Скачать или смотреть Easily Scale AI/ML Workloads with VMware vSphere

VMware vSphere gives you an easy way to increase training performance by scaling AI/ML workloads across multiple GPUs and servers. This demo shows an image-classification training job being executed on multiple GPUs and nodes by using Tanzu in VMware vSphere. The GPU and MPI operators are used in a custom container to easily standardize and replicate the training job across the data center.

Learn how to scale AI/ML in the hands-on lab Multi-Node Training for AI on Kubernetes https://www.nvidia.com/en-us/launchpa...

IT admins can learn how to build this environment in the lab Optimize AI and Data Science Workloads https://www.nvidia.com/en-us/launchpa...

Enterprises can also build and take AI/ML solutions to production with NVIDIA AI Enterprise.
https://www.nvidia.com/en-us/data-cen...