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Why future AI data centers need to be open and heterogeneous

Hewlett Packard Enterprise


Why future AI data centers need to be open and heterogeneous AI is evolving to be more than just a workload. As initiatives transition from training to inferencing, from generative AI to agentic AI, AI will increasingly operate as a service and run across distributed environments, like the edge, cloud, and sovereign systems. Future AI systems will also be heterogenous. Instead of being dominated by one architecture or platform, different workloads with different needs will require a diverse mix of accelerators, processors, and infrastructure. Yet with the next era of AI comes a new set of I...

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