Deploy frontier AI models on AWS Trainium with SGLang-Neuron

Today, Amazon announced that SGLang-Neuron is publicly available and can be accessed through an AWS Deep Learning Container, released by RadixArk in collaboration with Annapurna Labs. With SGLang-Neuron, you can serve models and generate reinforcement learning (RL) rollouts with SGLang on AWS Trainium using the same SGLang interface you use today. Trainium is a portfolio of AWS AI chips that delivers strong economics for AI training and inference at scale. Now, running SGLang on Trainium follows the SGLang workflow you already know: you launch models through SGLang’s server interface and invoke the endpoint using the same generation APIs. Underneath that interface, SGLang-Neuron runs on native PyTorch. With its out-of-tree…