

Lambda
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⚙️ New podcast episode: Robert Brooks IV of Lambda In this episode of The Deep View Conversations, we talked with Brooks, Lambda's chief commercial officer, about the massive AI infrastructure buildout now underway. Lambda’s mission is to build supercomputers for superintelligence. But Brooks argues that the story is bigger than GPUs, data centers, and rising demand. It is about why compute is becoming one of the most strategically important resources in the AI economy, and why Lambda believes compute is not a commodity. The conversation goes deep on Lambda’s vision for democratizing AI, why the company invests in research, and how its experience building physical infrastructure shapes what it can offer AI labs, hyperscalers, enterprises, and researchers. Topics covered include: + Why Lambda thinks “one GPU per person” is achievable + The hidden complexity behind modern AI data centers + Why compute demand keeps surprising the industry + His $40,000 robot experiment and what it taught him about the future of work + How AI is changing the way leaders spend their time If you want to better understand the physical and economic foundations powering the AI boom, this conversation is worth your time. 📺 Watch on YouTube: youtube.com/watch?v=BvnQb0… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/44-ho… Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology. And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com






Hudson River Trading is partnering with Lambda to accelerate quantitative research and development. Lambda will help power @WeAreHRT's research roadmap with a full-stack architecture, including @nvidia HGX B200 systems, advanced networking, storage, orchestration, and uptime. Read more: lambda.ai/blog/lambda-pa…


Apparently 30+ of you agree. Things are slower come August/September, TBD. Would still be maven, cheaper, smaller, and with some lambda compute. But we’ll do something fun.




