AWS outlines how foundation model scaling is moving past pre-training into post-training and test-time compute, with infrastructure implications for each stage. The piece is useful for engineers tracking where compute, data, and orchestration bottlenecks are shifting in modern model development.
AWS detailed how foundation model scaling has shifted beyond pre-training into post-training and test-time compute, alongside the distributed infrastructure required to support each stage efficiently.