Tensormesh and AMD Collaborate to Empower Fewer GPUs to Serve More Models

Tensormesh, the company pioneering caching-accelerated inference optimization for enterprise AI, today announced a collaboration with AMD through which Tensormesh KV cache solution and AMD virtual ...
EDN

SoC design: When a network-on-chip meets cache coherency

Many people have heard the term cache coherency without fully understanding the considerations in the context of system-on-chip (SoC) devices, especially those using a network-on-chip (NoC). To ...
Semiconductor Engineering

Redesigning Core and Cache Hierarchy For A General-Purpose Monolithic 3D System

A technical paper titled “RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory” was published by researchers at ETH Zürich, KMUTNB, ...

Inference needs memory: how context is becoming AI infrastructure

As enterprise AI becomes more complex, AI architectures can no longer treat context as temporary.
ExtremeTech

New cache organization scheme could dramatically improve performance, power consumption

A new proposal could boost cache efficiency and performance significantly, at the very time we need it most. Will CPU designers bite? Share on Facebook (opens in a new window) Share on X (opens in a ...