Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom. Increased ...

The team received the Test of Time Award for their paper, GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server. The paper addresses the challenges of scaling deep ...

Apple’s recently announced M3 and A17 Pro chips feature several significant improvements to parallel processing, which results in major performance gains for apps and games that utilize the Metal API.

Despite Apple Silicon currently working solely with its own on-board GPU cores, Apple is researching how to support more options, like PCI-E GPUs, all working in tandem. One thing Intel Macs had that ...

At AI EXPO KOREA 2026, KAYTUS officially launched its All-QLC Flash Storage Solution, engineered to deliver high performance, ...

Forbes contributors publish independent expert analyses and insights. A recent post on Reddit in the mlscaling sub reads a little bit like a spy novel in looking at where we’re going to get new ...

For years, graphic processing units (GPUs) have powered some of the world's most demanding experiences—from gaming and 3D rendering to AI model training. But one domain remained largely untouched: ...

The GPU server market is poised for strong growth, driven by AI and ML adoption. Key opportunities lie in expanding high-performance computing capabilities, AI-centric investments, and deploying ...