{"id":13039,"date":"2025-07-15T03:06:01","date_gmt":"2025-07-15T03:06:01","guid":{"rendered":"https:\/\/hostnoc-revamp.branex.org\/blog\/?p=13039"},"modified":"2026-02-09T11:44:18","modified_gmt":"2026-02-09T11:44:18","slug":"aws-launches-ai-agent-marketplace","status":"publish","type":"post","link":"https:\/\/hostnoc-revamp.branex.org\/blog\/aws-launches-ai-agent-marketplace\/","title":{"rendered":"AWS Launches AI Agent Marketplace With Anthropic On July 15"},"content":{"rendered":"

AWS launches AI agent marketplace with Anthropic, rolling out Nvidia Blackwell\u2011powered servers and making some major upgrades to SageMaker. AWS is betting big on infrastructure as a strategic differentiator.<\/span><\/p>\n

1. AWS Launches AI Agent Marketplace with Anthropic<\/h2>\n

At AWS Summit New York on <\/span>July\u202f15<\/b>, AWS will debut its long\u2011awaited <\/span>AI agent marketplace<\/b>, a one\u2011stop shop for AI tools and assistants built by startups and enterprises. Anthropic, backed by AWS, will be a featured partner. The platform allows enterprises to browse, purchase, install, and integrate AI agents designed to act autonomously, making decisions or executing multi\u2011step software tasks using generative AI engines.<\/span><\/p>\n

AWS is expected to take a modest commission on agent sales, with startups setting their own SaaS\u2011style pricing. To further accelerate adoption, AWS may allow eligible startups and enterprises to apply their AWS credits<\/a> toward these marketplace purchases, effectively subsidising the initial cost of deploying sophisticated AI agents. Though similar marketplaces already exist, like <\/span>Google Cloud\u2019s AI Agent Marketplace<\/b> and Microsoft\u2019s Agent Store within Copilot, AWS<\/a> aims to attract a broader audience by leveraging its massive cloud customer base. For Anthropic, whose annualized revenue recently reached <\/span>$3\u202fbillion<\/b>, the marketplace offers an even bigger growth channel.<\/span><\/p>\n

2. Nvidia Blackwell Superchips Arrive on AWS<\/h2>\n

In a parallel infrastructure play, AWS has introduced new <\/span>EC2 instances powered by Nvidia\u2019s Blackwell GB200 Grace Superchips,<\/b> including the B100 and GB200 GPUs built for massive-scale generative AI workloads, especially inference. These new instances tap into AWS\u2019s <\/span>EC2 UltraClusters<\/b> featuring 20k+ GB200 Superchips<\/strong> and 414 exaflops<\/strong> of compute in co\u2011developed Nvidia\u2013AWS supercomputers.<\/span><\/p>\n

Graphics\u2011heavy workloads, including multi\u2011trillion\u2011parameter LLMs, stand to benefit from up to <\/span>30\u00d7 faster inference<\/b> and <\/span>25\u00d7 energy savings<\/b> compared to previous-gen GPUs.<\/span> AWS also offers these GPUs through <\/span>Nvidia DGX Cloud<\/b>, optimized for secure, high\u2011performance LLM training and deployment, further cementing AWS\u2019s position in the GPU\u2011accelerated AI race.<\/span><\/p>\n

3. Amazon Launches Kiro<\/h2>\n

Amazon Web Services has launched Kiro, a new AI-powered IDE designed to bring structure and clarity to \u201cvibe coding.\u201d Building off VS Code, Kiro emphasizes specification-driven development, allowing developers to define project requirements in a structured spec file. It automatically generates user stories using the EARS format, builds design docs including data flow diagrams, TypeScript interfaces, and API endpoints, and breaks everything down into task lists complete with testing and accessibility steps.<\/span><\/p>\n

What sets Kiro apart are its event-driven \u201chooks\u201d, which act like background agents. These can trigger actions like code scanning or updating documentation when files are saved or modified, ensuring consistency, security checks, and adherence to team standards. Initially launching in preview across Linux, macOS, and Windows with Amazon\u2019s Sonnet models powering it, Kiro aims to bridge the gap between rapid prototype coding and production-ready software. AWS plans to continue expanding model support and introduce paid tiers after the preview.<\/span><\/p>\n

4. SageMaker Evolves into Full Data\u2011to\u2011AI Hub<\/h2>\n

AWS\u2019s flagship AI platform, <\/span>Amazon SageMaker<\/b>, is also receiving a substantial upgrade: it\u2019s evolving into a unified data, analytics, and AI studio, consolidating tools like SageMaker Studio, EMR, Redshift, AWS Glue, and Bedrock into a cohesive interface<\/span>\u00a0<\/span><\/a><\/p>\n

Key new features include:<\/span><\/p>\n