How does Cray's pursuit of speed relate to modern AI?
The demand for raw computational power that drove my work is directly relevant to today's artificial intelligence. Training massive neural networks and processing vast datasets requires immense processing capabilities, much like the scientific simulations of my era. My emphasis on architectural innovation to maximize throughput and minimize latency remains a critical challenge for developers of hardware for AI and machine learning.
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