Charles Frye

Developer Advocate, Modal Labs

Charles teaches people to build data, ML, and AI applications. He got his PhD from the University of California, Berkeley, in 2020 for work on the geometry of neural network optimization. He has since worked as an educator and evangelist for neural network applications at Weights & Biases, Full Stack Deep Learning, and now Modal Labs.

Sessions

Infrastructure Talk
What every AI engineer needs to know about GPUs
Wed 4 Jun, 11:15 – 11:35·Foothill F: Infrastructure
Expo Sessions Talk
How fast are LLM inference engines anyway?
Wed 4 Jun, 12:45 – 13:00·Juniper: Expo Sessions