# Molt: Training Agents the Right Way

> NVIDIA's PyTorch-native agentic RL framework runs the full training loop as an ordinary Python program with ~8.6K RL LOC. It enforces three correctness invariants by construction, achieves 5x faster generation via speculative decoding, and matches Megatron-based throughput at 461 tokens/GPU/second.

Canonical URL: https://kravhal.kcsatish.com/insights/week-43
Edition: Week 25
Tags: Agents, Reinforcement Learning, Deep Learning
Reading time: 8 min read

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