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 Doubles Down On Its AI Cloud

IBM Research has doubled the capacity of its Vela AI Supercomputer, part of the IBM Cloud, to handle the strong growth in watsonx models and has aggressive plans to continue to expand and enhance AI inferencing with its own accelerator, the IBM AIU. A year ago, IBM...

An Update On Intel And Habana Labs

Last week, I reported that Intel plans to switch its AI acceleration from Nervana technology to Habana Labs, which it acquired in December. Since Intel had planned to bring out both the inference and the training versions of Nervana’s second generation, this came as...

BrainChip Sees Gold In Sequential Data Analysis At The Edge

Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine with that. With all the buzz around LLM generative AI, it is understandable...

Flex Sees Opportunities In The New AI Data Center

Data center cooling is hot. At least it’s becoming a hot market, with industry projections likely to increase as the Nvidia Blackwell GPU push increases the percentage of silicon that requires liquid cooling. Goldman Sachs estimates the server cooling market is...

Breaking: AMD Is Not The Fastest GPU; Here’s The Real Data

At the MI300 launch, AMD claimed it had significantly better performance than Nvidia. While the AMD chip does look good, and will probably run most AI just fine out of the box, the company did not use the fastest Nvidia software. The difference is enormous. At a...

IBM Teams With AMD For Cloud AI Acceleration

This could be quite telling, as IBM had previously been using Nvidia for it’s internal cloud AI research. IBM has selected AMD to provide AI accelerators for the IBM Cloud. This is another milestone for AMD, which needs cloud adoption to achieve its goals. And IBM...

Speeding AI With Co-Processors

Most chips today are built from a combination of customized logic blocks that deliver some special sauce, and off-the-shelf blocks for commonplace technologies such as I/O, memory controllers, etc. But there is one needed function that has been missing; an AI...

If The Arm Deal Fails, NVIDIA Is Fine, But Arm May Struggle

European regulators are again expressing concerns about the impact on competition. But the alternatives for Arm could be worse. NVIDIA does not need to acquire Arm to keep growing like a weed. The acquisition would add to NVIDIA’s revenue and growth, to be sure, but...

NVIDIA Data Center Growth Returns

NVIDIA reported renewed growth overall last week. Its Data Center segment (where most of the AI hardware is reported) grew 43% to a record $968M in the last quarter, and gaming rose 56% to $1.49 billion. The stock market appreciated the news, sending NVIDIA up over...

It’s Moving Day!

Its Hard to Start Over. But It is Time… From Forbes to Substack. I’ve been publishing on Forbes for over a decade, focusing primarily on AI Hardware as an Industry Analyst. My company is Cambrian-AI Research, which I founded after leaving Moor Insights and Strategy in...