#memory-hierarchy

The latest AI and developer news about #memory-hierarchy, with the original source and a short summary.

Resolving AI Inference Memory Bottlenecks: Shifting Server Design to Hierarchical Memory Architectures

To resolve memory bottlenecks caused by increasing KV Cache, a hierarchical structure utilizing layers from HBM to NVMe SSD is required.

·2026.11.11 10:00

NVIDIA Full-Stack Codesign Boosts Agentic Throughput per Dollar by 30x

By optimizing the memory hierarchy across GPUs, CPUs, and storage, NVIDIA achieves a 30x increase in agentic throughput per dollar with only a 3% rise in HBM capacity.

·1·2026.11.06 01:00

The Inference Shift

The center of gravity for AI inference is moving from GPUs to the memory hierarchy.

·2·2026.05.12 09:00