Data science teams working with artificial intelligence and machine learning (AI/ML) face a growing challenge as models become more complex. While Amazon Deep Learning Containers (DLCs) offer robust baseline environments out-of-the-box, customizing them for specific projects often requires significant time and expertise. In this post, we explore how to useContinue Reading
This post is cowritten with Siddhant Waghjale and Samuel Barry from Mistral AI. Model Context Protocol (MCP) is a standard that has been gaining significant traction in recent months. At a high level, it consists of a standardized interface designed to streamline and enhance how AI models interact with externalContinue Reading
Generative AI has been moving at a rapid pace, with new tools, offerings, and models released frequently. According to Gartner, agentic AI is one of the top technology trends of 2025, and organizations are performing prototypes on how to use agents in their enterprise environment. Agents depend on tools, andContinue Reading
Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. These diagrams serve as essential communication tools for stakeholders, documentation of compliance requirements, and blueprints for implementation teams. However, traditional diagramming approaches present several challenges: Time-consuming process – Creating detailed architecture diagrams manually canContinue Reading
Managing and optimizing AWS infrastructure costs is a critical challenge for organizations of all sizes. Traditional cost analysis approaches often involve the following: Complex spreadsheets – Creating and maintaining detailed cost models, which requires significant effort Multiple tools – Switching between the AWS Pricing Calculator, AWS Cost Explorer, and third-partyContinue Reading
We’ve witnessed remarkable advances in model capabilities as generative AI companies have invested in developing their offerings. Language models such as Anthropic’s Claude Opus 4 & Sonnet 4, Amazon Nova, and Amazon Bedrock can reason, write, and generate responses with increasing sophistication. But even as these models grow more powerful,Continue Reading
We’re excited to announce the open source release of AWS MCP Servers for code assistants — a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. Our specialized AWS MCP servers combine deep AWS knowledge with agentic AIContinue Reading
AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. Amazon Bedrock Agents enables this functionality by orchestrating foundation models (FMs) with data sources, applications, and user inputs to complete goal-oriented tasks through API integration and knowledge base augmentation.Continue Reading
