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NVIDIA NeMo RL supports FP8 low-precision reinforcement learning post-training, accelerating agent iteration.

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ME News report, April 23 (UTC+8), NVIDIA AI recently announced that its open-source library NVIDIA NeMo RL has added a new capability to support reinforcement learning (RL) post-training using low-precision FP8 format, accelerating related computational workloads. According to the released information, using the FP8 format on the Qwen3-8B-Base model can increase RL workload speed by 1.48 times. This acceleration aims to achieve faster iteration cycles for agent tool use and multi-step tasks. (Source: InFoQ)
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