The Latest News in AI

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

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...

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Meta Builds World’s Largest AI Supercomputer With NVIDIA For AI Research And Production

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...

Intel Innovation: AI Everywhere

That phrase has dual meanings: AI will run everywhere, and AI was everywhere at the event. Pat Gelsinger’s keynote made it clear where Intel plans to innovate: AI. No surprise to anyone with a pulse, to be sure, but his enthusiasm was infectious. Every Intel employee...

The NewReality: Fast Inference Processing For 90% Less?

Most of the investment buzz in AI hardware concentrates on the amazing accelerator chips that crunch the math required for neural networks, like Nvidia’s GPUs. But what about the rest of the story? CPUs and NICs that pre- and post-process the query add significant...

Synopsys Certifies AI-Lead Design And IP Solutions For Samsung’s 2nm

2nm is the Next Big Thing in chip production, and Synopsys design tools and IP are now ready for production work and tape-outs on Samsung’s latest fab. Samsung has its eyes on the prize, hoping to secure more design wins as it competes with TSMC for the semiconductor...

Synopsys Announces New AI-Driven Solutions

Synopsys CEO Sassine Ghazi takes the stage for the first time as CEO at SNUG, joined by Nvidia CEO Jensen Huang to discuss the companies’ collaboration and much more. I never knew how close Synopsys and Nvidia were! Apparently, according to Jensen, Synopsys delivered...

Nvidia Contributes Blackwell And Ethernet Tech To Meta’s Open Compute

Many think of Nvidia as a closed ecosystem. But as AI transitions from fast chips to address a full-system challenge, Nvidia is helping drive an open industry. Yes, CUDA is closed. Nvidia says it has to be closed in order to develolp an optimized software abstraction...

MLPerf Training 4.0: It’s All About Scale

While there isn’t a lot of new hardware (none!), Nvidia and Intel show off their muscles and ability to run new models at scale. Ok, here we go again. MLCommons has released new AI benchmarks, this time for training. And again. Nvidia runs all AI models better than...

Intel Habana Launches 2nd Gen AI Chips

Habana launches new chips for training and inference, claiming 2X performance advantage over last generation NVIDIA A100 Habana launched their 1st chip at the inaugural Kisaco AI Hardware Summit in 2018 with excellent performance and efficiency. Unfortunately for...

NVIDIA And Intel Publish First GPT3 Benchmarks; AMD, AWS, And Google Are MIA

Let’s look into the results and explore why so many competitors chose not to play ball. Those who follow me know the drill: MLCommons publishes benchmarking results every 3 months, alternating between inferencing and training. Then I explain the results and whine...

Cadence Supercomputer Appliance Enables Full-Scale Digital Twins

Computational Fluid Dynamics, or CFD, software simulates the flow of fluids around an object in fine detail and is indispensable to auto and aerospace manufacturers. But it takes a lot of FLOPS to simulate how a full system (a car, plane, jet engine, ...) behaves in...