Accelerate with purpose
summary
Three shifts drive the recommendations: models with billions of hyperparameters, massive multi-node clusters, and exploding data volumes that push latency down. Compute demand is claimed as doubling roughly every quarter, forcing purpose-built accelerators optimized for matrix multiplication with a razor focus on compute, communication, and memory. Low-latency, high-bandwidth on-chip and chip-to-chip data movement becomes the bottleneck; the practical rule is bring data closer to compute, and accept heterogenous hardware because no single architecture serves every workload.
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