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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Buckle Up! Here’s The Hot News From Nvidia GTC 2024

There is so much to share, so here is our take from Jensen’s Keynote address... After a five year Covid hiatus, Jensen Huang took the stage for an in-person Keynote at the SAP Arena to an adoring crowd of techies and investors. Like in the olden days, the man in the...

Who Is The Leader In AI Hardware?

A few months ago, I published a blog that highlighted Qualcomm’s plans to enter the data center market with the Cloud AI100 chip sometime next year. While preparing the blog, our founder and principal analyst, Patrick Moorhead, called to point out that Qualcomm ,...

HotChips Preview: Nvidia Scales AI Beyond The Data Center

The annual HotChips conference starts this Sunday, Aug. 24, in San Francisco. Nvidia is scheduled to present six sessions covering topics of interest to AI data center users and operators and will make several key announcements I’ll cover in this article. (Like most...

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...

New Fabrics Enable Efficient AI Acceleration

While GPU performance has been the focus in data centers over the last few years, the performance of fabrics has become a key enabler or bottleneck in achieving the throughput and latency required to create and deliver artificial intelligence at scale. Nvidia’s...

Nvidia Ups Its Robotics Game With Blackwell-Based Jetson Thor

Nvidia focuses on maximum performance and efficiency. We’ve all heard the predictions: the Next Big Thing will be “Physical AI” (Nvidia) or “Embodied AI” (Qualcomm). Jensen Huang has predicted that in a decade, there will be more robots than humans on Earth. These...

Our Year-End Newsletter

With the end of the year at hand, we first want to thank you for being a follower of Cambrian-AI Research, and share a few thoughts about the industry. Our community has grown tremendously thanks to you reading our many blogs on Forbes. EE Times, and on this...

Cadence Creates “True Hybrid” Cloud For Designers

Instead of having to choose to run on-prem or in the cloud, with attendant upload times and costs, the new True Hybrid offering from Cadence creates a dynamic environment for chip and system design. When creating a new chip, design teams currently have to chose...

Nvidia GTC-DC Event Highlights AI, Quantum, And 6G Advances

Nvidia GTC has become not only a key event for AI but has also branched out to Asia, Europe, and Washington, DC to keep developers and buyers up to date on the latest advances in high-performance computing technology. This year's DC event, which kicked off with a...

The Cambrian AI Landscape: GROQ

Ex-Google TPU engineers have been there and done that! Startup Groq is now sampling its AI platform to select customers and claims to have built the most efficient DNN processor in the industry. However, we need more transparency to substantiate this claim, in my...