The Latest News in AI

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

A Closer Look At Graphcore ML Performance

Greater scalability and new software increases performance by 50-fold over the last twelve months. Graphcore, the UK-based AI Unicorn, submitted a raft of new benchmarks to MLCommons in December, which we covered here. Performance improved significantly with the...

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NVIDIA Performance Trounces All Competitors Who Have The Guts To Submit To MLPerf Inference 3.0

But power matters, too. Qualcomm and SiMa.ai win in Edge Data Center and Embedded Edge respectively, while Neuchips wins in data center recommendations for power. Big News! There is a potential solution on the horizon to vastly broaden the field of benchmark...

A Look At Graphcore’s AI Software

Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, the unicorn provider of silicon for application acceleration, places significant emphasis on software, dedicating roughly half its...

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...

The US CHIPS Act Shines Spotlight On IBM Semiconductor Technology

The recent legislation creates an opportunity for IBM to play a pivotal role in a resurgent US semi industry. One day, soon I hope, I hope to write a story about IBM hardware without first correcting the misconception that the IT company has exited the hardware...

Intel Challenges AMD And NVIDIA With New AI Technologies Amid Renewed Developer Commitments

Upcoming CPU and GPU technologies require increased support for the development community, including eleven new development partners and new tooling. Concurrently, and not coincidently, Amazon announces availability of Intel Habana Gaudi on AWS. In 1997, Pat...

MLPerf Training 4.0: It’s All About Scale

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...

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...

Flex Sees Opportunities In The New AI Data Center

Data center cooling is hot. At least it’s becoming a hot market, with industry projections likely to increase as the Nvidia Blackwell GPU push increases the percentage of silicon that requires liquid cooling. Goldman Sachs estimates the server cooling market is...

Google AI Shot Heard Globally; Another Shoe Is About To Drop

The AI sphere is abuzz lately with news and rumors that the latest Google TPU, Ironwood, is powering the Gemini3 model, outpacing OpenAI on many metrics including intelligence and performance. Now, The Information, echoed by Bloomberg and CNBC, is reporting that...

D-Matrix AI Chip Promises Efficient Transformer Processing

Startup combines Digital In-Memory Compute and chiplet implementations for data-center-grade inferencing. This article was written by Cambrian-AI Analysts Alberto Romero and Karl FreundD-Matrix was founded in 2019 by two veterans in the field of AI hardware, Sid Sheth...