NVIDIA Breaks Through AI Memory Bottlenecks: With HBM Capacity Rising by Only About 3%, Per-Dollar Agent Throughput Increases Up to 30-Fold
NVIDIA has unveiled its full-stack collaborative design approach. Leveraging hierarchical memory architecture, NVFP4 quantization, and layered KV cache offloading, the company achieves up to a 30-fold increase in per-dollar throughput for agent inference while HBM capacity grows only slightly.
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