Turn your AI ambitions into business results with AWS
From chips to agentic solutions, get there faster on a foundation proven across millions of workloads.
Why choose AWS for AI
Build and run AI on your terms. Grounded in your data. Reliable where it counts most.
With AWS, you can...
Build your next breakthrough on a foundation proven across millions of production workloads.
Access hundreds of models through Amazon Bedrock. Build agents with AgentCore or Strands on open standards. Get the right tool for the job with nearly 2X more production-ready AI capabilities than other cloud providers.
Move faster with price-performance built for AI at any scale.
Get more from every AI dollar you spend. Trainium delivers up to 40% better price-performance, while a broad choice of models helps you find the right balance of intelligence, speed, and cost.
Multiply what your teams can do with purpose-built agents that know the job and get sharper the more they work.
From coding with Kiro to business productivity with Amazon Quick, agents built on AWS arrive ready to work, acting on your behalf and delivering faster than your teams thought possible.
Scale AI on a foundation of trust, built for your most demanding, mission-critical workloads.
Proven security, governance, and reliability for all your AI workloads. Your data stays where you put it, governed by the rules you define. Set guardrail policies once, enforce them across every account.
Build AI that works in production and holds up at scale
Choose your models. Customize for your workloads. Ship production-ready agents at scale.
Ship AI agents to production with security and governance built in
Build with any model or framework and run it on AgentCore. Enforce boundaries with deterministic policy-based controls. Scale from one agent to hundreds without rebuilding infrastructure each time.
Run inference at scale on the models and compute you choose
Access hundreds of models through Amazon Bedrock or deploy your own with Amazon SageMaker AI. Run on Trainium, Graviton, or NVIDIA GPUs, and swap compute without rewriting your applications.
Customize models on your data, fully serverless
Apply fine-tuning, reinforcement learning, knowledge distillation, and continued pre-training across 20+ open-weight models and Amazon Nova on Amazon SageMaker AI. No infrastructure to provision, no clusters to manage.
Turn your data into a governed foundation for AI
Your data is what makes AI uniquely yours. Connect it to to the models you choose with vector search and semantic metadata. Turn scattered business rules into a governed knowledge graph.
Power every AI workload with AI chips built for more performance per dollar
Get up to 40% better price-performance across model training, inference, and the compute behind agentic AI with AWS Trainium and AWS Graviton.
Put AI to work without building from scratch
Agents that act on your behalf and take on real work, getting sharper the more your teams use them.
Move beyond AI coding to agentic engineering with Kiro
Kiro turns prompts into executable specs, validates correctness to catch bugs unit tests miss, and works across large codebases with parallel agents that learn from every session.
The AI assistant built for work
Amazon Quick connects to your tools and data, learns how you work, and takes action, scheduling meetings, building dashboards, following up. The more you use Quick, the better it gets.
Purpose-built agents for business operations
Business teams need AI that understands their function. Amazon Connect delivers agents for customer experience, hiring, supply chain, and healthcare, built on decades of Amazon operational expertise.
4,000+ AI agents and solutions, now ready to deploy
Find pre-built AI solutions from AWS Partners for specific workflows, integrate third-party models, or publish your own, with centralized purchasing, billing, and access.
How customers run AI in production on AWS
From real-time sports analytics to enterprise agent deployments, see how organizations turn AI ambition into business results with AWS.
AI built for your industry
See how organizations in your sector use AWS AI to solve industry-specific challenges, from regulatory compliance to real-time operations.
AI for financial services
Fraud detection, risk modeling, and compliance automation for regulated environments
AI for public sector
Citizen services, defense, and mission-critical AI with FedRAMP and GovCloud compliance
AI for automotive and manufacturing
Predictive maintenance, supply chain optimization, and autonomous systems at production scale
AI for media, entertainment, and games
Content generation, personalization, and real-time fan engagement at global scale
Frequently asked questions
FAQs
Open allAmazon Bedrock gives you access to hundreds of leading foundation models from Anthropic, OpenAI, Google, Meta, Amazon, and more. You can also deploy and serve custom models using Amazon SageMaker AI. Choose the right model for each task without being locked into a single provider.
Cost control and visibility across AI workloads (training, inference, agent operations) in one billing view. Purpose-built chips like Trainium deliver 30-40% better price-performance. Additional levers: model distillation (smaller models that cost less), intelligent prompt routing (routes queries to balance cost and quality), and auto-scaling that matches capacity to demand.
AWS pioneered automated reasoning to bring mathematical verification to AI. Automated Reasoning checks in Amazon Bedrock Guardrails help detect factual errors and validate responses against polices you define. AgentCore Policy enforces agent boundaries with mathematical proof, and existing IAM, VPC, and compliance controls extend automatically.
AWS supports open standards (MCP and A2A protocols), major ML frameworks, gives you the flexibility to swap models, frameworks, and broad choice across models and compute as your needs evolve. Build with Bedrock, SageMaker AI, or open-source tools like Strands Agents. Your code stays portable.
Amazon Bedrock AgentCore bridges the gap between prototyping and production. Managed infrastructure for agent hosting, built-in observability, deterministic policy controls, and guardrails help you go from prototype to production without rebuilding.
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