▶ 20:54 · $CURSOR · Cursor adopts Parallel Kittens for training Composer on tens of thousands of Blackwell GPUs

episode briefing

Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club

2026-07-29 · 8 company · 15 thematic

sentiment

7 bull0 bear1 neu

speakers

CTO of AMD, leading chip design using thousands of AI sub-agents; sees agentic AI driving 1:1 CPU:GPU ratio and transforming end-to-end workflows.

john

Launched a YouTube channel around 2020 focused on Silicon Valley history, reached ~500K subscribers; treats media as a blog/hobby rather than a business; co-hosts TBPN podcast interviewing entrepreneurs.

misha

Misha (Mishas Manski) spent two decades on hardware-software co-design, most recently running AI infrastructure at NVIDIA and working on co-design at Meta. He recently joined Marlo to build workload-optimized heterogeneous inference infrastructure.

stuart

Stuart is a CS PhD student at Stanford and researcher at Cursor where he trains the Composer model. He developed Parallel Kittens, a CUDA framework for multi-GPU kernels, and Thunder Kittens for single-GPU kernels.

quote

“PK has been adopted by major AI companies. For example, cursor is using it to train composer on tens of thousands of black wall GPUs”

—stuart

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