AWS Plans to Invest Hundreds of Millions of Dollars in AI

At the recent AWS Summit New York (USA), AWS announced a series of important innovations to help organizations and businesses build and deploy AI agents securely at scale. These new innovations include Amazon Bedrock AgentCore, new AI agents and AI tools on AWS Marketplace, and Nova customization features on SageMaker AI.

Amazon Web Services (AWS) launched its newest platform service, Amazon Bedrock AgentCore, available on AWS Marketplace, and announced a $100 million investment to accelerate agentic AI development.

Key highlights include: the announcement of the Amazon Bedrock AgentCore platform, along with a suite of new core services that enable organizations to deploy and operate secure AI agents across the enterprise.

New services on AWS Marketplace enable businesses to find, purchase, and deploy AI agents and AI tools from leading vendors in the market.

AWS plans to invest an additional $100 million in the AWS Generative AI Innovation Center to accelerate agentic AI development and deployment.

New Amazon Nova customization features enable customers to develop applications/services on demand with greater precision and flexibility.

AWS has established a set of standards for security, reliability, and data privacy for cloud computing. Now, AWS is applying these principles to agentic AI by announcing new services and tools that help customers build AI agents on a solid foundation of AWS technology. The most important announcement is Amazon Bedrock AgentCore, which enables customers to securely deploy and operate AI agents at scale.

Kiro – the bridge from AI prototype testing to real-world deployment

Kiro is a new IDE (Integrated Development Environment) for developers that simplifies application development processes by working closely with AI agents in software development projects. With Kiro, developers can not only program as usual, but also take advantage of features such as specs and hooks that allow them to use agents to write detailed plans and automatically trigger workflows such as running tests or generating documentation.

TwelveLabs AI Models Now Available on Amazon Bedrock

Korean startup TwelveLabs AI transforms video libraries into searchable and interactive assets by processing images, audio, and text in video content simultaneously. Customers can now discover information and interact with videos almost instantly through natural language prompts, all with AWS ensuring security, privacy, and high performance.

Meta's Llama 4 models are now available on Amazon Web Services

Access Meta's most powerful AI models on the Amazon Bedrock and Amazon SageMaker JumpStart platforms.

Strands 1.0 makes it easy for AI agents to interact with each other

AWS is releasing updates to Strands Agent, a new open-source SDK for building AI systems where multiple AI agents work together to solve complex tasks. This technology reduces deployment time from months to hours, allowing businesses to build teams of AI agents that work in unison to respond to customer requests, analyze data, and perform other complex tasks.

AWS AI League Gamifies Obstacles to Help Developers Build Essential AI Skill Sets

AWS is introducing the AWS AI League, a competitive platform for developers to solve real-world problems with generative AI solutions, honing the skills needed to drive innovation across their organizations. The program provides up to $2 million in AWS credits for developers to gain hands-on experience, from fine-tuning and customizing models to writing optimal prompts. Winners will win an all-expenses-paid trip to AWS re:Invent and cash prizes.

AWS Introduces 8 More Gamified Training Courses to Boost Cloud Skills

Research shows that game-based learning is highly interactive, resulting in better and more effective absorption of knowledge.

Lan Anh

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