https://store-images.s-microsoft.com/image/apps.31367.78b86004-a0f5-4416-aa07-4ffef4108cae.e393c784-aa04-4c61-944a-2fec9a3e99b5.5a7a00a9-dbdd-4ef4-9e18-1de80b896b67
NVIDIA GPU-Optimized VMI with vGPU driver
NVIDIA Corporation
NVIDIA GPU-Optimized VMI with vGPU driver
NVIDIA Corporation
NVIDIA GPU-Optimized VMI with vGPU driver
NVIDIA Corporation
Maximize GPU performance for your Deep Learning, Machine Learning & HPC applications with this image
Deploy a NVadsA10 v5-series Azure VM instance certified by NVIDIA for maximum performance on NVIDIA GPUs, and easy access to NVIDIA NGC with this image.
NVIDIA NGC is the hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (HPC). NGC provides free access to performance validated containers, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building solutions, gathering insights, and delivering business value. The NVIDIA Deep Learning containers such as TensorFlow, PyTorch, NVIDIA Deep Learning Toolkit Powered by MXNet, NVCaffe, Kaldi are tested, optimized and certified by NVIDIA to take full advantage of NVIDIA A100, V100 and T4 GPUs for maximum performance at scale.
By combining maximum possible performance on NVIDIA GPUs with quick and easy access to any asset on NGC, this VM image helps fast track your end-to-end AI deployment and development process.
Containers from NGC require this image and supported Azure instances are the NCv2, NCv3, and ND series.
NVIDIA GPU-Optimized AMI includes:
For information on documentation and release notes please check NVIDIA GPU-Optimized VMI documentation
NVIDIA NGC is the hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (HPC). NGC provides free access to performance validated containers, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building solutions, gathering insights, and delivering business value. The NVIDIA Deep Learning containers such as TensorFlow, PyTorch, NVIDIA Deep Learning Toolkit Powered by MXNet, NVCaffe, Kaldi are tested, optimized and certified by NVIDIA to take full advantage of NVIDIA A100, V100 and T4 GPUs for maximum performance at scale.
By combining maximum possible performance on NVIDIA GPUs with quick and easy access to any asset on NGC, this VM image helps fast track your end-to-end AI deployment and development process.
Containers from NGC require this image and supported Azure instances are the NCv2, NCv3, and ND series.
NVIDIA GPU-Optimized AMI includes:
- Ubuntu Server 22.04
- NVIDIA GRID Driver
- Docker-ce
- NVIDIA Container Toolkit
- Azure CLI, NGC CLI
- Miniconda, JupyterLab, Git
For information on documentation and release notes please check NVIDIA GPU-Optimized VMI documentation