The Latest News in AI

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

ChatGPT: Massive Disruption

Our relationship with computers will never look the same. Here are the winners and losers. The web, the media, and my email are entirely full of ChatGPT missives and questions. I’ve spent hours with scores of investors, all wanting to understand the impact on...

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Tenstorrent Shifts Leadership Roles

The Toronto-based startup is growing fast, swapping CEO and CTO roles, and laying out a compelling roadmap for AI and RISC-V. Tenstorrent, a Toronto-based startup who raised over $200M in venture funding at a $1B valuation in May, 2021, has now grown to over 280...

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Will AMD’s MI300 Beat NVIDIA In AI?

The upcoming MI300, which will ship Latter this year after NVIDIA’s Grace/Hopper Superchip, certainly has a shot at it. But there remain a lot of unknowns that will determine how well it performs for AI applications. And then there is Software. Yeah, Software. Lots of...

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Qualcomm Research Examines On-Device AI Learning

On-device training capability would enhance the user experience while protecting privacy. We’ve all had those frustrating experiences with our mobile phones when the voice assistant seems to possess artificial stupidity instead of artificial intelligence. The real...

Intel Acquires Habana Labs For $2 Billion

The Habana Gaudi accelerator for training comes complete with an integrated fabric to scale out to hundreds or even thousands of nodes. image: HABANA LABS In a strategic move in its datacenter AI plans, Intel has announced that it will acquire Israeli chip startup...

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...

Chip Design Moves To The Cloud With Synopsys And Microsoft Azure

CEO's Aart de Geus and Satya Nadella have teamed up to create the industry's first on-demand EDA Software as a Service offering on Microsoft Azure. SYNOPSYS AND MICROSOFT Synopsys and MicrosoftThe two companies have collaborated to enable engineers to design chips...

INTEL Lays Down The Gauntlet For AMD And NVIDIA GPUs

The company’s Xe GPU for HPC looks pretty good, but will it be good enough to catch up to AMD and NVIDIA? Intel has adopted a "Domain-Specific Architecture" strategy espoused by John L. Hennessy, Alphabet Chairman and former President of Stanford...

New Fabrics Enable Efficient AI Acceleration

While GPU performance has been the focus in data centers over the last few years, the performance of fabrics has become a key enabler or bottleneck in achieving the throughput and latency required to create and deliver artificial intelligence at scale. Nvidia’s...

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)....

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,...

Cerebras, Groq And SambaNova Line Up To Compete With Nvidia

While Nvidia gets most of the press and market volume, there are three startups that have designed custom silicon and rack-scale infrastructure to compete with them head-on: Cerebras, Groq and Samba Nova. While Groq and Samba Nova seem to be getting some traction,...

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...