AWS introduced disaggregated prefill and decode (DPD) for LLM inference on SageMaker HyperPod, separating compute-bound prefill and memory-bound decode onto different GPU pools connected via EFA RDMA …
Amazon Web Services published a blog post on Model Context Protocol (MCP) tool design, identifying bloat and confusion as primary causes of underperformance in agentic AI systems. The post recommends …
Amazon Web Services announced new capabilities for Amazon SageMaker HyperPod, including inference data capture, direct model deployment from community hubs, NVMe storage for reduced latency, and Route…
Anthropic announced the Claude apps gateway for AWS, a self-hosted control plane that gives organizations centralized management of access, cost, and policy for Claude Code and Claude Desktop. The gat…
Amazon Web Services announced a generative AI solution using Amazon Bedrock to automatically sort and prioritize email messages for public sector organizations. The system categorizes incoming emails …
Amazon Web Services announced a new guide for building a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio, enabling developers to create AI-powered customer e…
AWS introduced two architecture patterns to secure Amazon Bedrock AgentCore Runtime with AWS WAF, using an internet-facing Application Load Balancer and a VPC Interface Endpoint. The patterns address …
Jamf announced AI Governance for Mac, integrating with Amazon Bedrock to let IT administrators centrally configure and manage AI applications like Claude Code and OpenAI Codex on employee devices, ens…
Amazon Web Services announced Dataset Enrichment for Amazon Quick, enabling users to embed business context directly into datasets rather than managing separate legacy Topics. The new approach stores …
Amazon Web Services announced the public preview of multi-dataset Topics in Amazon Quick Sight, allowing users to add up to 12 datasets to a single semantic layer and define relationships between them…
Amazon Web Services (AWS) announced a serverless image editing agent built on the Amazon Bedrock AgentCore harness, enabling users to edit photos via natural language prompts. The agent uses configura…
Amazon Web Services introduced a model monitoring architecture using the open-source Evidently Python library and Amazon SageMaker AI with MLflow to detect data and model drift in discriminative ML mo…
Amazon Web Services introduced an AI-powered AWS Support Companion built on Amazon Bedrock AgentCore that consolidates incident investigation into a single conversational interface. The agent analyzes…
AWS Finance teams used Amazon Quick, a generative AI assistant, to automate scenario modeling and weekly business reviews, reducing analysis time from 6 hours to 10 minutes per customer and covering t…
AWS and Hugging Face launched a deep-link integration that lets developers go from model discovery on Hugging Face to experimentation in Amazon SageMaker Studio with a single click. The integration pr…
Amazon Web Services introduced Reverse Direct Preference Optimization (rDPO), a novel unlearning technique behind Amazon Nova Customizable Content Moderation Settings (CCMS), which allows approved cus…
Amazon Bedrock now offers MiniMax M2 family models, including the new M2.5 optimized for agent-native execution, enabling customers to build agentic applications and long-context document analysis wit…
Amazon Web Services announced a new multi-turn reinforcement learning infrastructure for Amazon Nova on Amazon SageMaker HyperPod, enabling training of enterprise agents on multi-step workflows. The e…
Amazon Web Services announced a new pipeline using Amazon Nova foundation models to automatically redact Personally Identifiable Information (PII) in images, addressing compliance with regulations lik…
Amazon SageMaker AI now integrates with MLflow to stream benchmark and recommendation results into a unified tracking interface, reducing data silos and accelerating iteration cycles for generative AI…