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| R | Python | SAGA[^1] | CUDA | cuBLAS | cuDNN | NCCL | TensorRT[^2] | Linux distro |
|:------|:--------|:---------|:-------|:----------|:----------|:-------|:------------------------|:-------------|
| 4.4.2 | 3.12.7 | 7.3.0 | 12.6.2 | 12.6.3.3 | 8.9.7.29 | 2.23.4 | 10.6.0.26/<br>10.3.0.26 | Ubuntu 22.04 |
| 4.4.1 | 3.12.7 | 7.3.0 | 12.6.2 | 12.6.3.3 | 8.9.7.29 | 2.23.4 | 10.6.0.26/<br>10.3.0.26 | Ubuntu 22.04 |
| 4.4.0 | 3.12.4 | 7.3.0 | 12.5.0 | 12.5.2.13 | 8.9.7.29 | 2.21.5 | 10.0.1.6 | Ubuntu 22.04 |
| 4.3.3 | 3.11.9 | 7.3.0 | 11.8.0 | 11.11.3.6 | 8.9.6.50 | 2.15.5 | 8.5.3[^3] | Ubuntu 22.04 |
| 4.3.2 | 3.11.8 | 7.3.0 | 11.8.0 | 11.11.3.6 | 8.9.6.50 | 2.15.5 | 8.5.3[^3] | Ubuntu 22.04 |
| 4.3.1 | 3.11.6 | 7.3.0 | 11.8.0 | 11.11.3.6 | 8.9.0.131 | 2.15.5 | 8.5.3[^3] | Ubuntu 22.04 |
| 4.3.0 | 3.11.4 | 7.3.0 | 11.8.0 | 11.11.3.6 | 8.9.0.131 | 2.15.5 | 8.5.3[^3] | Ubuntu 22.04 |
| 4.2.3 | 3.10.11 | n/a | 11.8.0 | 11.11.3.6 | 8.7.0.84 | 2.15.5 | 8.5.3[^3] | Ubuntu 22.04 |
| 4.2.2 | 3.10.10 | n/a | 11.8.0 | 11.11.3.6 | 8.7.0.84 | 2.16.2 | 8.5.3 | Ubuntu 20.04 |
[^2]: amd64/arm64
[^3]: `amd64` only
## PyTorch/TensorFlow compatibility
| Python | CUDA | PyTorch[^4] | TensorFlow[^5] |
|:-------|:-----|:---------------|:----------------------|
| 3.12 | 12.6 | version ≥ 2.2 | version ≥ 2.16 |
| 3.12 | 12.5 | version ≥ 2.2 | version ≥ 2.16 |
| 3.11 | 11.8 | version ≥ 2.0 | 2.15 ≥ version > 2.12 |
| 3.10 | 11.8 | version ≥ 1.12 | 2.15 ≥ version > 2.8 |
[^4]: Installs its own CUDA binaries
[^5]: The expected TensorRT version is symlinked to the installed TensorRT
version.
❗️ This relies on backwards compatibility of TensorRT, which may not always be
given.
## Recommended NVIDIA driver (Regular)
| CUDA | Linux driver version | Windows driver version[^6] |
|:-------|:---------------------|:---------------------------|
| 12.5.0 | ≥ 555.42.02 | ≥ 555.85 |
| 11.8.0 | ≥ 520.61.05 | ≥ 520.06 |
[^6]: [GPU support in Docker Desktop | Docker Docs](https://docs.docker.com/desktop/gpu/)
[Nvidia GPU Support for Windows · Issue #19005 · containers/podman](https://github.com/containers/podman/issues/19005)
## Supported NVIDIA drivers (LTSB)
Only works with
[NVIDIA Data Center GPUs](https://resources.nvidia.com/l/en-us-gpu) or
[select NGC-Ready NVIDIA RTX boards](https://docs.nvidia.com/certification-programs/ngc-ready-systems/index.html).
| CUDA | Driver version 535[^7] | Driver version 470[^8] |
|:-------|:----------------------:|:----------------------:|
🔵: Supported due to the CUDA forward compat package
🟢: Supported due to minor-version compatibility
🟡: Supported due to backward compatibility
[^7]: EOL: June 2026
[^8]: EOL: July 2024