The Latest News in AI

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

Qualcomm Is Rightly Proud Of Its New AI Hub

The mobile chip giant has released a new App Store for AI developers, with over 75 models in its “zoo” and support for every modern Snapdragon chip. Have you ever tried to stand up the infrastructure and software required for inference processing? It is complicated....

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Synopsys Announces New AI-Driven Solutions

Synopsys CEO Sassine Ghazi takes the stage for the first time as CEO at SNUG, joined by Nvidia CEO Jensen Huang to discuss the companies’ collaboration and much more. I never knew how close Synopsys and Nvidia were! Apparently, according to Jensen, Synopsys delivered...

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Putting HPC To Work To Accelerate COVID-19 Research

The US arsenal of supercomputers has officially been opened up for COVID-19 research. The White House recently announced the new COVID-19 High Performance Computing Consortium, which will allow researchers worldwide to access to the world’s most powerful HPC resources...

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...

NVIDIA DPU & Intel IPU: Game Changers Or Just Smart NICs?

Intel has joined the fray to create a new category of Smart Network Interfaces, but with a different strategy than NVIDIA. Back in 2020, when we were all still afraid to leave our homes, NVIDIA launched what it said was a new kind of processor that combined the...

Who Won The Latest AI Drag Race? AWS Or NVIDIA?

Of course the answer depends on who you ask. There is a quiet drama simmering over AI chip benchmarks. This isn’t the first time, and will certainly not be the last. Keeps me busy. This time, it is between Amazon Web Services (AWS) and NVIDIA. It is always NVIDIA. Not...

Taalas Launches Hardcore Chip With ‘Insane’ AI Inference Performance

The AI hardware market looks a lot different today than it did yesterday, thanks to the introduction of the Taalas Hardcore AI architecture. Founded two and a half years ago, Taalas has developed a platform for transforming any AI model into custom silicon, hardening...

AI Is Reshaping Chip Design. But Where Will It End?

Using AI reduces design costs, improves yields and performance, and shortens time-to-market for better chips. Synopsys, Cadence Design Systems, and many hyperscal chip designers are now adopting generative AI capabilities to facilitate chip design. Think of this as...

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...

AI Hardware: Harder Than It Looks

The second AI HW Summit took place in the heart of Silicon Valley on September 17-18, with nearly fifty speakers presenting to over 500 attendees (almost twice the size of last year’s inaugural audience). While I cannot possibly cover all the interesting companies on...

Cerebras Update: The Wafer Scale Engine 3 Is A Door Opener

Cerebras held an AI Day, and in spite of the concurrently running GTC, there wasn’t an empty seat in the house. As we have noted, Cerebras Systems is one of the very few startups that is actually getting some serious traction in training AI, at least from a handful of...

Nvidia Improves Performance With 5x Faster AI. Yes, Software Matters.

Nvidia’s pre-emptive strike may blunt AMD MI300 news, pointing to the company's key advantage in AI software. AMD will host a big announcement this week in San Jose, where the company will announce details about its new flagship GPU for generative AI, the MI300....