# Deploy frontier AI models on AWS Trainium with SGLang-Neuron

DevFeed: [Deploy frontier AI models on AWS Trainium with SGLang-Neuron](<https://devfeed.tech/articles/deploy-frontier-ai-models-on-aws-trainium-with-sglang-neuron-130933.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/deploy-frontier-ai-models-on-aws-trainium-with-sglang-neuron/>)

Author: Alex Nails

Published: 2026-11-12T22:03:34Z

Content type: article

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [AWS Trainium](<https://devfeed.tech/topics/aws-trainium.md>), [neuron](<https://devfeed.tech/topics/neuron.md>), [AWS AI chips](<https://devfeed.tech/topics/aws-ai-chips.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-chips](<https://devfeed.tech/tags/ai-chips.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [ai-training](<https://devfeed.tech/tags/ai-training.md>), [ai-training-and-inference](<https://devfeed.tech/tags/ai-training-and-inference.md>), [amazon-ec2](<https://devfeed.tech/tags/amazon-ec2.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-trainium](<https://devfeed.tech/tags/aws-trainium.md>), [container](<https://devfeed.tech/tags/container.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [deploy](<https://devfeed.tech/tags/deploy.md>), [frontier](<https://devfeed.tech/tags/frontier.md>), [frontier-ai](<https://devfeed.tech/tags/frontier-ai.md>), [frontier-ai-models](<https://devfeed.tech/tags/frontier-ai-models.md>), [models](<https://devfeed.tech/tags/models.md>), [neuron](<https://devfeed.tech/tags/neuron.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [serve](<https://devfeed.tech/tags/serve.md>), [sglang](<https://devfeed.tech/tags/sglang.md>), [trainium](<https://devfeed.tech/tags/trainium.md>)

## AI overview

SGLang-Neuron brings SGLang serving and reinforcement-learning rollouts to AWS Trainium through an AWS Deep Learning Container, while retaining SGLang's server interface and generation APIs. The out-of-tree plugin selects the Neuron platform with `SGLANG_PLATFORM=neuron`; SGLang core handles the API server, scheduler, request lifecycle, RadixAttention, and prefix-cache bookkeeping, while the plugin supplies Trainium-specific execution. It uses native PyTorch operations and Neuron Kernel Interface kernels compiled with `torch.compile`. For PD disaggregation, a prefill server transfers prompt KV cache to a decode server using NIXL over EFA. The walkthrough uses a Trainium3 EC2 instance and the `pytorch-inference-sglang-neuronx` container; supported models, features, and validated configurations are documented in the project resources.

## Source excerpt

SGLang-Neuron is now publicly available through an AWS Deep Learning Container. With SGLang-Neuron, you can serve models and generate reinforcement learning rollouts with SGLang on AWS Trainium using the same SGLang interface you already know, all running on native PyTorch.