AWS Machine Learning

Amazon Quick is now generally available on desktop Your teams get an AI assistant that handles real work while your data stays in your environment […]

Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0 Today we’re announcing the general availability of TwelveLabs Marengo E […]

Reduce inference cold starts on Amazon SageMaker HyperPod with model caching When you deploy a large language model (LLM) for inference on Amazon […]

Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference When you build an application on top of a large language model (LLM), the […]

Automate user-level custom permissions for Amazon Quick As Amazon Quick environments scale and new AI-powered capabilities expand what users can do, […]

Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers TorchServe is no longer actively maintained. The official […]

How Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore Heurist uses Amazon Bedrock AgentCore to build AI-powered […]

ICYMI: What landed for AI builders in August 2026 A recap of the biggest Amazon Bedrock, AgentCore, and Strands updates from August 2026. At AWS, we […]

Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM On August 12, 2026, Alibaba’s Qwen team released Qwen3.8-2.4T-A95B. This is the f […]

How DiDi built intelligent contact center QA with Amazon Bedrock DiDi partnered with AWS to build an intelligent contact center quality assurance […]

How HPE Zerto built an agentic troubleshooting system with Amazon Bedrock This post was co-written by AWS and the HPE Zerto team. If you manage […]

Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6 Choosing the right GPU instance for large language model (LLM) inference is one of […]

Automated agent evaluation with Amazon Bedrock AgentCore and GitHub Actions Build a continuous integration and continuous delivery (CI/CD) quality […]

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1 Automating model registration between MLflow and a model registry […]

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2 Governing models across accounts is the natural next step once […]

Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes We are excited to announce feature-level writes for Amazon SageMaker […]

Pathway’s brain-inspired architecture development on Amazon SageMaker HyperPod As AI systems take on more complex tasks, much of the industry’s p […]

Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock GPT-6 Astra from OpenAI brings greater depth and judgment to your most demanding […]

How Intuit built an agentic disaster recovery assistant with Amazon Bedrock Disaster recovery (DR) at scale is hard. When thousands of microservices […]

Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract For customer service teams handling […]