The Latest News in AI

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

Pearls Of Wisdom From Jensen Huang

A bunch of industry analyst got to spend 90 minutes with the CEO and co-founder of NVIDIA today to discuss his GTC announcements, and the future of the computing landscape. This was not an unusual occurrence. Jensen always makes himself available, and no analyst...

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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...

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SiFive Lands $175M Financing

Valued At Over $2.5B, SiFive Is Set To Challenge Arm, And x86 Vendors SiFive, Inc., today announced it has raised $175 million in a Series F financing round, valuing the RISC-V company at over $2.5 billion. The Series F round was led by Coatue Management. SiFive...

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AI Startup Tsavorite Emerges With $100M In Orders, 10X Performance

Another player has entered the AI semiconductor arena, and they’re not holding back. Tsavorite Scalable Intelligence, a Silicon Valley startup, has come onto the scene with bold performance claims, just a week before the SC25 event in St. Louis, Missouri. While their...

Qualcomm Researches AI Techniques That Could Enhance The Wireless Experience

AI Research at Qualcomm Technologies is advancing wireless communications and RF location sensing. Wireless communications and RF sensing technologies continue to advance with 5G rolling out now and 5G Advanced in the wings. In order to sustain a high...

Qualcomm Cloud AI 100 Is 3X More Efficient. What’s Missing?

New MLPerf benchmarks lay a solid foundation; now the company needs to finish the job. As the Cambrian Explosion reverberates across the landscape of AI chips, the benchmarking silence of many challengers stands in sharp contrast to their marketing hype. Most are...

The Cambrian AI Landscape: Intel

Intel has adopted a "Domain-Specific Architecture" strategy espoused by John L. Hennessy, Alphabet Chairman and former President of Stanford University. Consequently, the company has at least one of everything: CPU, GPU, ASICs, and FPGAs. While this may appear to be a...

IBM Research And The Full Stack Approach To Innovation

IBM’s vaunted research organization, one of the largest in the industry, thinks the path to innovation is to be taken as a team with clients and partners exploring the full stack needed to address a business challenge. We had a chance this week to hear how IBM...

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...

A Deeper Look Into Qualcomm’s MLPerf Results

Qualcomm not only bested the entire field for power efficiency, a 16-card server was the fastest tested. Qualcomm, perhaps best known for its leadership Snapdragon mobile platform, has further enhanced its AI bona fides with V1.1 MLPerf inference benchmark suite...

OpenAI’s Deep Research Demands More Hardware, Not Less

Discussions about Deep Seek’s impact on Nvidia is everywhere. Yesterday, I heard an investor on CNBC’s "Fast Money" program pontificate that Deep Seek and its disruptive technology mean that “Nobody needs an Nvidia H100 anymore,” much less a Blackwell. I struggle to...

IBM Teams With AMD For Cloud AI Acceleration

This could be quite telling, as IBM had previously been using Nvidia for it’s internal cloud AI research. IBM has selected AMD to provide AI accelerators for the IBM Cloud. This is another milestone for AMD, which needs cloud adoption to achieve its goals. And IBM...

Tenstorrent Launches AI Chip With Conditional Execution

What the heck is that you ask?  So, did I; but it looks promising! I continue to be amazed at the innovations that are coming to market to accelerate deep learning workloads.  GraphCore, Habana Labs, Cerebras, Blaize, Groq, Perceive and others are now being joined by...