Developments in AI research continue to raise questions about the design and features of the data centers required to deliver AI-based services at scale.
AI is not a uniform workload, and the infrastructure required to deliver AI will be far from uniform. At least three approaches to server hardware for AI have emerged to support different model types at various stages of their life cycle — with often contrasting data center requirements.
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