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The cuBLAS workspace is a GPU memory region reserved by cuBLAS for temporary results or internal algorithms, whose size is determined by the CUBLAS_WORKSPACE_CONFIG environment variable or the library's default policy, and which is usually allocated only on the first call to the relevant kernel; it is not a user tensor but is counted in the memory pool managed by PyTorch's caching allocator.

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10/18/2026
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