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Description
We added a new nightly python package feed for CUDA 13.x. See Installation section below.
Python 3.14
Nightly packages now support python 3.14:
| Device | OS | cp314 | cp314t |
|---|---|---|---|
| CUDA 13.x | Linux x64 | Available | Available |
| CUDA 13.x | Windows | Available | None |
| CUDA 12.x | Linux x64 | Available | Available |
| CUDA 12.x | Windows | Available | None |
| CPU | Linux x64 | Available | Available |
| CPU | Linux ARM64 | Available | Available |
| CPU | Windows | Available | None |
| Tag | CPython Version & Build | Key Feature |
|---|---|---|
| cp314 | CPython 3.14 (Standard) | Includes the Global Interpreter Lock (GIL). |
| cp314t | CPython 3.14 (Free-Threaded) | Built without the GIL (or with a free-threading alternative). |
Installation
First, you might need uninstall existed packages like
pip uninstall onnxruntime onnxruntime-gpu -y
Then choose only one of the following based on cuda version (or CPU only) to install:
CUDA 13.x
pip install flatbuffers numpy packaging protobuf sympy
pip install --pre --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ort-cuda-13-nightly/pypi/simple/ onnxruntime-gpu
CUDA 12.x
pip install flatbuffers numpy packaging protobuf sympy
pip install --pre --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ onnxruntime-gpu
CPU Only
pip install flatbuffers numpy packaging protobuf sympy
pip install --pre --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ onnxruntime
If you encountered issues, please reply to this issue, or create a new issue and reference this for tracking.
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