The Latest News in AI

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

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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Is The AMD GPU Better Than We Thought For AI?

MosaicML, just acquired by DataBricks for $1.3B, published some interesting benchmarks for training LLMs on the AMD MI250 GPU, and said it is ~80% as fast as an NVIDIA A100. Did the world just change? To be brutally honest, everyone wants to see a fight, between AMD...

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...

The Cambrian AI Landscape: NVIDIA, The 800Lb Gorilla

NVIDIA is the 800 lb. gorilla in the AI hardware space. The company invests heavily in silicon, systems, and software to maintain that leadership position. This blog is an excerpt from the AI Competitive Landscape Report which is available to subscribers. Early...

AMD Announces MI350 GPU And Future Roadmap Details

AMD held their now-annual Advancing AI event today in Silicon Valley, with new GPUs, new networking, new software, and even a rack-scale architecture for 2026/27 to better compete with the Nvidia NVL72 that is taking the AI world by storm. Let’s dive in! Net-Net...

Meta Builds World’s Largest AI Supercomputer With NVIDIA For AI Research And Production

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...

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...

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...

Qualcomm Is Still The Most Efficient AI Accelerator For Image Processing

Company’s recent design wins will help Qualcomm turn MLPerf benchmarks into sales. AI energy efficiency matters! Ever since Qualcomm announced its first-generation cloud edge AI processor, the Qualcomm Cloud AI 100, the company has been at the top of the leader board...

Tenstorrent Opens Office In Japan To Capitalize On RISC-V + AI

Is the company setting up the first RISC-V HPC win? Tenstorrent, the Toronto-based semiconductor company, now led by the super-star chip designer Jim Keller, has just opened a new office in Japan. So, as many other AI startups are struggling, Tenstorrent is doubling...

IBM Launches Quantum System Two And A Roadmap To Quantum Advantage

IBM announced its path to achieve over 100,000 qubits and over a billion circuit gates. When realized, IBM may create the world's first platform for universal computation in a quantum system. It sounds like Quantum Nirvana is finally in sight. Background Building a...