Enabling AI sovereignty on AWS

This article outlines AWS's approach to enabling AI sovereignty, allowing customers to maintain control over their data and AI workloads while meeting regulatory requirements.

• AI sovereignty requires control across compute, networking, data management, security, and specialized services
• AWS offers diverse chip options including proprietary silicon and NVIDIA, AMD, Intel processors
• AWS AI Factories provide physically isolated, dedicated deployments for mission-critical AI workloads
• Amazon Bedrock allows customers to choose from hundreds of models with no data used for training third-party models
• AWS supports national AI strategies including local language model development like Greek Meltemi and SEA-LION
• AWS Nitro System ensures no AWS personnel can access customer data on EC2 instances
• AWS Identity and Access Management provides fine-grained permissions for AI resources and agents
• AWS achieved ISO/IEC 42001 certification for responsible AI practices across multiple services
• AWS supports 140+ security standards and compliance certifications for regulatory alignment

AWS commits to providing customers with equivalent control over AI systems as their data, balancing innovation with sovereignty requirements across regions and sectors.