NVIDIA CUDA base image. The runtime variant ships the CUDA runtime libraries (cudart, cublas, cufft, curand, cusolver, cusparse, npp); the dev variant adds the nvcc compiler and development headers. Intended as a base image for GPU-accelerated workloads.
1h
50K+
The NVIDIA GPU Operator automates the management of the NVIDIA software components needed to provision GPUs in Kubernetes clusters. This image ships the operator controller, the nvidia-validator, the vectorAdd CUDA validation sample, and kubectl, together with the operand manifests the controller renders at runtime and the operator CRDs.
1h
10K+
3
Partial mirror of nvidia/cuda Docker images for CuPy CI (NOT EXPECTED FOR PUBLIC USE)
3y
3.6K
1
Lightweight MAX essentials. Faster downloads, minimal dependencies. Needs NVIDIA drivers.
40m
100K+
1
Complete MAX stack: CUDA, PyTorch, cuDNN included. Production-ready NVIDIA GenAI deployment.
2d
50K+
3
The NVIDIA Container Toolkit configures container runtimes to run GPU workloads. This image is the GPU Operator's container-toolkit operand: it ships nvidia-ctk-installer together with the pre-extracted toolkit and libnvidia-container payloads it installs onto cluster nodes.
1h
4.1K
3
Base image for Kasm Workspaces with 3D GPU Acceleration for compatible Nvidia based GPUs.
4y
8.9K
2
conda-forge build image for CentOS 7 on x86_64 with CUDA
2y
10K+
2
CUDA and cuDNN images from gitlab.com/nvidia/container-images/cuda
5y
50K+
11
CUDA and cuDNN images from gitlab.com/nvidia/container-images/cuda
5y
50K+
19
Build and compile Ubuntu Touch apps easily from the command line https://clickable-ut.dev/
10d
10K+
conda-forge build image for UBI 8 on x86_64 with CUDA 11.8
1d
10K+
Build and compile Ubuntu Touch apps easily from the command line https://clickable-ut.dev/
10d
10K+