CUDA Toolkit 11.2
eol- Released
- 2020-12 (approximate — not independently confirmed from a single authoritative source)
- Minimum driver — Linux
- 460.27.03
- Minimum driver — Windows
- 460.82
- Supported GPU architectures
- Compute capability (sm_XX)
- Commercial GPU names
- Compatible cuDNN
WSL2 & Docker
WSL2: this version's own driver minimum above (Linux 460.27.03 / Windows 460.82) is below the R495 driver branch NVIDIA's CUDA-on-WSL2 guide requires for GPU support under WSL2 (docs.nvidia.com/cuda/wsl-user-guide) -- meeting the minimum in this entry is not enough to get this CUDA version working inside WSL2; install a Windows driver from the R495 branch or later instead, and never install a separate Linux driver inside WSL2 itself (the Windows driver is exposed into WSL2 automatically). Docker: a host driver >= the Linux minimum above plus the NVIDIA Container Toolkit is sufficient to run this CUDA version in a container -- no extra Docker-specific driver floor beyond that number.
Architecture support corrected 2026-09 against NVIDIA's archived release notes (10.2, 11.0, 12.0, 13.0): Kepler sm_30/sm_32 were dropped in CUDA 11.0 (deprecated since 10.2), Kepler sm_35/sm_37 were removed in 12.0, and Maxwell/Pascal/Volta were removed in 13.0 (still supported, as deprecated, throughout 12.x). Verified 2026-08 against NVIDIA's CUDA Toolkit release notes (Table 3) for the 11.2.0 GA driver minimums; later 11.2.x update releases (11.2.1/11.2.2) raised the minimums slightly (Linux 460.32.03; Windows 461.09/461.33) but this entry tracks the GA baseline, matching this site's minor-version granularity elsewhere. Added to fix dead cross-links from the tensorflow collection (2.6.0 through 2.11.0 all pin CUDA 11.2). Architecture/compute-capability list is inferred from the 11.6 entry (same Maxwell-through-Ampere range; Ada Lovelace/Hopper weren't introduced until 11.8/12.0), not independently re-verified against NVIDIA's per-version architecture matrix for 11.2 specifically.