New KV cache compaction technique cuts LLM memory 50x without accuracy loss

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...
Eater

This Seafood-Friendly French Bistro Offers a Seriously Affordable Prix Fixe Menu

Dianne de Guzman is the regional editor for Eater’s Northern California/Pacific Northwest sites, writing about restaurant and bar trends, upcoming openings, and pop-ups for the San Francisco Bay Area, ...

Nvidia BlueField-4 STX adds a context memory layer to storage to close the agentic AI throughput gap

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 ...
Yahoo Finance

Super Micro Computer Targets Scalable AI Growth With Modular Data Center Push

Find winning stocks in any market cycle. Join 7 million investors using Simply Wall St's investing ideas for FREE. Super Micro Computer (NasdaqGS:SMCI) has partnered with SK Telecom and Schneider ...
Santa Clara University

Ph.D. in Computer Science and Engineering

The Doctor of Philosophy (Ph.D.) degree is conferred by the School of Engineering primarily in recognition of competence in the subject field and the ability to investigate engineering problems ...
IEEE

An Efficient Racetrack Cache Architecture for Performance-Area-Energy Co-Optimization

Abstract: Prior RTM cache architectures, originally designed for smaller caches, become suboptimal when scaled to larger RTM Last-Level caches (LLCs), because they prioritize performance over energy ...
IEEE

A Reconfigurable 16KB Cache Architecture for Direct-Mapped and Set-Associative Designs

Abstract: A reconfigurable $\mathbf{1 6 K B}$ cache memory system is designed using Verilog Hardware Description Language to support multiple cache mapping techniques, including direct-mapped and ...