Infrastructure→Official→Amazon Science

AWS Data Centers Explore Flat Networks with ShuffleBoxes for Efficiency

Amazon Science reports that AWS is exploring the use of flat network topologies in its data centers, utilizing quasi-random designs and new passive optical components called ShuffleBoxes. These innovations aim to make flat networks as practical and efficient as traditional fat-tree networks.

Why it matters: This development could improve data center network efficiency and potentially reduce costs for cloud computing infrastructure.

Jul 10, 2026

Infrastructure→Official→Hugging Face Blog

Hugging Face and AWS Release Building Blocks for Foundation Model Training and Inference

Hugging Face published a blog post outlining building blocks for training and inference of foundation models on AWS. The post describes infrastructure and tools designed to streamline these processes, highlighting the collaboration between Hugging Face and AWS.

Why it matters: This offers developers and enterprises practical resources to efficiently train and deploy large AI models on AWS using Hugging Face's ecosystem.

Jul 10, 2026