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 ...

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

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 ...

Crusoe, the industry’s first vertically integrated AI infrastructure provider, is announcing its acquisition of Atero, the company specializing in GPU management and memory optimization for AI ...

GSI Gemini-I APU reduces constant data shuffling between the processor and memory systems Completes retrieval tasks up to 80% faster than comparable CPUs GSI Gemini-II APU will deliver ten times ...

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, ...

Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...