This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Test batch invariance in NKI kernels

Demo applications showcasing DJL

Benchmark and optimize LLM inference on AWS Trainium and Inferentia accelerators.

MCP Server for the Neuron Documentation

Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.

Project showing how to develop NKI kernels for Qwen3-moe inference

gpt-oss

Additional packages (components, document stores and the likes) to extend the capabilities of Haystack

🚀 A list of Haystack Integrations, maintained by the community or deepset.

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

Agent samples built using the Strands Agents SDK.

Notebooks and sample code for Build On Trainium

Collection of examples of how to use Model Context Protocol with AWS.

This project demonstrates how to generate images using Stable Diffusion or FLUX.1 models by hosting ComfyUI on Amazon SageMaker inference endpoint.