CUDA Toolkit 10.2

eol

Released: 2019 (exact month unverified — sources disagree on whether this refers to the original GA or a later 10.2.89 update)
Minimum driver — Linux: 440.33
Minimum driver — Windows: 441.22
Supported GPU architectures: MaxwellPascalVoltaTuring
Compute capability (sm_XX): sm_50sm_52sm_53sm_60sm_61sm_62sm_70sm_72sm_75
Commercial GPU names: GTX 750 Ti / Tesla M-seriesGTX 900 series / Tesla M60Jetson TX1Tesla P100GTX 10 series / Tesla P40Jetson TX2Tesla V100Jetson AGX XavierRTX 20 series / Tesla T4
Compatible cuDNN: 7.x

Verified 2026-08 against NVIDIA's CUDA Toolkit release notes (Table 3) for driver minimums. Architecture list is best-effort, not exhaustively cross-checked against NVIDIA's own architecture-support matrix for this specific version. Predates Ampere (added in CUDA 11.0). Added to fix a dead cross-link: PyTorch 1.13.0's page listed this version as a supported CUDA build before this entry existed. computeCapabilities added 2026-08, cross-referenced against developer.nvidia.com/cuda-gpus and the CUDA C++ Programming Guide's compute-capabilities appendix; minor SKU-specific steppings (e.g. 8.7 for Jetson Orin, 12.1 for specific Blackwell SKUs) are folded into the primary value shown, matching this site's existing cuDNN '9.x'-style bucketing rather than listing every sub-variant.

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