Posts tagged Kubernetes

Announcing the AMD GPU Operator and Metrics Exporter

As AI workloads continue to grow in complexity and scale, we’ve consistently heard one thing from our customers: “Managing GPU infrastructure shouldn’t be the hard part”. For many, this is where Kubernetes comes into play. Kubernetes allows customers to easily manage and deploy their AI workloads at scale by providing a robust platform for automating deployment, scaling, and operations of application containers across clusters of hosts. It ensures that your applications run consistently and reliably, regardless of the underlying infrastructure. A pod is the smallest and simplest Kubernetes object. It represents a single instance of a running process in your cluster and can contain one or more containers. Pods are used to host your application workloads and are managed by Kubernetes to ensure they run as expected. Having pods be able to leverage GPUs on your cluster, however, is not something that is trivial.

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