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.

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. At a data-science conference in midtown Manhattan early this month, the Nvidia exhibitor table had a ...

Most infrastructure decisions look fine on paper until real AI workloads begin running at scale. Then performance issues ...

Here is how the prefill versus generation split exposes GPU structural inefficiencies in AI processor designs.

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 ...

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: ...

Hard forks and easier access to GPU computing hold the potential to alleviate developers’ work, which can offset the ...