The Latest News in AI

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

My 2026 AI Predictions Have A Few Surprises

OK, I haven’t done this in a while; no excuse other than laziness. But here are ten concrete, defensible predictions for AI in 2026, with a bias toward things that materially matter for infra, enterprises, and policy. 1. Agentic AI moves from demos to staffed “digital...

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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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IBM Shares AI Strategy And A Wealth Of Customer AI Results

Under CEO Arvind Krishna’s leadership and AI’s momentum, IBM has truly transformed its business, technology, and leadership. I should know; I worked there as an exec from 2000 to 2010. Now IBM is all about AI and Hybrid Cloud, with Quantum computing in sight. Lucky...

AI Startup Tsavorite Emerges With $100M In Orders, 10X Performance

Another player has entered the AI semiconductor arena, and they’re not holding back. Tsavorite Scalable Intelligence, a Silicon Valley startup, has come onto the scene with bold performance claims, just a week before the SC25 event in St. Louis, Missouri. While their...

Following MSFT & GOOG Lead, AWS Embraces Nvidia And Upgrades Own Chips

As expected, Amazon AWS CEO Adam Selipsky announced updated AWS-engineered AI Training and Arm CPU chips to lower the cost of cloud services. But AWS has a problem: they have kept Nvidia at arm’s length to their detriment as Microsoft Azure increases market share. To...

Qualcomm Becomes A Mobile AI Juggernaut.

As we approach Nvidia GTC, its worth noting that there is another player in town. Or south of town, in San Diego: Qualcomm. The company has been building AI expertise and technology for over a decade, and we believe its lead over mobile rivals in both AI hardware and...

Two Can’t-Miss Events For AI Hardware

There are two conferences coming up that AI developers, executives, and investors should consider attending to get the latest from the industry’s leaders and challengers. I will attend both and I hope to see many of my readers there! Let’s take a closer look at what’s...

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,...

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...

Nvidia AI Foundry And NIMs: A Huge Competitive Advantage

Nvidia has fleshed out a complete software stack to ease custom model development and deployment for enterprises. Is this AI Nervana? And can AMD and Intel compete with this? In order for enterprises to adopt AI, its got to become a lot easier and more affordable....

A Deeper Look Into Qualcomm’s MLPerf Results

Qualcomm not only bested the entire field for power efficiency, a 16-card server was the fastest tested. Qualcomm, perhaps best known for its leadership Snapdragon mobile platform, has further enhanced its AI bona fides with V1.1 MLPerf inference benchmark suite...

Synopsys Launches First 1.6T Ethernet To Accelerate AI Data Centers

Normally, an AI Industry Analyst like myself would not take notice of a new version of Ethernet; its IP is fairly staid technology these days. But now the demands of high performance AI has changed the game, again. CPU, Accelerators, and Switch vendors depend on...