Installing Fabric Manager and the NVSwitch Configuration and Query library.Installing the user-space drivers and the driver libraries.Building your own kernel modules using the NVIDIA DKMS package.Installing the pre-compiled NVIDIA modules for your kernel.Installing the drivers on servers and/or for computing purposes.Installing the drivers for generic use (e.g.

Check the available drivers for your hardware.The recommended way (ubuntu-drivers tool).The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions. This VMI provides easy access to NVIDIA’s NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. Using this VMI, you can spin up a GPU-accelerated Compute Engine VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit.

The NVIDIA AI Enterprise On-Demand VMI is a virtual machine image for accelerating your Machine Learning, Deep Learning, Data Science and HPC workloads. Further information on NVIDIA AI Workflows can be found in the general NVIDIA AI Enterprise Documentation. To avoid these additional steps, the Cloud Native Stack VMI can also be used but is not currently supported under NVIDIA AI Enterprise. Further details around installing CNS can be found in the CNS Playbook. Instructions for installing the Cloud Native Stack on the Enterprise VMI via an ansible playbook can be found in the NVIDIA AI Workflows Deployment Guides. In order to run NVIDIA AI Workflows, The NVIDIA Cloud Native Stack must be installed on the Enterprise VMI.

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