Baseten Loops SDK

Introduces Baseten Loops, a new SDK specifically designed for scaling Reinforcement Learning (RL) post-training. It addresses challenges in current RL infra by abstracting hardware, simplifying the train-to-deploy loop (including LoRA merging and quantization), enabling asynchronous and bounded off-policy RL for seamless training/sampling overlap, supporting long-context RL (131K+ sequence lengths), and providing predictable performance through dedicated infrastructure. It aims to make frontier-scale RL accessible to ML teams.