Cambrian-AI Research LLC

Cambrian-AI Research LLC

With extensive experience in the field, Karl Freund has performed strategic evaluations, offered investment analysis, and authored numerous blogs and research articles. Our expertise lies in simplifying intricate technology concepts into clear and engaging narratives.

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  • 2 weeks ago | cambrian-ai.com | Karl Freund

    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 phones. (Among many other semiconductor vendors in the AI space, Nvidia is a client of my firm, Cambrian-AI Research).

  • 1 month ago | cambrian-ai.com | Karl Freund

    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 massive accelerators and infrastructure to support this trend. I suspect we will see more from Nvidia about inference next week than training, including clouds, robots, and cars.

  • 1 month ago | cambrian-ai.com | Karl Freund

    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 rationale for HAV and look into the two new systems.

  • 1 month ago | cambrian-ai.com | Karl Freund

    Discussions about Deep Seek’s impact on Nvidia is everywhere. Yesterday, I heard an investor on CNBC’s “Fast Money” program pontificate that Deep Seek and its disruptive technology mean that “Nobody needs an Nvidia H100 anymore,” much less a Blackwell. I struggle to square that with Jensen Huang’s claim that the inference task will require 100 times more compute power, which could overwhelm any potential reduction in training systems.

  • 1 month ago | cambrian-ai.com | Karl Freund

    In this installment of the Silicon Futures...

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