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 ...
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 ...

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 ...
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, ...