The Latest News in AI

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

Qualcomm Is Rightly Proud Of Its New AI Hub

The mobile chip giant has released a new App Store for AI developers, with over 75 models in its “zoo” and support for every modern Snapdragon chip. Have you ever tried to stand up the infrastructure and software required for inference processing? It is complicated....

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Synopsys Announces New AI-Driven Solutions

Synopsys CEO Sassine Ghazi takes the stage for the first time as CEO at SNUG, joined by Nvidia CEO Jensen Huang to discuss the companies’ collaboration and much more. I never knew how close Synopsys and Nvidia were! Apparently, according to Jensen, Synopsys delivered...

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Qualcomm Becomes A Mobile AI Juggernaut.

As we approach Nvidia GTC, its worth noting that there is another player in town. Or south of town, in San Diego: Qualcomm. The company has been building AI expertise and technology for over a decade, and we believe its lead over mobile rivals in both AI hardware and...

Intel Focusses On AI At Big Event, And For Good Reasons

Intel has a multi-prong AI strategy. The company announced the AI PC and Intel Xeon Gen5 with excellent AI performance and TCO. Intel announced new products for desktops and servers, and the focus for both was AI, where Intel has a commanding lead over the...

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...

If The Arm Deal Fails, NVIDIA Is Fine, But Arm May Struggle

European regulators are again expressing concerns about the impact on competition. But the alternatives for Arm could be worse. NVIDIA does not need to acquire Arm to keep growing like a weed. The acquisition would add to NVIDIA’s revenue and growth, to be sure, but...

Synopsys Laps Competition With Second Generation AI

EDA Leader Synopsys paints path to Software-Designed Si Last year, EDA leader Synopsys announced it had developed an AI chip design instrument called DSO.ai that could produce faster, lower cost, and more power-efficient chips by using an AI to figure out how to best...

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...

BrainChip Sees Gold In Sequential Data Analysis At The Edge

Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine with that. With all the buzz around LLM generative AI, it is understandable...

NVIDIA L40S: A Datacenter GPU For Omniverse And Graphics That Can Also Accelerate AI Training & Inference

I’m getting a lot of inquiries from investors about the potential for this new GPU and for good reasons; it is fast! NVIDIA announced a new passively-cooled GPU at SIGGRAPH, the PCIe-based L40S, and most of us analysts just considered this to be an upgrade to the...

Is The AMD GPU Better Than We Thought For AI?

MosaicML, just acquired by DataBricks for $1.3B, published some interesting benchmarks for training LLMs on the AMD MI250 GPU, and said it is ~80% as fast as an NVIDIA A100. Did the world just change? To be brutally honest, everyone wants to see a fight, between AMD...

Xilinx Enters The SmartNIC Market

The CPU in today’s data center is increasingly burdened by the need to process networking jobs. According to Xilinx’s VP Marketing for Data Center Products, Donna Yasay, networking stacks can tax CPUs up to 30%, robbing them of the cycles needed to run users’...