Distributed Training & GPU Infrastructure
Parallelism strategies, collective communication, checkpointing, and the GPU/network economics that decide what's actually trainable.
Architect · 12 questions · 16 min
Question 1 of 12Answered: 0 / 12
On a single 8x H100 node connected by NVLink, you're training a 30B model. Which configuration is typically most efficient?