The Latest News in AI

Cadence’s acquisition of Future Facilities in 2022 opened the door to large data centers, and provides the company with the ability to manage power and cooling just when data centers need help the most as AI surges. Suppose you are running a data center, racks full of...

In these explosive times and stock market surges, let’s look at where we might find the nuggets of new growth. Nvidia will focus on additional growth opportunities in Inference processing, Software, Edge, and Automotive; Nvidia is nowhere near Peak AI. Yes, GTC is a...

As GPU’s become a bigger part of data center spend, the companies that provide the HBM memory needed to make them sing are benefitting tremendously. AI system performance is highly dependent on memory capacity, bandwidth and latency. Consequently, memory technology is...

MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies...

A Digital Twin of your Data Center can help identify and reduce wasted IT infrastructure, even before you build it. Nvidia uses one to plan and operate its AI supercomputers, as eliminating wasted IT has an enormous economic impact and improves reliability and...

While the new H100 GPU shows off its Transformer Engine in MLPerf, Intel advances with Gaudi-2 accelerator, and MosaicML shows A100 results nearly as good as H100 with their software. Every six months, MLCommons orchestrates and publishes on mlcommons.org over one...

It’s impossible to convey the excitement of an NVIDIA CEO Jensen Huang keynote address at GTC, but here’s what caught my eye this week. NVIDIA made a slew of technology and customer announcements at the Fall GTC this year. Highlights included an H100 update, a new...