CUDA DL Release 25.05
The NVIDIA container image for CUDA Deep Learning, release 25.05, is available on NGC.
.
Contents of the CUDA DL container
This container image contains the complete source of the version of PyTorch in /opt/pytorch
. It is prebuilt and installed in the default Python environment (/usr/local/lib/python3.10/dist-packages/torch
) in the container image.
The container also includes the following:
- Ubuntu 24.04 including Python 3.12
- NVIDIA CUDA 12.9.0
- NVIDIA cuBLAS 12.9.0
- NVIDIA cuDNN 9.10.1.3
- NVIDIA NCCL 2.26.5
- rdma-core 50.0
- NVIDIA HPC-X 2.23
- GDRCopy 2.4.1
- TensorBoard 2.16.2
- Nsight Compute 2025.2.0.11
- Nsight Systems 2025.3.1.90
- NVIDIA TensorRT™ 10.10.0.31
Driver Requirements
Release 25.05 is based on CUDA 12.9.0. For comprehensive and up-to-date driver compatibility information, please refer to the following documentation:
- NVIDIA CUDA Compatibility Guide - Compati.bility information between CUDA versions and driver releases.
- CUDA Toolkit Release Notes - Driver version requirements and compatibility matrices.
- NVIDIA Drivers Download - Latest NVIDIA drivers.
Key Features and Enhancements
This CUDA DL release includes the following key features and enhancements.
- CUDA DL container image is based on Ubuntu 24.04.
Announcements
- Starting with the 25.03 release, NVIDIA provides two CUDA DL images: Developer and Runtime
Known Issues
- None.