# Hugging Face — Building Blocks for Foundation Model Training and Inference on AWS

- Company: Hugging Face (huggingface.co)
- Announced: 2026-05-11T23:18:26+00:00
- Subject: Platform
- Source: https://huggingface.co/blog/amazon/foundation-model-building-blocks
- Record: https://forck.live/items/1505-building-blocks-for-foundation-model-training-and-inference-on-aws

The article discusses the infrastructure requirements for foundation model training and inference on AWS, focusing on compute, network, and storage building blocks, and how they integrate with open-source software stacks across the model lifecycle.

## Evidence

Verbatim from https://huggingface.co/blog/amazon/foundation-model-building-blocks:

> This post is intended for machine learning engineers and researchers involved in foundation model training and inference, with particular attention to workflows built atop OSS frameworks. It analyzes how AWS infrastructure—including multi-node accelerator compute, high-bandwidth low-latency networking, distributed shared storage, and associated managed services—interacts with common OSS stacks across the foundation model lifecycle.

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