Best AI Agent Infrastructure Platforms for Amazon EKS

AWS is the leading provider of cloud computing, delivering over 200 fully featured services to organizations worldwide. Its offerings cover everything from infrastructure—such as compute, storage, and networking—to advanced technologies like artificial intelligence, machine learning, and agentic AI. Businesses use AWS to modernize legacy systems, run high-performance workloads, and build scalable, secure applications. Core services like Amazon EC2, Amazon S3, and Amazon DynamoDB provide foundational capabilities, while advanced solutions like SageMaker and AWS Transform enable AI-driven transformation. The platform is supported by a global infrastructure that includes 38 regions, 120 availability zones, and 400+ edge locations, ensuring low latency and high reliability. AWS integrates with leading enterprise tools, developer SDKs, and partner ecosystems, giving teams the flexibility to adopt cloud at their own pace. Its training and certification programs help individuals and companies grow cloud expertise with industry-recognized credentials. With its unmatched breadth, depth, and proven track record, AWS empowers organizations to innovate and compete in the digital-first economy.

Control Plane is the platform for running unbreakable apps and agents. It combines any cloud, neocloud, and bare metal, including AWS, Google Cloud, Azure, and your own Kubernetes clusters, into one Global Virtual Cloud. Every workload runs active-active across the locations you choose, and a global endpoint sends each request to the nearest healthy location, so a zone, region, or provider outage does not take your service down. It runs serverless, standard, stateful, cron, and VM workloads with no application changes. Workloads reach 600+ AWS, GCP, and Azure services through Universal Cloud Identity, with no long-lived cloud keys in code, and Cloud Wormhole connects them to private VPCs and data centers. Autoscaling, observability, mutual TLS, secrets, and an audit trail are built in, with no Kubernetes cluster to operate. Customers typically cut compute costs 30 to 50 percent compared with running directly on AWS, GCP, or Azure.