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

by Karl Freund | Jul 23, 2024 | In the News

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....

What’s Next For On-Device AI? Ask Qualcomm

by Karl Freund | Jul 1, 2024 | In the News

Qualcomm held a one day analyst event in San Diego updating us all on their AI research. Pretty amazing stuff, but the big news is yet to come with a new Oryon-based Snapdragon expected this Fall, and perhaps a new Cloud AI 100 next year. Qualcomm was pretty confident...

The NewReality: Fast Inference Processing For 90% Less?

by Karl Freund | Jun 18, 2024 | In the News

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...

Synopsys Certifies AI-Lead Design And IP Solutions For Samsung’s 2nm

by Karl Freund | Jun 12, 2024 | In the News

2nm is the Next Big Thing in chip production, and Synopsys design tools and IP are now ready for production work and tape-outs on Samsung’s latest fab. Samsung has its eyes on the prize, hoping to secure more design wins as it competes with TSMC for the semiconductor...

MLPerf Training 4.0: It’s All About Scale

by Karl Freund | Jun 12, 2024 | In the News

While there isn’t a lot of new hardware (none!), Nvidia and Intel show off their muscles and ability to run new models at scale. Ok, here we go again. MLCommons has released new AI benchmarks, this time for training. And again. Nvidia runs all AI models better than...

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AI Inference Is King; Do You Know Which Chip is Best?

by Karl Freund | April 2, 2025 | In the News | 0 Comments

Everyone is not just talking about AI inference processing; they are doing it. Analyst firm Gartner released a new report this week forecasting that global generative AI spending will hit $644 billion in 2025, growing 76.4% year-over-year. Meanwhile, MarketsandMarkets...

Speeding AI With Co-Processors

by Karl Freund | May 7, 2025 | In the News | 0 Comments

Most chips today are built from a combination of customized logic blocks that deliver some special sauce, and off-the-shelf blocks for commonplace technologies such as I/O, memory controllers, etc. But there is one needed function that has been missing; an AI...

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...

Esperanto Launches AI Accelerator With Over 1000 RISC-V Cores

by Karl Freund | August 24, 2021 | In the News | 0 Comments

After delays, the company now has working silicon back from TSMC, with high power efficiency for recommendation engines. Esperanto has announced more details at Hot Chips about its much-anticipated AI accelerator designed for power-efficient inference processing....

Intel Innovation: AI Everywhere

by Karl Freund | September 25, 2023 | In the News | 0 Comments

That phrase has dual meanings: AI will run everywhere, and AI was everywhere at the event. Pat Gelsinger’s keynote made it clear where Intel plans to innovate: AI. No surprise to anyone with a pulse, to be sure, but his enthusiasm was infectious. Every Intel employee...

Qualcomm Research Examines On-Device AI Learning

by Karl Freund | March 23, 2022 | In the News | 0 Comments

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...

NVIDIA Completely Re-Imagines The Data Center For AI

by Karl Freund | April 12, 2021 | DataCenter AI, In the News | 0 Comments

It is all about tighter integration with memory, CPUs, and accelerators for trillion-parameter AI models. For 12 years, NVIDIA has used its Spring GPU Technology Conference (GTC) to amaze its customers and investors with new GPUs for graphics and application...

The Raging Debate: When Will Quantum Arrive?

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

There has been considerable discussion and stock price volatility of late surrounding the expected timing of useful applications and hardware for quantum computing. One month after Google created excitement around its Willow quantum chip, Nvidia CEO Jensen Huang and...

Cerebras Gets Into The Inference Market With A Bang

by Karl Freund | August 27, 2024 | In the News | 0 Comments

Cerebras’ Wafer-Scale Engine has only been used for AI training, but new software enables leadership inference processing performance and costs. Should Nvidia be afraid? As Cerebras prepares to go public, it has expanded its target markets and competitive stance by...

AMD Narrows The gap With Nvidia In New MLPerf Benchmarks

by Karl Freund | August 28, 2024 | In the News | 0 Comments

New benchmark results from AMD, Untether AI, Google, Intel, and Nvidia demonstrate the converging AI silicon performance competition. However, system design, networking, and software make AI sing and dance. And that’s where Nvidia excels. Finally, I can stop whining...