Cost and speed
Building Blocks for Foundation Model Training and Inference on AWS
Our short summary of Hugging Face’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on huggingface.co (opens in a new tab)Problem
Running huge foundation models on AWS was expensive and hard to manage.
Solution
They created a layered stack with AWS compute, Slurm/Kubernetes orchestration, PyTorch/JAX training, and Prometheus/Grafana monitoring to use resources efficiently.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on huggingface.co (opens in a new tab)