This piece kicks off a new series on robotics. I’ll walk through the key ideas from first principles, starting with computer vision, and explain how GenAI changes what’s possible in robotics. Note that I’m pulling on some other ongoing threads on Chipstrat, so after this post, we’ll take a break from technical topics and cover…

Hey everyone! I was off the grid last week while attending Intel Vision. It was a significant moment for me, witnessing Intel CEO Lip-Bu Tan’s first public appearance at my inaugural event as an analyst: I had face-to-face meetings with executives, discussing the expected topics and some unexpected topics. What I learned at Intel Vision…

One thing stood out in NVIDIA’s GTC Financial Analyst Q&A: CEO Jensen Huang didn’t feel heard. His tone and demeanor suggested he was frustrated that his message wasn’t landing. Watch the event from ~12:03 to 13:00 or so in the video here. Jensen Huang: And we’re not just building a chip, we’re building networkings and switches…

We’re going to very gently discuss networking and GPUs. It’s an important topic, but it can feel boring or esoteric. Hang with me! Motivation Training an LLM requires a lot of floating point operations (FLOPs): Source How long to train these models? If a single GPU can produce about 2 PetaFLOP/s (2 * 10^15 floating…

Remember Jan 27th when Nvidia lost half a trillion dollars in market cap? An inconspicuous table buried in a paper played a key role: What did this paper actually say? Welcome to the third and final post in a series looking at DeepSeek. Let’s think things through from first principles. We can talk about misplaced investor panic…

Nvidia’s 2025 earnings call was more revealing than it seemed. Is cost-per-token now the key battleground for AI infrastructure? Why is Nvidia pushing Ethernet, and what does that mean for Infiniband? What happens to aging GPUs? We’ll also explore Nvidia’s positioning against AI ASICs, revenue concentration risks, and whether AMD’s modularity can still be a…