While virtualized compute is the foundation of cloud computing, enabling all that compute to transmit data is the job of the network. So how does the world’s largest cloud scale its network to meet the increased demands of AI?
At the AWS re:Invent conference this week, the cloud giant detailed a series of enhancements to its network infrastructure aimed at handling those challenges. The networking infrastructure innovations are designed to support the demanding requirements of modern AI workloads, including new interconnect technologies, routing protocols and network cabling improvements.
These networking breakthroughs come at a crucial time, as AWS prepares to deploy Project Rainier, a massive AI training cluster containing hundreds of thousands of new Trainium2 chips that will power the next generation of Anthropic’s Claude AI models. The network bandwidth requirements of AI workloads are vastly larger than typical cloud workloads.
“A great AI network shares a lot in common with a great cloud network, …