KVCache.AI(@KVCache_AI):Excited to team up with @radixark to make large-scale RL data movement faster 🚀 Miles is built for high-performance, large-scale post-training, and Mooncake is now integrated as a rollout data-transfer backend for the fragmented, heterogeneous data moving between rollout and training in disaggregated RL. On rollout data captured from Miles: ⚡ 10–14× faster remote GET ⚡ 1.2–1.6× faster PUT By turning fragmented rollout objects into efficient bulk I/O while preserving their original structure, Mooncake helps reduce rollout-to-training handoff latency without changing the RL programming model. Read more:

2026.08.20 16:27

Excited to team up with @radixark to make large-scale RL data movement faster 🚀 Miles is built for high-performance, large-scale post-training, and Mooncake is now integrated as a rollout data-transfer backend for the fragmented, heterogeneous data moving between rollout and training in disaggregated RL. On rollout data captured from Miles: ⚡ 10–14× faster remote GET ⚡ 1.2–1.6× faster PUT By turning fragmented rollout objects into efficient bulk I/O while preserving their original structure, Mooncake helps reduce rollout-to-training handoff latency without changing the RL programming model. Read more:

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