The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

NVIDIA Omniverse: The Useful Metaverse

Omniverse is not a toy; it enables digital twins of the real world as it exists, or as it will become. A few weeks ago I read an article on another media platform that asserted the need for the metaverse to embrace users beyond the creative teams of game developers...

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NVIDIA Runs The Mlperf Table

When the mlperf (machine learning performance) organization released the first standardized AI training benchmarks, which NVIDIA dominated last December, we were somewhat disappointed that only a few companies, namely NVIDIA, Google and Intel, were able to muster the...

Who Has The Fastest AI Inference, And Why Does It Matter?

A food fight erupted at the AI HW Summit earlier this year, where three companies all claimed to offer the fastest AI processing. All were faster than GPUs. Now Cerebras has claimed insanely fast AI performance with their latest software running on the company’s...

Does NVIDIA Selene Form A Wider Moat Than CUDA?

The annual International Supercomputer Conference (ISC), held virtually this year, kicked off today. Not surprisingly, NVIDIA has already made a few announcements of note. Especially of interest to me was the announcement of Selene, NVIDIA’s in-house 1+ Exaflop AI...

AI Training: “I’m Not Dead Yet!”

With so much focus on inference processing, it is easy to overlook the AI training market, which continues to drive gigawatts of AI computing capacity. The latest benchmarks show that the training of AI models, an immense investment in power and compute, continues to...

MLPerf Shows AMD Catching Up With Nvidia’s Older H200 GPU

As you AI pros know, the 125-member MLCommons organization alternates training and inference benchmarks every three months. This time around, its all about training, which remains the largest AI hardware market, although not by much as inference drives more growth as...

Nvidia Ups Its Robotics Game With Blackwell-Based Jetson Thor

Nvidia focuses on maximum performance and efficiency. We’ve all heard the predictions: the Next Big Thing will be “Physical AI” (Nvidia) or “Embodied AI” (Qualcomm). Jensen Huang has predicted that in a decade, there will be more robots than humans on Earth. These...

The Raging Debate: When Will Quantum Arrive?

There has been considerable discussion and stock price volatility of late surrounding the expected timing of useful applications and hardware for quantum computing. One month after Google created excitement around its Willow quantum chip, Nvidia CEO Jensen Huang and...

IBM Research Touts AI Supercomputer For Foundation AI

IBM has built a supercomputer, named Vela, in the IBM Cloud to help its scientists create and optimize new AI models.AI needs a lot of horsepower. IBM AI Research, which has been investigating new digital and analog processor technologies to speed the calculations AI...

IBM Research And The Full Stack Approach To Innovation

IBM’s vaunted research organization, one of the largest in the industry, thinks the path to innovation is to be taken as a team with clients and partners exploring the full stack needed to address a business challenge. We had a chance this week to hear how IBM...

AMD Launches 3rd Generation EPYC

AMD’s new EPYC server chip promises better performance than Intel.