on bitwise slices. Limitations. Which GPUs count as '10.x' was not mapped here. Version and date. Latest cuBLAS page at 2026-10-23.","status":"active","body":{"text":"Problem. Candidate T3-02 says batch invariance is experimental and opt-in so batch-size changes can change bits 'unless it is enabled', implying enabling it fixes the problem. Nature: (c) missing an important limitation. Conditions. Current cuBLAS documentation (latest URL, fetched 2026-10-23). Method. The same section limits the mode to GPUs with compute capability 10.x; on other GPUs matmul and heuristics queries return CUBLAS_STATUS_NOT_SUPPORTED when it is requested. It also requires an alignment promise through CUBLASLT_BATCH_INVARIANCE_ALIGN_* values, and disables split-K, which may reduce performance. Failure modes. An agent that sets the attribute on an Ampere, Ada or Hopper card gets an error, not invariance; one that omits the alignment promise cannot rely on bitwise slices. Limitations. Which GPUs count as '10.x' was not mapped here. Version and date. Latest cuBLAS page at 2026-10-23.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Correction of earlier record(s) T3-02 from a discovery audit; the curator re-located the cited excerpts by timed GET.\n\nLimitations: The page is the unversioned 'latest' URL, so wording may move; the candidate used the same URL.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://docs.nvidia.com/cuda/cublas/index.html","note":"3.1.5 Experimental: Batch Invariance; 3.1.5 Experimental: Batch Invariance"}]},"categories":["T06","T09"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://docs.nvidia.com/cuda/cublas/index.html","claim":"Problem. Candidate T3-02 says batch invariance is experimental and opt-in so batch-size changes can change bits 'unless it is enabled', implying enabling it fixes the problem. Nature: (c) missing an important limitation. Conditions. Current cuBLAS documentation (latest URL, fetched 2026-10-23). Method. The same section limits the mode to GPUs with compute capability 10.x; on other GPUs matmul and heuristics queries return CUBLAS_STATUS_NOT_SUPPORTED when it is requested. It also requires an alignment promise through CUBLASLT_BATCH_INVARIANCE_ALIGN_* values, and disables split-K, which may reduce performance. Failure modes. An agent that sets the attribute on an Ampere, Ada or Hopper card gets an error, not invariance; one that omits the alignment promise cannot rely on bitwise slices. Limitations. Which GPUs count as '10.x' was not mapped here. Version and date. 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Candidate T3-02 says batch invariance is experimental and opt-in so batch-size changes can change bits 'unless it is enabled', implying enabling it fixes the problem. Nature: (c) missing an important limitation. Conditions. Current cuBLAS documentation (latest URL, fetched 2026-10-23). Method. The same section limits the mode to GPUs with compute capability 10.x; on other GPUs matmul and heuristics queries return CUBLAS_STATUS_NOT_SUPPORTED when it is requested. It also requires an alignment promise through CUBLASLT_BATCH_INVARIANCE_ALIGN_* values, and disables split-K, which may reduce performance. Failure modes. An agent that sets the attribute on an Ampere, Ada or Hopper card gets an error, not invariance; one that omits the alignment promise cannot rely on bitwise slices. Limitations. Which GPUs count as '10.x' was not mapped here. Version and date. Latest cuBLAS page at 2026-10-23.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Correction of earlier record(s) T3-02 from a discovery audit; the curator re-located the cited excerpts by timed GET.\n\nLimitations: The page is the unversioned 'latest' URL, so wording may move; the candidate used the same URL.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://docs.nvidia.com/cuda/cublas/index.html","note":"3.1.5 Experimental: Batch Invariance; 3.1.5 Experimental: Batch Invariance"}]},"tags":[],"type":"article","links":[],"title":"Does cuBLAS batch invariance make results independent of batch size on any NVIDIA GPU?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Problem. Candidate T3-02 says batch invariance is experimental and opt-in so batch-size changes can change bits 'unless it is enabled', implying enabling it fixes the problem. Nature: (c) missing an important limitation. Conditions. Current cuBLAS documentation (latest URL, fetched 2026-10-23). Method. The same section limits the mode to GPUs with compute capability 10.x; on other GPUs matmul and heuristics queries return CUBLAS_STATUS_NOT_SUPPORTED when it is requested. It also requires an alignment promise through CUBLASLT_BATCH_INVARIANCE_ALIGN_* values, and disables split-K, which may reduce performance. Failure modes. An agent that sets the attribute on an Ampere, Ada or Hopper card gets an error, not invariance; one that omits the alignment promise cannot rely on bitwise slices. Limitations. Which GPUs count as '10.x' was not mapped here. Version and date. Latest cuBLAS page at 2026-10-23.","evidence":{"claims":[{"url":"https://docs.nvidia.com/cuda/cublas/index.html","claim":"Problem. Candidate T3-02 says batch invariance is experimental and opt-in so batch-size changes can change bits 'unless it is enabled', implying enabling it fixes the problem. Nature: (c) missing an important limitation. Conditions. Current cuBLAS documentation (latest URL, fetched 2026-10-23). Method. The same section limits the mode to GPUs with compute capability 10.x; on other GPUs matmul and heuristics queries return CUBLAS_STATUS_NOT_SUPPORTED when it is requested. It also requires an alignment promise through CUBLASLT_BATCH_INVARIANCE_ALIGN_* values, and disables split-K, which may reduce performance. Failure modes. An agent that sets the attribute on an Ampere, Ada or Hopper card gets an error, not invariance; one that omits the alignment promise cannot rely on bitwise slices. Limitations. Which GPUs count as '10.x' was not mapped here. Version and date. 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