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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Cerebras Systems Lays The Foundation For Huge Artificial Intelligence

Startup announces technology to enable a 120-trillion-parameter model on the way to brain-scale AI. OK, I thought I was done with preparing for HotChips, having prepared six blogs and three research papers. I was ready to take a few days off. Nonetheless, I decided to...

Is Intel Turning The Corner?

Intel stock is up 35% in the last three weeks on a string of good news. Is there more to come? Semiconductors have been one of the fastest growing segments on Wall Street this year. Intel has quietly recovered its losses over the last year, with the bulk of the...

What Is Driving The Divergence Between AI Analyst Targets And Reality

Have you noticed a disturbing trend lately in your AI stocks? As analysts continue to increase their earnings and price projections for popular AI stocks, the prices continue to decline. All in spite of massive revenue growth projections. Yahoo Finance tallies the...

NVIDIA Keeps The Performance Crown For AI Inference For The 6th Time In A Row

In The Data Center And On The Edge, the bottom line is that the H100 (Hopper-based) GPU is up to four times faster than the NVIDIA A100 on the newly released ​MLPerf V2.1 benchmark suite. The A100 retains leadership in many benchmarks versus other available products...

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...

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...

Cerebras Systems Wins A Major New Client: The Mayo Clinic

The Mayo Clinic has one of the world’s most extensive and valuable health data sets. AI can now transform that treasure trove into better health outcomes and scientific understanding, and Cerebras has been selected to help. As we noted last Fall, Cerebras is one of...

In The Latest AI Benchmarks, Nvidia Remains The Champ, But Qualcomm Is Rising Fast

NVIDIA rules the performance roost, Qualcomm demonstrates exceptional power efficiency, and Intel demonstrates the power of software. Every three months, the not-for-profit group MLCommons publishes a slew of peer-reviewed MLPerf benchmark results for deep learning,...

Beware The AI Benchmarks!

Common Pitfalls In AI Benchmark Claims Most AI hardware purchase decisions follow lengthy evaluations running models and data representative of the application under development. Thats how decisions are made, and should be made. However, in typical AI hardware...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...