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Reinforcement learning (RL) post-training increasingly targets low-bit deployment, with NVFP4 weight-and activation quantization (W4A4) becoming the state-of-the-practice format. However, integrating NVFP4 into RL degrades rollout quality and amplifies cross-engine training-inference mismatch (TIM), destabilizing train...
LLM agents automate GPU kernel optimization by repeatedly composing candidates and measuring their duration on real GPUs. Existing systems preserve measurement fidelity by reserving a GPU for an entire agent session or benchmarking command. However, this results in poor utilization because only a small fraction of comm...
AgentPProf is a profiler that aggregates agent trajectories into pprof-compatible profiles, enabling flame graph visualization and analysis and introduces recursive operation segmentation, which recursively splits trajectories at task boundaries.
W EAVE is a cluster scheduling framework built on the insight that the structural idleness of one job can be effectively utilized by the active phase of another, and introduces the co-execution group abstraction, which partitions the cluster into isolated locality domains.
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