Determinism and Scalability of the Miles RL Framework Across Hardware Platforms

Published on 14 May 2026, 16:52

Speakers:
Liz Li, Principal AI Engineer, AMD
Yusheng Su, Member of Technical Staff, RadixArk

Talk Abstract: Building an RL framework requires careful consideration of both stability and efficiency during training. In this talk, Yusheng from RadixArk will present key challenges in RL systems and explain how the Miles framework ensures deterministic training while maintaining scalability. The session will highlight the core design principles and features of Miles, including its support for determinism, scalability, and fault-tolerant protection. These capabilities enable more reliable RL training at scale, ultimately addressing the needs of frontier labs and real-world production environments.

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