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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Articles
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4 weeks ago |
cambrian-ai.com | Karl Freund
After only 14 days on the job, Monday was showtime for Intel’s newest CEO, Lip-Bu Tan. During his keynote at the Intel Vision event in Las Vegas, Mr. Tan reiterated the messages communicated in his shareholder letter two weeks ago. He wants to focus Intel on engineering, build a humble culture that learns quickly from mistakes, and, most importantly, listen carefully to its customers. And he will certainly get an earful from customers who, while frustrated, want Intel to succeed.
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4 weeks ago |
cambrian-ai.com | Karl Freund
Everyone is not just talking about AI inference processing; they are doing it. Analyst firm Gartner released a new report this week forecasting that global generative AI spending will hit $644 billion in 2025, growing 76.4% year-over-year. Meanwhile, MarketsandMarkets projects that the AI inference market is expected to grow from $106.15 billion in 2025 to $254.98 billion by 2030.
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1 month 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).
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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.
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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.
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