This document is relevant for: Inf1, Inf2, Trn1, Trn2, Trn3

AWS Neuron News and Blogs#

Stay up to date with the latest news, announcements, and technical blog posts about AWS Neuron, AWS Trainium, and AWS Inferentia. Discover customer success stories, performance benchmarks, best practices, and deep dives into machine learning acceleration on AWS.

News & Blogs#

Explore the latest news, press releases, and industry coverage about AWS Neuron, Trainium, and Inferentia.

AWS Neuron 関連記事まとめ

AWS Neuron エコシステムに関する自身が作成した一連の技術記事のインデックス

Published on: 2026-02-20 | 🇯🇵 (Japanese)

Nota AI가 제안하는 AWS Inferentia에서 다양한 LLM 모델 양자화 최적화기법 사용하기

Nota AI가 제안하는 AWS Inferentia에서 LLM 모델 양자화 최적화 기법.

Published on: 2026-01-20 | 🇰🇷 (Korean)

【AWS re:Invent 2025 速報】AWS 自社設計 AIチップ AWS Trainium3 の全貌

AWS re:Invent 2025で発表されたAWS Trainium3カスタムAIチップの完全な概要をお届けします。

Published on: 2025-12-06 | 🇯🇵 (Japanese)

Red Hat to Deliver Enhanced AI Inference Across AWS

Red Hat and AWS expand collaboration to power enterprise-grade generative AI using Red Hat AI Inference Server on AWS Inferentia2 and Trainium3.

Published on: 2025-12-02 | 🇺🇸 (English)

Run cost-effective AI workloads on OpenShift with AWS Neuron Operator

How to use the AWS Neuron Operator to run LLM inference with vLLM on AWS AI chips in Red Hat OpenShift.

Published on: 2025-12-02 | 🇺🇸 (English)

AWS Neuron Operator for AI Chips on AWS — GitHub Releases

Open-source AWS Neuron Operator for Kubernetes and Red Hat OpenShift, enabling native support for AWS Inferentia and Trainium accelerators.

Published on: 2025-12-02 | 🇺🇸 (English)

Red Hat AI Inference Server — vLLM Neuron Container Image (RHEL 9)

Certified container image for the Red Hat AI Inference Server with vLLM optimized for AWS Inferentia and Trainium accelerators via the AWS Neuron SDK. Provides enterprise-grade, high-performance LLM inference serving on RHEL 9, enabling production deployment of generative AI models on AWS AI chips through Red Hat OpenShift or Podman.

Published on: 2025-12-02 | 🇺🇸 (English)

【AWS Trainium 50本ノック #0】はじめに

AWS Trainium 50本ノックシリーズの紹介 - 入門ガイド。

Published on: 2025-11-18 | 🇯🇵 (Japanese)

基于 HAMi 实现亚马逊云科技 Trainium 与 Inferentia 核心级共享与策略性拓扑调度

基于 HAMi 实现亚马逊云科技 Trainium 与 Inferentia 核心级共享与策略性拓扑调度。

Published on: 2025-11-06 | 🇨🇳 (Chinese)

「Syn Pro」開発レポート：AWS TrainiumとRFTによる高性能日本語LLMの実現

AWS TrainiumとRFTを使用した高性能日本語LLMの構築に関する開発レポート。

Published on: 2025-10-24 | 🇯🇵 (Japanese)

AWS Inferentia2 + Llama 3.2 にできること

AWS Inferentia2とLlama 3.2モデルでできることを紹介します。

Published on: 2025-09-30 | 🇯🇵 (Japanese)

AWS Inferentia2とvLLMでLlama 3.2の推論サーバーを構築する手順

AWS Inferentia2とvLLMを使用してLlama 3.2推論サーバーを構築するステップバイステップガイド。

Published on: 2025-08-28 | 🇯🇵 (Japanese)

콜드스타트 추천 문제를 AWS Trainium과 vLLM으로 해결하는 자동화 전략

AWS Trainium과 vLLM을 사용하여 콜드 스타트 추천 문제를 해결하는 자동화 전략.

Published on: 2025-07-25 | 🇰🇷 (Korean)

【開催報告】Neuron Community – Vol.2

Neuron Community Vol.2の開催報告。

Published on: 2025-07-24 | 🇯🇵 (Japanese)

KARAKURI VL - 日本語コンピュータユースに特化した視覚言語モデル

日本語コンピュータユースに特化したビジョン言語モデルKARAKURI VLの紹介。

Published on: 2025-07-11 | 🇯🇵 (Japanese)

LLM-jp Chatbot Arenaを試験運用しました

LLM-jp Chatbot Arenaの試験運用に関するレポート。

Published on: 2025-05-12 | 🇯🇵 (Japanese)

【開催報告】Neuron Community – Day One

初回Neuron Community Dayの開催報告。

Published on: 2025-04-14 | 🇯🇵 (Japanese)

Nota AI가 제안하는 Transformer 모델을 AWS Inferentia/Trainium에 손쉽게 배포하는 방법

Nota AI가 제안하는 AWS Inferentia/Trainium에서 Transformer 모델을 쉽게 배포하는 방법.

Published on: 2025-04-09 | 🇰🇷 (Korean)

Bytedance processes billions of daily videos using their multimodal video understanding models on AWS Inferentia2

How Bytedance processes billions of daily videos using multimodal models on AWS Inferentia2.

Published on: 2025-02-26 | 🇺🇸 (English)

使用亚马逊云科技自研芯片 Inferentia2 部署 DeepSeek R1 Distillation 模型（二）

使用亚马逊云科技自研芯片 Inferentia2 部署 DeepSeek R1 Distillation 模型（第二部分）。

Published on: 2025-02-14 | 🇨🇳 (Chinese)

使用亚马逊云科技自研芯片 Inferentia2 部署 DeepSeek R1 Distillation 模型（一）

使用亚马逊云科技自研芯片 Inferentia2 部署 DeepSeek R1 Distillation 模型（第一部分）。

Published on: 2025-02-12 | 🇨🇳 (Chinese)

DeepSeek-R1 모델 AWS 출시

AWS에서 DeepSeek-R1 모델을 사용할 수 있게 되었습니다.

Published on: 2025-02-05 | 🇰🇷 (Korean)

EKS Auto Mode でサクッと機械学習用インスタンスを利用してみる。 AWS 独自設計チップ搭載の Trainium と Inferentia を使ってみた！

EKS Auto Modeを使用してMLインスタンスを簡単に利用する方法。AWS TrainiumとInferentiaチップの活用ガイド。

Published on: 2025-01-02 | 🇯🇵 (Japanese)

Important

AWS and Neuron provide links to external articles and posts to help you discover them, but do not commission or own any content not created by AWS employees. This list is curated based on internal and customer recommendations.

Want to add your article? Go to aws-neuron/aws-neuron-sdk, edit about-neuron/news-and-blogs/news-and-blogs.yaml to add your submission, and submit a pull request.

This document is relevant for: Inf1, Inf2, Trn1, Trn2, Trn3