AWS와 Hugging Face, 파운데이션 모델 확장용 인프라 상세 공개
hugging face와 aws의 새로운 기술 게시물은 대규모 학습을 위해 pytorch, kubernetes 같은 오픈소스 스택을 p5 및 p6 gpu 인스턴스를 포함한 aws 인프라에 매핑합니다.
hugging face released the first post in a series analyzing the architecture required for foundation model training and inference on aws. the guide explains how three critical infrastructure layers—accelerated compute, high-bandwidth networking, and distributed storage—integrate with open-source software stacks including slurm, jax, and prometheus. it highlights specific aws instance families, confirming the p5 family's reliance on nvidia h100 and h200 chips and introducing the p6 family featuring the blackwell b200 and b300 architectures. the series aims to help engineers identify system bottlenecks and optimize resource orchestration across distributed clusters.