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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The Age of Chiplets is Upon Us

The idea of chiplets is simple: develop the best semiconductors for the needed functions using the most proper manufacturing process. Then combine an assortment of chiplets on a multi-die package, and voila! A lower-cost approach to advanced semiconductors. The...

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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...

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...

AMD Announces MI350 GPU And Future Roadmap Details

AMD held their now-annual Advancing AI event today in Silicon Valley, with new GPUs, new networking, new software, and even a rack-scale architecture for 2026/27 to better compete with the Nvidia NVL72 that is taking the AI world by storm. Let’s dive in! Net-Net...

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...

Amazon EC2 Inf1 Instances Now Support Amazon SageMaker

image: AWS Last year at AWS reInvent, out of the 100s of announcements, I chose the top 5 for overall, long-term impact. One of those was Amazon’s EC2 Inf1 Instances that used its new Inferentia machine learning inference chip. I chose Inf1 Instances as a top 5 for a...

Big AI Inference Has Become A Big Deal And A Bigger Business

Thanks to innovations like DeepSeek, training AI has become cheaper. However, inference is becoming more demanding as we ask AI to think harder before answering our questions. Nvidia, Groq, and Cerebras Systems (clients of Cambrian-AI Research) have all released...

GrAI Matter Labs: Brain-Inspired AI For The Edge

This article was written by Alberto Romero, Cambrian-AI Analyst, and Karl Freund, Cambrian-AI Founder.We recently tweeted about the startup GrAI Matter Labs (GML) and received a lot of questions about the company’s products and strategy. As one of the first startups...

Meta Enters The Token Business, Powered By Nvidia, Cerebras And Groq

Meta held its first-ever event for AI developers, LlamaCon, at the company’s headquarters in Menlo Park, where it announced that it was ready to compete with ChatGPT from OpenAI, as well as Google, AWS, and AI-as-a-service startups. This is really a big deal for Meta...

Why Nvidia Is Entering The $30B Market For Custom Chips

Nvidia’s largest customers (e.g., Google, Amazon, Microsoft, Meta, and OpenAI) are developing AI chips that compete with Nvidia, presenting a potential long-term threat to the AI leader. Jensen’s response? “We can help you do that.” Warning: this blog contains...

NVIDIA Keeps The Performance Crown For AI Inference For The 6th Time In A Row

In The Data Center And On The Edge, the bottom line is that the H100 (Hopper-based) GPU is up to four times faster than the NVIDIA A100 on the newly released ​MLPerf V2.1 benchmark suite. The A100 retains leadership in many benchmarks versus other available products...