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!”

by Karl Freund | Nov 12, 2025 | In the News

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...

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

by Karl Freund | Nov 10, 2025 | In the News

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...

Nvidia GTC-DC Event Highlights AI, Quantum, And 6G Advances

by Karl Freund | Oct 28, 2025 | In the News

Nvidia GTC has become not only a key event for AI but has also branched out to Asia, Europe, and Washington, DC to keep developers and buyers up to date on the latest advances in high-performance computing technology. This year's DC event, which kicked off with a...

Qualcomm Readies Rack-Scale AI With New Chips And Roadmap

by Karl Freund | Oct 27, 2025 | In the News

Qualcomm announcement omits many details, but Humain will be a key customer. Qualcomm has quietly been in the AI data center since the company introduced the Qualcomm AI100 in 2019. Now, Qualcomm has taken a big step forward, launching a data center AI chip, PCIe...

Cerebras, Groq And SambaNova Line Up To Compete With Nvidia

by Karl Freund | Oct 21, 2025 | In the News

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,...

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HPE Adds Support For Qualcomm Cloud AI 100 Inference Accelerator

by Karl Freund | August 12, 2022 | In the News | 0 Comments

HPE’s endorsement for the Qualcomm Technology Cloud AI 100 is a huge step for most efficient and high-performance AI inference engines in market today. When I was working at AMD to get the first generation EPYC server SoC added to HPE servers, I learned that the...

Cerebras Publishes 7 Trained Generative AI Models To Open Source

by Karl Freund | March 28, 2023 | In the News | 0 Comments

The AI company is the first to use Non-GPU tech to train GPT-based Large Language Models and make available to the AI community. The early days of an open AI community, sharing work and building on each other’s success, is over. As there is now much more money at...

A Closer Look At Graphcore ML Performance

by Karl Freund | January 3, 2022 | In the News | 0 Comments

Greater scalability and new software increases performance by 50-fold over the last twelve months. Graphcore, the UK-based AI Unicorn, submitted a raft of new benchmarks to MLCommons in December, which we covered here. Performance improved significantly with the...

New Fabrics Enable Efficient AI Acceleration

by Karl Freund | July 11, 2025 | In the News | 0 Comments

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...

Using AI To Build Better Chips

by Karl Freund | May 8, 2020 | AI and Machine Learning, In the News | 0 Comments

With so many startups and large semiconductor firms racing to get new AI chips to market, electronic tool and design service firms like Synopsys, Cadence and Mentor Graphics are looking for new approaches to help designers speed their time to market. Ironically, one...

NVIDIA Needed A CPU, But Did It Need To Buy Arm To Get One?

by Karl Freund | September 28, 2020 | AI and Machine Learning, In the News | 0 Comments

I often opine that NVIDIA needs a data center-class CPU to compete with Intel and AMD, both of whom have used tightly-coupled CPU/GPU technology to win the first three U.S. exascale supercomputer deals. Connecting massive GPUs to fast CPUs over a painfully slow PCIe...

Breaking: AMD Is Not The Fastest GPU; Here’s The Real Data

by Karl Freund | December 13, 2023 | In the News | 0 Comments

At the MI300 launch, AMD claimed it had significantly better performance than Nvidia. While the AMD chip does look good, and will probably run most AI just fine out of the box, the company did not use the fastest Nvidia software. The difference is enormous. At a...

IBM Doubles Down On Its AI Cloud

by Karl Freund | January 31, 2024 | In the News | 0 Comments

IBM Research has doubled the capacity of its Vela AI Supercomputer, part of the IBM Cloud, to handle the strong growth in watsonx models and has aggressive plans to continue to expand and enhance AI inferencing with its own accelerator, the IBM AIU. A year ago, IBM...

IBM Achieves Breakthrough In Quantum Computing

by Karl Freund | June 14, 2023 | In the News | 0 Comments

For the first time, IBM has used a quantum computer to solve a problem that that stumps the leading classical methods. This accomplishment marks a significant milestone in the path towards useful quantum computing systems and software. IBM has published a paper in...

Cadence Creates “True Hybrid” Cloud For Designers

by Karl Freund | April 11, 2024 | In the News | 0 Comments

Instead of having to choose to run on-prem or in the cloud, with attendant upload times and costs, the new True Hybrid offering from Cadence creates a dynamic environment for chip and system design. When creating a new chip, design teams currently have to chose...