The Latest News in AI

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

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 DGX Cloud Gives CSPs And Their Customers Exactly What They Want: Fast AI, Fast

NVIDIA’s offering integrates the company’s best GPU hardware and software into AI Supercomputers of virtually any size in the cloud, enabling enterprises to build and deploy AI without infrastructure hassles. While some may confuse this as NVIDIA competing with cloud...

Intel Lays Out Strategy For AI: It’s Habana

Last month, Intel announced that it would acquire Israeli AI chip startup Habana Labs for $2B. At the time, I opined that this probably spelled the end for chips from the 2016 Nervana acquisition. Intel planned to bring out both the inference and the training versions...

NVIDIA GTC: “DPU” Smart NIC And More

NVIDIA Co-founder and CEO Jensen Huang rarely disappoints his audience nor his investors. This week he once again delivered the goods at the GPU Technology Conference. Announcing a broad range of hardware and software innovations, Jensen made it clear that he intends...

d-Matrix Emerges From Stealth With Strong AI Performance And Efficiency

Startup launches “Corsair” AI platform with Digital In-Memory Computing, using on-chip SRAM memory that can produce 30,000 tokens/second at 2 ms/token latency for Llama3 70B in a single rack. Using Generative AI, called inference processing, is a memory-intensive...

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...

Intel Innovation: AI Everywhere

That phrase has dual meanings: AI will run everywhere, and AI was everywhere at the event. Pat Gelsinger’s keynote made it clear where Intel plans to innovate: AI. No surprise to anyone with a pulse, to be sure, but his enthusiasm was infectious. Every Intel employee...

What Is Physical AI, And Why It Could Change The World

Nvidia CEO Jensen Huang believes Physical AI will be the next big thing. Emerging robots will take many forms, all powered by AI. Recently Nvidia has been extolling a future where robots will be everywhere. Intelligence machines will be in the kitchen, the factory,...

Graphcore And Spell Collaborate For End-To-End ML Operations

Companies also announce free IPU Test Drive with Graphcore AI hardware and Spell software. Building, training, optimizing, and deploying AI models at scale can be excruciatingly difficult. Especially for large models that need to be optimized to run well at scale and...

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...