The associative processing unit wants to displace Nvidia's GPU as the go-to AI powerhouse by putting compute in the memory itself

Compute-in-memory chips like GSI’s APU could reshape AI hardware by blending memory and computation, though scalability ...

Compute-In-Memory APU Achieves GPU-Class AI Performance at a Fraction of the Energy Cost

GPU-class performance – The Gemini-I APU delivered comparable throughput to NVIDIA’s A6000 GPU on RAG workloads. Massive energy advantage – The APU delivers over 98% lower energy consumption than a ...
Semiconductor Engineering

Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers

Harini Muthukrishnan (U of Michigan); David Nellans, Daniel Lustig (NVIDIA); Jeffrey A. Fessler, Thomas Wenisch (U of Michigan). Abstract—”Despite continuing research into inter-GPU communication ...
SiliconANGLE

Nvidia acquires GPU cluster optimization startup Run:ai for reported $700M

Nvidia Corp. today disclosed that it has acquired Run:ai, a startup with software for optimizing the performance of graphics card clusters. The terms of the deal were not disclosed. TechCrunch, citing ...
TweakTown

AMD demonstrates real-time GPU tree generation tech using only 55KB of memory

TL;DR: AMD's new Real-Time GPU Tree Generation technology leverages DirectX 12 GPU Work Graphs to create highly detailed, animated forests using minimal memory. This breakthrough enables efficient, ...
PC World

How to make your graphics card better by adjusting power limits

Is it really possible to make current graphics cards from AMD’s Radeon RX and Nvidia’s GeForce RTX series with just one click? Yes, it’s possible, and quite simple, as I will demonstrate in this ...