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 ...
Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...
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, ...
Belgian research lab Imec has revealed 3D stacked memory-on-GPU AI processor thermal data at IEDM (IEEE International Electron Devices Meeting) this week. The data comes from a thermal STCO ...
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