Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughput

Amazon EKS, EFA, and DeepEP boost Mixture‑of‑Experts reinforcement learning throughput by 40%. The post details an architecture that stitches together Amazon EKS, Elastic Fabric Adapter, and Amazon S3 with DeepEP, achieving a 40 % increase in aggregate rollout throughput for large‑scale RLHF and GRPO training. This means AI developers can train complex RL models faster and more cost‑effectively on AWS.

Opening Kapyn…