When considering a large complex system, such as an AI cluster, supercomputer, or compute cluster, you may think you only have two options—build from scratch from the ground up, or buy a pre-configured, supercomputer-in-a-box from a major technology vendor that everyone else is buying. But there is a third option that takes a best-of-both-worlds approach. This gives you “building blocks” expertly designed around network, storage, and compute configurations that are balanced, but also flexible enough to provide scalability for your specific project needs.
The post Solving AI Cluster Design Challenges with a Building Block Approach appeared first on HPCwire.
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