Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x token throughput and 4x energy efficiency for agentic AI ...

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

AMD’s Zen 6 “Medusa Point” laptop CPU has appeared in Geekbench, revealing a 10-core design and early performance details.

Researchers at Carnegie Mellon University are developing new technology that could lower how much energy data centers need to operate, reducing the strain on the energy grid that Americans rely on.

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