The Latest News in AI

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

IBM Doubles Down On Its AI Cloud

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...

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NVIDIA Is Not A Chip Company. It’s A Platform Company.

NVIDIA extends its lead in accelerated computing, announcing platforms for the metaverse, healthcare, enterprise AI, autonomous vehicles, and data center security at the GTC Conference. NVIDIA, probably on its way to becoming a trillion dollar company, has been...

SiMa.ai Sets A New Standard In Embedded Edge Power Efficiency

For power-constrained edge applications, SiMa tops the leader, NVIDIA Orin, according to the company’s recent MLPerf results and more. There’s big AI like ChatGPT, and then there is useful AI embedded at the edge. At in these environments, available power could be...

What If IBM Z Could Help Stop Fraud?

Last year, IBM launched the z16 with an integrated AI accelerator on each CPU chip. Now, with the infusion of AI into IBM z/OS and a robust AI open-source toolkit, IBM Z customers can realize low-latency AI on a highly trustworthy and secure enterprise system: the...

Intel Lays Out Strategy For AI: It’s Habana

Last month, Intel announced that it would acquire Israeli AI chip startup Habana Labs for $2B. At the time, I opined that this probably spelled the end for chips from the 2016 Nervana acquisition. Intel planned to bring out both the inference and the training versions...

Cerebras Lands Huge AI Deal: A 36 Exaflop Monster

The Wafer-Scale Engine company has been working for 8 years to break into the top tier of AI computing. This deal might just assure its success. We have been watching Cerebras for a long time, from its launch of the first wafer-scale engine for AI to its recent...

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....

NVIDIA DPU & Intel IPU: Game Changers Or Just Smart NICs?

Intel has joined the fray to create a new category of Smart Network Interfaces, but with a different strategy than NVIDIA. Back in 2020, when we were all still afraid to leave our homes, NVIDIA launched what it said was a new kind of processor that combined the...

Qualcomm AI Research Innovates 3D Perception Techniques

The trick of AI at the edge is reducing complexity while maintaining accuracy. And that takes a lot of primary research. When we explored the eight “AI Firsts” from Qualcomm AI Research earlier this year, it was clear to us the company’s full-stack approach to AI...

NVIDIA And Intel Publish First GPT3 Benchmarks; AMD, AWS, And Google Are MIA

Let’s look into the results and explore why so many competitors chose not to play ball. Those who follow me know the drill: MLCommons publishes benchmarking results every 3 months, alternating between inferencing and training. Then I explain the results and whine...

NVIDIA AI Runs The Mlperf Table Again

Today, the industry standard AI benchmarking group, mlperf, released its 3rd raft of submissions for training AI networks, and just like the first two releases, NVIDIA swept a sparse competitive field in the category of commercially available hardware and software....