The Latest News in AI

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

Nvidia AI Foundry And NIMs: A Huge Competitive Advantage

Nvidia has fleshed out a complete software stack to ease custom model development and deployment for enterprises. Is this AI Nervana? And can AMD and Intel compete with this? In order for enterprises to adopt AI, its got to become a lot easier and more affordable....

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...

Cadence Design And Nvidia Team To Create AI Data Center Digital Twin

The data center business is in a bit of a panic. Demand is skyrocketing. Rack power requirements have increased from ~12KW per rack to over 125 KW in just the last year. Now they are preparing for a Gigawatt rack in the next two to three years (Nvidia Rubin Ultra)....

NVIDIA Now Offers A Comprehensive Platform For Enterprise AI

Enterprises have been slow to adopt AI in a big way. Recent forecasts predict that is about to change, and NVIDIA wants to reap the benefits. Enterprise IT organizations can easily be put off by the amount of new technology they will have to master in order to adopt...

AMD Acquires ZT, Addressing A Key Nvidia Advantage. Still, Two To Go

By acquiring ZT Systems, a favorite Hyperscale systems designer, AMD addresses a fundamental weakness it faces versus Nvidia: AI requires a complete system design, not just a fast chip. What else must it do to grab a 20% share? At a recent investment conference hosted...

Why Intel Is Investing In Neuromorphic Computing

Intel certainly has a lot of irons in the AI fireplace, including Xeon CPUs, Movidius computer vision chips, MobileEye chips for autonomous driving and Deep Neural Network training and inference processing technology from the newly acquired Habana Labs. With all of...

News Flash: NVIDIA Remains The Fastest Available AI Accelerator

Ok, while that is hardly surprising news, given the comfortable lead NVIDIA enjoys, Google’s upcoming TPUv4 out-performed NVIDIA on three of eight benchmarks on a chip-to-chip basis, while Graphcore’s performance and price/performance is in the ball park. Meanwhile,...

Could Graphcore’s Second Chip Challenge NVIDIA?

Graphcore, a UK-based startup, launched its first Intelligence Processing Unit (IPU) for AI acceleration in 2018. Today it introduced its second-generation product for AI, a massively parallel chip with 59.4 billion transistors that delivers some 250 Trillion...

Need A Chat-Bot For Your Business? Try NVIDIA NeMo.

Nemo can help organizations tailor AI Models to focus on a smaller domain; and perhaps avoid costly mistakes! Lesley Stahl: “Oh, my god. It's wrong!” The veteran reporter was aghast that Microsoft Bing could get something so easy so wrong. Ms. Stahl was interviewing...

Enhanced Memory Grace Hopper Superchip Could Shift Demand To NVIDIA CPU And Away From X86

The company’s new high bandwidth memory version is only available with the CPU-GPU Superchip. In addition, a new dual Grace-Hopper MGX Board offers 282GB of fast memory for large model inferencing. The AI landscape continues to change rapidly, and fast memory (HBM)...