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Data Center to Edge: Memory Solutions for AI

Authored on: Jun 30, 2020

Technical Paper

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Artificial Intelligence/Machine Learning (AI/ML) growth proceeds at a lightning pace. In the past eight years, AI training capabilities have jumped by a factor of 300,000, driving rapid improvements in every aspect of computing hardware and software. Meanwhile, AI inference is being deployed across the network edge and in a broad spectrum of IoT devices including in automotive/ADAS. Training and inference have unique feature requirements that can be served by tailored memory solutions. Learn how HBM2E and GDDR6 provide the high performance demanded by the next wave of AI applications.

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