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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$110M In Funding Will Help d-Matrix Get Generative AI Inference Platform To Market

Company sees a window where they can launch their cost-effective solution and get traction ahead of other’s next-gen silicon. d-Matrix has closed $110 million in a Series-B funding round led by Singapore-based global investment firm Temasek. The funding should enable...

AI Has Eaten IBM Think

AI pervades every session at the annual IBM event. The virtual event of “All Things IBM” has become “All Things AI”, from chips to software, Watson to SAP, and companies including SalesForce, Siemens, Natwest, Dow and others. Honestly, if I could search the Think...

Eliminating Zombie Servers Could Save Billions

A Digital Twin of your Data Center can help identify and reduce wasted IT infrastructure, even before you build it. Nvidia uses one to plan and operate its AI supercomputers, as eliminating wasted IT has an enormous economic impact and improves reliability and...

Eight Takeaways From NVIDIA GTC

New Hopper GPU, Grace Superchips, New OGX Server for Omniverse, Faster networking, New DGX Servers & Pods, Enterprise AI Software, 60 updated SDKs, Next-Gen Hyperion Drive, Omniverse Cloud, ... I could go on and on! But neither of us has the time, so... GTC always...

Will NVIDIA Enter The Race For Quantum Computing?

Well, not directly. However, the company is making it easier to develop code for quantum machines using GPUs. Ok, let's face it. Programming quantum computers is hard. REALLY hard. While we do not expect NVIDIA to develop and market their own quantum system any time...

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...

Two Can’t-Miss Events For AI Hardware

There are two conferences coming up that AI developers, executives, and investors should consider attending to get the latest from the industry’s leaders and challengers. I will attend both and I hope to see many of my readers there! Let’s take a closer look at what’s...

Tenstorrent Scores Big Win At LG

The companies will collaborate to build RISC-V, AI, and Video Codec chiplets for future automotive and TV products. We’ve been following the Toronto-based startup Tenstorrent for the last several years, where CEO Jim Keller is now steering multiple advanced designs...

Nvidia Takes Major Step To Leverage Its Rack-Scale Ecosystem

While few dispute the incredible performance of Nvidia AI platforms, many complain that it is a closed system. You can’t replace the Arm CPUs with, say, a CPU from a RISC-V , or take advantage of a new AI ASIC like the Meta MTIA accelerator, without redesigning and...

IBM And Rapidus Will Collaborate To Build 2nm Chips In Japan.

IBM, who invented the tech everyone will use to create 2nm silicon, is partnering with Rapidus to bring it to market The world now realizes that major economies need to have reliable and secure access to semiconductors, the heart of the digital economy, not to mention...