AWS details 40% MoE reinforcement learning scaling on Amazon EKS
A 40% rollout throughput gain comes from pairing EFA with DeepEP, meaning the bottleneck for MoE RLHF was inter-node communication rather than GPU compute. Teams running GRPO or RLHF pipelines on Kubernetes can replicate the EKS + EFA + S3 setup directly. The write-up also serves as a reference for comparing managed EKS clusters against self-built multi-node RDMA training stacks.