AWS Neuron
Amazon Web ServicesAWS Neuron is the SDK and runtime for running machine learning on AWS's custom Inferentia and Trainium accelerators (Inf1/Inf2 and Trn1/Trn2/Trn3 instances). Its compiler converts models from PyTorch and JAX into executables for the custom silicon, with serving through a vLLM plugin and a kernel-authoring interface (NKI). AWS distributes it as a separate SDK, publishing samples and some tooling on GitHub.
Openness
2 high confidence- license
- mixed/proprietary-core
- source
- partial(aws-neuron-sdk is a documentation and issue-tracker repo carrying no Runtime or Compiler source, while the kernel driver, NKI kernel library, vLLM-for-Neuron and NKI samples do ship as source)
- runtime
- proprietary(Neuron Runtime+Compiler not open sourced)
- open-glue
- Linux kernel driver(GPL-2.0),vLLM-Neuron integration(Apache-2.0,vllm-project org),NKI library,samples(MIT-0)
- hardware-lock
- AWS-Inferentia/Trainium-only
AWS Neuron installs and runs on the customer's own EC2 instances, but the Neuron Runtime and Compiler are not published: AWS's own open-source catalog lists six public repositories, and neither appears among them. An open kernel driver, kernel library and vLLM integration surround that closed core, rather than the whole SDK being closed.
- https://awsdocs-neuron.readthedocs-hosted.com/en/latest/about-neuron/what-is-neuron.html recorded 2026-09-23
Neuron Compiler and Neuron Runtime entries in the 'AWS Neuron Core Components' list carry no 'Open Source' bullet, unlike the Native PyTorch entry ('Open Source : Released as an open source package on GitHub under Apache 2.0') and the vLLM entry ('Open Source : Source code released under the vLLM project organization with source code on GitHub').
- https://awsdocs-neuron.readthedocs-hosted.com/en/latest/general/oss/index.html recorded 2026-09-23
AWS Neuron provides open source code and samples for some of its components, libraries, and tools under the Apache 2.0 license, and lists the public repositories open to contribution. The URL redirects to /about-neuron/oss/index.html, where the catalog lists exactly six public repositories -- TorchNeuron PyTorch Extension, Neuron Agentic Development, Neuron Explorer CDK, Neuron Kernel Library, vLLM for Neuron, NKI Samples -- and neither the Neuron Runtime nor the Neuron Compiler appears among them.
- https://github.com/aws-neuron/aws-neuron-driver recorded 2026-08-09
"license":{"spdxId":"GPL-2.0","name":"GNU General Public License v2.0"}
- https://github.com/aws-neuron/aws-neuron-sdk recorded 2026-08-11
"path":"LICENSE-DOCUMENTATION","preferredFileType":"license","tabName":"License" alongside "path":"LICENSE-SAMPLECODE",..."tabName":"MIT-0" -- repo carries a generic, GitHub-unclassified license for docs and a separate MIT-0 license for sample code, i.e. no single OSI license covers the SDK repo. The repo's top-level directories are .github, compiler, frameworks, deploy, general, libraries, neuron-runtime, neuron-customops, nki, release-notes, setup and tools -- the "compiler" and "neuron-runtime" directories hold documentation for those components, not their source. The repo points readers at the hosted Neuron SDK documentation site and carries an open issue tracker.
- https://github.com/vllm-project/vllm-neuron recorded 2026-08-09
"license":{"spdxId":"Apache-2.0","name":"Apache License 2.0"}
- https://raw.githubusercontent.com/aws-neuron/aws-neuron-driver/master/LICENSE recorded 2026-09-23
GNU GENERAL PUBLIC LICENSE Version 2, June 1991
Adoption
3 low confidenceAWS publishes no customer count, download count or usage figure for Neuron, and names no customers. What the page does show is integration breadth: native PyTorch and JAX support, plus Hugging Face Transformers, Optimum Neuron, vLLM, PyTorch Lightning and TorchTitan, without requiring code changes.
- https://aws.amazon.com/ai/machine-learning/neuron/ recorded 2026-09-29
The page says Neuron works "natively with PyTorch and JAX frameworks and with ML libraries such as HuggingFace, vLLM, PyTorch Lightning" and trains with "HuggingFace Optimum Neuron, PyTorch Lightning, and TorchTitan". It gives no customer count, download count or named customer; searched the body for customer, Anthropic, million and users.
Capability
4 medium confidenceNeuron delivers a server-class inference feature set on native PyTorch and JAX, but only for AWS's own Inferentia and Trainium hardware, and no MLPerf Inference benchmark result has been published for it.
- https://aws.amazon.com/ai/machine-learning/neuron/ recorded 2026-09-29
The page says "Standard vLLM V1 APIs work on Trainium and Inferentia with out-of-the-box high performance with features like Expert Parallelism, disaggregated inference, and speculative decoding".
- https://awsdocs-neuron.readthedocs-hosted.com/en/latest/about-neuron/what-is-neuron.html recorded 2026-09-29
The page says "The runtime supports Expert Parallelism for MoE models, disaggregated inference architectures, and speculative decoding." and "Full compatibility with vLLM V1 APIs".
Verified 2026-09-23