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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NVIDIA Completely Re-Imagines The Data Center For AI

It is all about tighter integration with memory, CPUs, and accelerators for trillion-parameter AI models. For 12 years, NVIDIA has used its Spring GPU Technology Conference (GTC) to amaze its customers and investors with new GPUs for graphics and application...

Eliyan Technology May Rewrite How Chiplets Come Together

Company’s interconnect eliminates the need for expensive interposers, accelerating AI processing; could double the amount of memory for AI like ChatGTP, saving millions. Artificial Intelligence is finally having its iPhone moment. The launch of ChatGPT led to waves of...

Nvidia Rocks CES With Grace-Blackwell AI PC Platform

Among a slew of AI software announcements, Nvidia founder, CEO, and fashion icon Jensen Huang announced a new platform to power AI PCs for AI developers. Many analysts had long expected this move, as the Grace (Arm) CPU coupled with a Blackwell GPU on the same package...

Qualcomm Readies Rack-Scale AI With New Chips And Roadmap

Qualcomm announcement omits many details, but Humain will be a key customer. Qualcomm has quietly been in the AI data center since the company introduced the Qualcomm AI100 in 2019. Now, Qualcomm has taken a big step forward, launching a data center AI chip, PCIe...

Big AI Inference Has Become A Big Deal And A Bigger Business

Thanks to innovations like DeepSeek, training AI has become cheaper. However, inference is becoming more demanding as we ask AI to think harder before answering our questions. Nvidia, Groq, and Cerebras Systems (clients of Cambrian-AI Research) have all released...

The View From The AI HW Summit: What Was The Best AI HW In 2021?

The Summit is full of newsworthy announcements this week! I present a look back to help kick off the event... Today I present my annual AI industry overview at the AI Hardware Summit. This is the fourth annual event with nearly all the AI hardware vendors talking...

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...

Synopsys Opens The Next Chapter Of AI Tools For Chip Design And Manufacturing

The EDA leader has generated over $500M to date in AI tools and technologies. Now a new data analytics solution applies data management, curation, and analysis across the entire pipeline of chip creation. Synopsys was the first EDA company to apply AI to chip design,...

NVIDIA GTC ’20 Could Be Massive

As we approach NVIDIA’s annual GPU Technology Conference, everyone is anxious to see what CEO Jensen Huang has up his trademark black leather sleeves. I have no idea, but as usual, I have an opinion. An intro to GTC GTC is NVIDIA’s partners’ big annual opportunity to...

AMD Narrows The gap With Nvidia In New MLPerf Benchmarks

New benchmark results from AMD, Untether AI, Google, Intel, and Nvidia demonstrate the converging AI silicon performance competition. However, system design, networking, and software make AI sing and dance. And that’s where Nvidia excels. Finally, I can stop whining...