Artificial Intelligence

Category: Advanced (300)

Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod

Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod

Building a Physical AI system takes a continuous pipeline, not a single training job. This post shows how to run that model factory (synthetic data generation, post-training, and closed-loop evaluation with NVIDIA Cosmos 3) on a persistent, resilient Amazon SageMaker HyperPod cluster on Amazon EKS, with GPU goodput as the metric that matters.

Run agent-driven Amazon SageMaker HyperPod operations with InstantStart

Run agent-driven Amazon SageMaker HyperPod operations with InstantStart

HyperPod InstantStart is an open source control plane that composes Amazon EKS orchestration with the managed capabilities of Amazon SageMaker HyperPod. It drives the same guarded operations through both a web interface and an AI agent, turning cluster bootstrap, capacity, training, inference, and storage into dependable, agent-driven infrastructure.

How Intuit built an agentic disaster recovery assistant with Amazon Bedrock

How Intuit built an agentic disaster recovery assistant with Amazon Bedrock

Disaster recovery at scale is hard. Learn how Intuit built EWOK Agent, an agentic disaster recovery assistant on Amazon Bedrock that lets on-call engineers run production failovers from a plain-language request while keeping every action audited, policy-compliant, and safe.

AI-driven development lifecycle using Amazon Bedrock AgentCore

AI-driven development lifecycle using Amazon Bedrock AgentCore

Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) often struggle to turn concepts into working code. This post walks through two reference implementations on Amazon Bedrock AgentCore, Kiro, and Claude Code: an SQL-to-ER-diagram generator and a multi-agent code security analyzer that put the AI-DLC construction phase into practice.

Migrate agentic workloads to Amazon Bedrock AgentCore

Migrate agentic workloads to Amazon Bedrock AgentCore

An agent that works in a notebook is not an agent in production. This post walks through migrating a LangGraph customer support agent to Amazon Bedrock AgentCore in two stages: onto Runtime, Gateway, and Memory, then to model-driven planning on Strands Agents, retiring operational burdens along the way.

Set up OpenAI ChatGPT Codex with LiteLLM on Amazon ECS and Amazon Bedrock

Set up OpenAI ChatGPT Codex with LiteLLM on Amazon ECS and Amazon Bedrock

Deploy a customer-operated LiteLLM gateway on Amazon ECS with AWS Fargate, connect it to an OpenAI model on Amazon Bedrock, and configure Codex to route requests through the gateway’s Responses API with scoped identities, budgets, rate limits, and telemetry. We also compare direct IAM Identity Center access and a managed Portkey deployment.

Embed Quick Sight visuals using Cognito user authentication

Embed Quick Sight visuals using Cognito user authentication

Learn how to embed individual Amazon Quick Sight visuals into a React application with per-user access control. This walkthrough uses Amazon Cognito authentication and a serverless AWS Lambda backend to generate scoped embed URLs, deployed with a single AWS CloudFormation stack.

From code to diagrams: Agentic architecture documentation with Amazon Bedrock AgentCore

From code to diagrams: Agentic architecture documentation with Amazon Bedrock AgentCore

Learn how a global interdealer broker built an automated architecture documentation pipeline on Amazon Bedrock AgentCore that analyzes .NET code bases, generates architecture diagrams, and maintains searchable documentation through Amazon Bedrock Knowledge Bases and AWS CodePipeline.