Fireworks AI(@FireworksAI_HQ)
Rollouts drive most of RL's compute cost. But splitting rollout and training across engines risks nu...
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Fireworks on X: "Rollouts drive most of RL's compute cost. But splitting rollout and training across engines risks numer...
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打开原文Fireworks on X: "Rollouts drive most of RL's compute cost. But splitting rollout and training across engines risks numerical mismatches, and in MoE models, that can even send tokens to different experts. We co-build both engines at Fireworks, so training stays fast and consistent. Learn more: htt… / X
Fireworks
@FireworksAI_HQ
Rollouts drive most of RL's compute cost. But splitting rollout and training across engines risks numerical mismatches, and in MoE models, that can even send tokens to different experts. We co-build both engines at Fireworks, so training stays fast and consistent. Learn more:
bit.ly/4ALjga5
Reinforcement learning: Why alignment of numerics and MoE routing matter
From fireworks.ai
10:43 PM · Oct 1, 2026
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