CUDA DL Release 26.01

The NVIDIA container image for CUDA Deep Learning is available on NGC.

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Contents of the CUDA DL container

The container includes the following (not a complete list):

• Ubuntu 24.04 including Python 3.12
• NVIDIA CUDA 13.1.1.006
• NVIDIA cuBLAS 13.2.1.1
• NVIDIA cuDNN 9.17.1.4
• NVIDIA NCCL 2.29.2
• rdma-core 56.0
• NVIDIA HPC-X 2.25.1
• OpenUCX 1.20.0
• NVIDIA GDRCopy 2.5.1
• NVIDIA DOCA 3.1.0
• AWS OFI NCCL 1.17.0
• TensorBoard 2.16.2
• Nsight Compute 2025.4.12
• Nsight Systems 2025.6.1.190
• NVIDIA TensorRT™ 10.14.1.48

Driver Requirements

Release 26.01 is based on CUDA 13.1.1. 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 in with the 26.01 release, the CUDA DL Base container is available in four variants optimized for both training and inference use cases

  • Introducing inference-runtime and inference-devel container variants, providing size reduction compared to full development images through stub library optimization for CUSPARSE, CUSOLVER, CUFFT, and NVJITLINK.

• Starting with 25.08 release, CUDA DL Image will be on CUDA 13.0
• Starting with the 25.03 release, NVIDIA provides two CUDA DL images: Developer and Runtime

Known Issues

• Certain distributed jobs may encounter UCX errors involving MLX5, in which case we recommend the use of the environment variable as a workaround: UCX_DC_MLX5_AR_ENABLE=n.