While conventionally, vector processing was reserved for powerful supercomputers of the world, the current advancements in vector processors have made it accessible for developing less expensive and smaller supercomputers for AI and ML tasks. Not only it helps in developing supercomputers leveraging less computing power, but also empties the scalar processors for even critical workloads, making it a preferred choice for computing engines.

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Can NEC Compete With NVIDIA To Build AI Supercomputers?
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