The Latest News in AI

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

Speeding AI With Co-Processors

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...

read more

Can CEO Lip-Bu Tan Save Intel?

After only 14 days on the job, Monday was showtime for Intel’s newest CEO, Lip-Bu Tan. During his keynote at the Intel Vision event in Las Vegas, Mr. Tan reiterated the messages communicated in his shareholder letter two weeks ago. He wants to focus Intel on...

read more

Can CEO Lip-Bu Tan Save Intel?

After only 14 days on the job, Monday was showtime for Intel’s newest CEO, Lip-Bu Tan. During his keynote at the Intel Vision event in Las Vegas, Mr. Tan reiterated the messages communicated in his shareholder letter two weeks ago. He wants to focus Intel on...

Cerebras Files For The Very First Generative AI IPO

If Cerebras can grow beyond its initial benefactor, G42, this IPO will be a rocket ship. If not, … It may be hard to believe, but there hasn’t been a single IPO for an AI hardware company. Period. Not One. Why? Because none of the startups have yet to achieve the...

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

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

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...

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

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...

Cerebras Gets Into The Inference Market With A Bang

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...

AI Startup MosaicML Comes Out Of Stealth To Aid AI Developers

Naveen Rao, ex-Nervana and Intel, leads the new company focused on improving the efficiency of AI Training Training a deep neural network takes a lot of computational horsepower. Billions of trillions of multiplications and additions calculate “weights” which are...

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

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...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

Qualcomm Cloud AI100 Ultra: 4 Times The Performance For Large Models

We haven't heard from Qualcomm in a while regarding their power-efficient data center inference accelerator, which still holds the record for power efficiency, according to MLCommons benchmarking. Now Qualcomm has announced a new “Ultra” version that delivers four...