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!”

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...

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Synopsys Creates Cloud OpenLink For Cross-Vendor EDA Collaboration

When you put a chip project in the hands of a cloud service like Synopsys Cloud, how do you integrate the “other” vendor tools in your EDA workflow? That's the question Synopsys is trying to answer. Synopsys launched its Synopsys Cloud offering last year and is seeing...

IBM Research Touts AI Supercomputer For Foundation AI

IBM has built a supercomputer, named Vela, in the IBM Cloud to help its scientists create and optimize new AI models.AI needs a lot of horsepower. IBM AI Research, which has been investigating new digital and analog processor technologies to speed the calculations AI...

The Case for Hardware-Assisted Verification in Complex SoCs

This article was first published in EE Times. Synopsys recently launched two new hardware-assisted verification (HAV) systems, intended to address the need for specialized hardware to manage the complexity of modern chip design. In this article, we look at the...

AI Is Reshaping Chip Design. But Where Will It End?

Using AI reduces design costs, improves yields and performance, and shortens time-to-market for better chips. Synopsys, Cadence Design Systems, and many hyperscal chip designers are now adopting generative AI capabilities to facilitate chip design. Think of this as...

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....

AMD Claims MI300X Is The World’s Fastest AI Hardware

The hardware looks quite capable, but the software optimization story has a long way to go to get close to Nvidia. But given the current demand/supply imbalance, I suspect AMD can sell all they can make. AMD launched the MI300 in San Jose to an anxious audience of...

Who Needs Big AI Models? Amazon Web Services Using Cerebras Hardware

The AI world continues to evolve rapidly, especially since the introduction of DeepSeek and its followers. Many have concluded that enterprises don't really need the large, expensive AI models touted by OpenAI, Meta, and Google, and are focusing instead on smaller...

The 2024 AI HW Summit: Here’s What Caught My Attention

The Summit drew over 1000 attendees this year, with scores of presentations and hundreds of AI leaders from large companies as well as many startups. Every September since 2019, the AI HW Summit in the Bay Area has been the focal point for new technologies around AI....

IBM Research Secures Future Safe From Quantum Attacks

Quantum computing will bring unimagined innovations to the world when it finally arrives in full glory. Still, quantum remains in the research labs at companies like IBM, Google, and Microsoft. While companies and research institutions are investing billions of...

The NewReality: Fast Inference Processing For 90% Less?

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...