Releases: Syraxius/TensorflowDockerBuilder
Releases · Syraxius/TensorflowDockerBuilder
TensorFlow 2.21.0 for RTX 50 / Blackwell sm_120 GPUs
Unofficial TensorFlow 2.21.0 Linux x86_64 wheels built for NVIDIA Blackwell RTX GPUs with CUDA compute capability 12.0.
These wheels include native sm_120 CUDA kernels plus compute_120 PTX fallback, targeting RTX 50-series and RTX PRO Blackwell GPUs such as the GeForce RTX 5090.
Artifacts
tensorflow-2.21.0+selfbuild-cp310-cp310-linux_x86_64.whltensorflow-2.21.0+selfbuild-cp311-cp311-linux_x86_64.whltensorflow-2.21.0+selfbuild-cp312-cp312-linux_x86_64.whltensorflow-2.21.0+selfbuild-cp313-cp313-linux_x86_64.whl
Build Details
- TensorFlow:
v2.21.0 - CUDA/cuDNN: CUDA
12.8.1, cuDNN9.8.0 - CUDA architecture flags:
sm_120,compute_120 - Bazel CUDA config:
cuda_nvcc - Platform: Linux x86_64
- Python: 3.10, 3.11, 3.12, 3.13
Install
python -m pip install --upgrade pip
python -m pip install './tensorflow-2.21.0+selfbuild-cp312-cp312-linux_x86_64.whl[and-cuda]'Use the wheel matching your Python version.
Verify
python - <<'PY'
import json
import tensorflow as tf
print(tf.__version__)
print(json.dumps(tf.sysconfig.get_build_info(), indent=2, sort_keys=True))
print(tf.config.list_physical_devices("GPU"))
PYExpected highlights:
- TensorFlow version:
2.21.0+selfbuild - CUDA compute capabilities include
sm_120andcompute_120 - Your Blackwell RTX GPU appears in TensorFlow's GPU device list
Notes
This is an unofficial downstream TensorFlow build, not an official TensorFlow release.
A recent NVIDIA 570-series or newer driver is recommended for CUDA 12.8 / RTX 50-series systems.
Based on NVIDIA’s CUDA GPU compute capability table, sm_120 / compute capability 12.0 covers these names:
- GeForce RTX 5090
- GeForce RTX 5080
- GeForce RTX 5070 Ti
- GeForce RTX 5070
- GeForce RTX 5060 Ti
- GeForce RTX 5060
- GeForce RTX 5050
- NVIDIA RTX PRO 6000 Blackwell Server Edition
- NVIDIA RTX PRO 4500 Blackwell Server Edition
- NVIDIA RTX PRO 6000 Blackwell Workstation Edition
- NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
- NVIDIA RTX PRO 5000 Blackwell
- NVIDIA RTX PRO 4500 Blackwell
- NVIDIA RTX PRO 4000 Blackwell
- NVIDIA RTX PRO 4000 Blackwell SFF Edition
- NVIDIA RTX PRO 2000 Blackwell