AWS Machine Learning Blog· Ashvin Nihalani·· 6 d ago
Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughput
Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughput
AI summary
AWS presents an architecture combining EFA and DeepEP on Amazon EKS to scale MoE reinforcement learning training, increasing throughput by 40%.
Selection record
Threshold 60Official, first-handFirst 31Second 34
Not admittedSum of both 65 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：MoE强化学习训练与DeepEP优化，实质AI技术
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com