[Related: Nvidia ... the power one-twentieth from what it previously was. The eight A100s, combined, provide 320 GB in total GPU memory and 12.4 TB per second in bandwidth while the DGX A100's ...

citing Nvidia's claim that its DGX A100 can perform the same level of training and inference work as 50 DGX-1 and 600 CPU systems at a tenth of the cost and a twentieth of the power.

Mark Zuckerberg says that Meta is training its Llama-4 models on a cluster with over 100,000 Nvidia H100 AI GPUs.

Perhaps the most important consideration to make when designing a battery-operated device of any kind is the power consumption. Keeping it running for longer between battery changes is often a key ...

Meta CEO Mark Zuckerberg provides an update on its new Llama 4 model: trained on a cluster of NVIDIA H100 AI GPUs 'bigger ...

The International Energy Agency (IEA) projects global electricity consumption from data centers and AI will double from 460 ...

Sales growth forecasts of 30% for AI chips and 20% for advanced packaging indicate that demand is in the early innings, and ...

Zuckerberg said Meta's Llama 4 models are training on an H100 cluster "bigger than anything that I've seen reported for what others are doing." ...

NVIDIA has recently released their lineup of 40-series graphics cards, with a novel generation of power connectors called 12VHPWR. See, the previous-generation 8-pin connectors were no longer ...

He cited Nvidia’s partnership with Vertiv, a leading provider of power and cooling infrastructure equipment, in creating effective cooling solutions for customers. Barron's Topics ...

The earnings avalanche has commenced. In the spirit of this, here are a couple of convos I had this week that may leave you thinking (hopefully). AI meets extra spicy hot sauce: I was at a CEO ...