The Latest News in AI

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

Our Year-End Newsletter

With the end of the year at hand, we first want to thank you for being a follower of Cambrian-AI Research, and share a few thoughts about the industry. Our community has grown tremendously thanks to you reading our many blogs on Forbes. EE Times, and on this...

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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...

IBM Invests In AI Hardware

While the IBM hardware business today is limited to POWER and Mainframe chips and systems, the technology giant is quietly building its expertise and capabilities in AI hardware. Where this could end up is anybody’s guess, but here are a few thoughts about what IBM is...

Cerebras Gets Into The Inference Market With A Bang

Cerebras’ Wafer-Scale Engine has only been used for AI training, but new software enables leadership inference processing performance and costs. Should Nvidia be afraid? As Cerebras prepares to go public, it has expanded its target markets and competitive stance by...

Eight Takeaways From NVIDIA GTC

New Hopper GPU, Grace Superchips, New OGX Server for Omniverse, Faster networking, New DGX Servers & Pods, Enterprise AI Software, 60 updated SDKs, Next-Gen Hyperion Drive, Omniverse Cloud, ... I could go on and on! But neither of us has the time, so... GTC always...

IBM And Rapidus Will Collaborate To Build 2nm Chips In Japan.

IBM, who invented the tech everyone will use to create 2nm silicon, is partnering with Rapidus to bring it to market The world now realizes that major economies need to have reliable and secure access to semiconductors, the heart of the digital economy, not to mention...

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...

Synopsys.ai: New AI Solutions Across The Entire Chip Development Workflow

Synopsys has added AI-based Verification and Test to its already-successful Design solution, DSO.ai, with more to come. Three years ago, Electronic Design Automation (EDA) solution provider Synopsys took the bold step to add reinforcement learning to its chip design...

Eliyan Technology May Rewrite How Chiplets Come Together

Company’s interconnect eliminates the need for expensive interposers, accelerating AI processing; could double the amount of memory for AI like ChatGTP, saving millions. Artificial Intelligence is finally having its iPhone moment. The launch of ChatGPT led to waves of...

Synopsys Has Helped Over 100 Clients Use AI To Accelerate Chip Design

The company’s DSO.AI is helping chip designers run more experiments, make smaller chips, and speed performance. Three years ago, EDA vendor Synopsys started helping clients use reinforcement learning, an AI technique, to accelerate and improve physical chip layout...

Synopsys Touts Smart “DesignDash” To Help Accelerate Chip Projects

Many chip design teams use internally developed tools or a mix of vendor tools to manage the development workflow. Now Synopsys is applying ML and Big Data analytics to inform a comprehensive dashboard to improve productivity and the end-to-end design process. Every...