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Build a semantic layer for agentic AI on AWS with Denodo and Amazon Bedrock AgentCore
Agentic AI applications need governed access to live enterprise data. That data can live in operational…
Build a semantic layer for agentic AI on AWS with Strategy Mosaic and Amazon Bedrock AgentCore
This post is co-written with Zhili Cheng, Principal Product Manager, George Earle, Director, AI Engineering,…
Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore
In the first post in this series, we built a semantic layer on AWS using Stardog’s knowledge graph over…
Structured outputs for Anthropic Claude models on Amazon Bedrock
Amazon Bedrock now supports structured outputs for all Anthropic Claude models, on both the bedrock-runtime…
Developers can now access SageMaker Studio through the new AWS experience
Today, we’re excited to announce that new Amazon SageMaker AI customers can now land inside a fully…
Amazon SageMaker JumpStart: 2026 year-to-date in review
Amazon SageMaker JumpStart is a machine learning (ML) hub within Amazon SageMaker AI that provides access to…
Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock
On Oct 9, 2026 we announced the availability of TwelveLabs’ Pegasus 1.5 on Amazon Bedrock. Pegasus 1.5 is a…
How Deepgram optimized voice AI at scale with AWS Trainium
As voice becomes a first-class modality for AI, Deepgram’s models span speech-to-text, text-to-speech, and…
Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM
vLLM is an open-source inference and serving engine for large language models (LLMs). LLM inference has two…
Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM
Multi-turn agentic workloads build on accumulated context as an agent reasons, invokes tools, and…
Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore
The North Star Every organization racing to deploy AI agents faces the same reckoning: an agent that demos…
Introducing Reflection Beam: an open-weight model for agentic coding on AWS
Reflection AI introduced Beam, an open-weight model for agentic coding and long-horizon tasks such as…
Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart
Muse Spark Open, Meta’s coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart,…
Trust in Depth: Giving agents more autonomy without losing control
In every conversation I have with enterprise leaders, they say the same thing. They want agents to do more,…
Build self-improving document processing using Amazon Bedrock AgentCore
IDC research shows that document-related challenges cost organizations $19,732 for each information worker…
Generate presentations with Amazon Bedrock AgentCore
A financial services team spends significant time each week manually creating client PowerPoint presentations…
How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock
Critical cloud exposures pile up faster than security teams can close them. Cloud-native application…
Deploy and evaluate models with Amazon SageMaker JumpStart
Choosing the right model for a specific application requires a practical way to test it with representative…
Building agents that transact with Anchor Browser and AgentCore payments
AI agents increasingly need to access web resources that are priced per request. For example, premium…
Manage private pricing offers for Amazon Bedrock with managed entitlements
Managing AI model access across dozens or hundreds of AWS accounts creates operational friction when each…
Natural language security queries at Orca Security using Amazon Bedrock
Security analysts need fast answers about their cloud infrastructure without deep familiarity with…
How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCore
This post is co-written with Kenneth Salmon, Edward Boswell, Jack Armstrong, Robert Bahn, and Nick Ciubotariu…
Build long-horizon agents with Grok 4.7 on Amazon Bedrock
SpaceXAI’s Grok 4.7 is now available on Amazon Bedrock, which offers a choice of foundation models (FMs)…
Mixture-of-Experts kernel engineering on Amazon SageMaker AI
Mixture-of-Experts (MoE) is a sparsely-activated architecture that scales large language model (LLM) capacity…