Running AI models is turning into a memory game

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs -- but memory is an increasingly ...

Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...

Intel's rumoured 'bLLC' Nova Lake CPUs will allegedly be 36% bigger thanks to all that gaming-friendly cache memory

Intel's bLLC chips to take on AMD's X3D CPUs.
The Next Platform

Skimpy HBM Memory Opens Up The Way For AI Inference Memory Godbox

Generative AI is arguably the most complex application that humankind has ever created, and the math behind it is incredibly complex even if the results are simple enough to understand. GenAI also it ...

Cache is king and DIMMS are bling as memory prices soar

Upgraders and home lab builders flaunt their memory-inflated wealth The rising price of memory has produced an interesting ...
InfoWorld

How to use HybridCache in ASP.NET Core

HybridCache is a new API in .NET 9 that brings additional features, benefits, and ease to caching in ASP.NET Core. Here’s how to take advantage of it. Caching is a proven strategy for improving ...
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 ...