The Latest News in AI

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

Why Can’t NVIDIA Be Bested In MLPerf?

MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies...

Is Jensen Huang Nvidia’s Chief Revenue Destruction Officer?

At this year's GTC event in San Jose, Nvidia CEO Jensen Huang held over 25,000 people in the palm of his hand, captivated by his vision of AI and how it could transform the world we live in. Some folks in the audience couldn't keep up and started fiddling with their...

SiFive Is Leading The Way For Innovation On RISC-V

The company appears well positioned to challenge CPU incumbents with high performance RISC-V CPUs and Vector Extensions to the open ISA architecture. The RISC-V CPU Instruction Set Architecture (ISA) is emerging as a serious challenger to current CPUs based on...

Intel, GraphCore And Groq: Let The AI Cambrian Explosion Begin

As we approach the end of a year full of promises from AI startups, a few companies are meeting their promised 2019 launch dates. These include Intel, with its long-awaited Nervana platform, UK startup Graphcore and the stealthy Groq from Silicon Valley. Some of these...

NVIDIA Earth-2: Leveraging The Omniverse To Help Understand Climate Change

Cambrian-AI Analyst Alberto Romero contributed to this article. One of the greatest challenges humanity faces today is climate change. Although changes in climate occur naturally, during the last 200 years human activities have directly influenced the otherwise normal...

Q2 Competitive Update: The AI Cambrian Explosion Rolls On

A lot of new AI Silicon and Software has been announced since March and it can be tough to keep track of it all. To help users, vendors, and investors keep track, our June Competitive Landscape Report is now available, and for a limited time, the ~70-page report is...

As we said, Google is the Exception to the Rule!

The latest TPU and the upcoming Ironwood supercomputer were just the start Google is taking the next step in its quest to become a serious challenger to Nvidia GPUs. As I recently noted in my post on CSP silicon costs and failures, Google is the exception. Google...

Meta Builds World’s Largest AI Supercomputer With NVIDIA For AI Research And Production

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...

Nvidia Announces Rubin CPX GPU To Speed Long-Context AI

In an industry-first, Nvidia has announced a new GPU, the Rubin CPX, to offload the compute-intensive “context processing” off another GPU. Yep, now, for some AI, you will need two GPUs to achieve maximize performance and profit. I would be surprised if the...

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...