Amazon Web Services
Amazon Web Services (AWS) is the largest cloud provider, offering a comprehensive AI/ML platform: Amazon Bedrock (foundation models and agents), Amazon SageMaker (ML training and deployment), Amazon Q and its own Trainium/Inferentia chips.
Description
Amazon Web Services (AWS) is Amazon's cloud division and the world's largest cloud provider. In artificial intelligence, AWS offers a comprehensive platform covering the full lifecycle of building and deploying AI - from infrastructure, through foundation models, to finished applications and agents.
Its key AI services are: Amazon Bedrock - a platform for building generative-AI applications and agents with access to models from many providers (Anthropic Claude, Meta Llama, Amazon Nova, Mistral, Cohere, AI21, Stability); Amazon SageMaker - a fully managed service for training, customizing and deploying ML models; Amazon Q - an AI assistant for work and developers; and Bedrock AgentCore for running AI agents at scale. AWS also provides responsible-AI mechanisms such as Bedrock Guardrails.
AWS designs its own AI accelerators - Trainium (training) and Inferentia (inference) - alongside NVIDIA GPUs, and operates globally across many regions with enterprise-grade security and compliance (including SOC 2, ISO 27001, HIPAA, FedRAMP, GDPR). Development is done via the AWS SDK (Boto3 and others), the CLI, the SageMaker SDK and REST APIs.
Data & KnowledgeData & Knowledge ManagementData connectors, vector database integration, native vector search and data management (PII, provenance, synthetic data).
ApplicationsAI ApplicationsDomains and use cases this platform is best suited for — from RAG and fine-tuning to scientific research.
SecurityEnterprise SecurityCertifications, access controls and data-protection features essential for corporate deployments and cloud privacy compliance.
Developer EcosystemDeveloper EcosystemDeveloper resources: available SDKs, supported programming languages, and infrastructure features and model-deployment methods.
Pricing & Business ModelPricing & Business ModelBilling models (usage-based, provisioned throughput), resource limits and SLA parameters (uptime, support tiers).
Pricing models
Resource quotas
SLA & Support