Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne ...

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 ...

Long input to an LLM can benefit dramatically from the new GPU which has more fast memory and more processing power than ...

NVIDIA has announced the Rubin CPX, a purpose-built GPU for 'disaggregated inference' that targets massive AI workloads, ...

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 ...

Demos Solutions Optimized for NVIDIA and AMD GPUs Highlight Breakthroughs in Inference EfficiencyJoins with Tensormesh to Simplify vLLM ...

Recently, Guangzhou Pinnacle Software Co., Ltd. applied for a patent titled "A Method and System for Optimizing PD Separation of Large Models Based on GPU Virtualization," which is set to be published ...

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, ...

[OPINION/INSIGHT ARTICLE] The surging demand for supercomputing power, driven by the insatiable appetite of AI/ML, big data analytics, and scientific research, has driven the HPC industry to push the ...

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 ...