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aws.amazon.com /1 month ago

Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a st...

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aws.amazon.com /2 weeks ago

Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

Amazon Quick helps turn your large enterprise data into fast and accurate AI-powered decisions. In this post, you will learn about five new capabilities of Amazon Quick that accele...

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aws.amazon.com /1 week ago

Build real-time voice applications with Amazon SageMaker AI and vLLM

Voice agents, live captioning, contact center analytics, and accessibility tools all depend on real-time speech-to-text, where your application streams audio in and receives transc...

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aws.amazon.com /2 weeks ago

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI

In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preproc...

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dzone.com /1 month ago

Beyond the LLM: Why Amazon Bedrock Agents Are the New EC2 for AI Orchestration

In 2006, Amazon Web Services (AWS) launched Elastic Compute Cloud (EC2). It was a watershed moment that moved computing from physical server rooms to a scalable, virtualized utilit...

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aws.amazon.com /1 week ago

Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints

Today, Amazon SageMaker AI introduces OpenAI-compatible API support for real-time inference endpoints. If you use the OpenAI SDK, LangChain, or Strands Agents, you can now invoke m...

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aws.amazon.com /3 weeks ago

Agent-guided workflows to accelerate model customization in Amazon SageMaker AI

Amazon SageMaker AI now offers an agentic experience that changes this. Developers describe their use case using natural language, and the AI coding agent streamlines the entire jo...

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aws.amazon.com /1 week ago

How Amazon is moving to integrate catalogs to improve data discovery with Amazon SageMaker

Enterprises face challenges when teams create data assets outside of central data catalogs. It adds overhead for discovery, and limits collaboration. Amazon’s Business Data Technol...

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aws.amazon.com /1 month ago

Amazon SageMaker AI now supports optimized generative AI inference recommendations

Today, Amazon SageMaker AI supports optimized generative AI inference recommendations. By delivering validated, optimal deployment configurations with performance metrics, Amazon...

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towardsdatascience.com /5 days ago

Introducing the Agent Toolkit for Amazon Web Services

It’s like having your own personal expert AWS solutions architect and data engineer rolled into one. The post Introducing the Agent Toolkit for Amazon Web Services appeared first o...

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aws.amazon.com /1 month ago

AWS Generative AI Model Agility Solution: A comprehensive guide to migrating LLMs for generative AI production

In this post, we introduce a systematic framework for LLM migration or upgrade in generative AI production, encompassing essential tools, methodologies, and best practices. The fra...

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aws.amazon.com /22 hours ago

Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality

This post demonstrates a comprehensive observability solution using Amazon Managed Grafana dashboards that provides a holistic view of both quality and quantity for LLMs served on...

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aws.amazon.com /1 month ago

Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes wi...

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aws.amazon.com /3 weeks ago

Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

In this post, you will learn how to secure reserved GPU capacity for short-term workloads using Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML and Amazon SageMake...

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aws.amazon.com /1 month ago

Get to insights faster using Notebooks in Amazon SageMaker Unified Studio

In this post, we demonstrate how Notebooks in Amazon SageMaker Unified Studio help you get to insights faster by simplifying infrastructure configuration. You'll see how to analyze...

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aws.amazon.com /3 weeks ago

Streamlining generative AI development with MLflow v3.10 on Amazon SageMaker AI

Today, we’re excited to announce that Amazon SageMaker AI MLflow Apps now support MLflow version 3.10, bringing enhanced capabilities for generative AI development and streamlined...

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javarevisited.blogspot.com /1 month ago

I Tried 20+ AWS SageMaker Courses: Here Are My Top 5 Recommendations for 2026

Hello guys, if you want to learn about AWS SageMaker and are looking for the best online courses, then you have come to the right place.Artificial intelligence and machine learning...

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aws.amazon.com /3 weeks ago

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

Today, Amazon SageMaker AI introduces capacity aware instance pool for new and existing inference endpoints. You define a prioritized list of instance types, and SageMaker AI autom...

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aws.amazon.com /3 weeks ago

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners interact with their pets remotely. To reduce costs and maintain accurac...

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fastcompany.com /1 week ago

AWS is 20—and all in on AI

In 2006, Amazon Web Services was a fledgling—and a bit of an oddity. Amazon had taken the cloud-computing technologies it had created for its own operations and turned them into a...

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aws.amazon.com /1 month ago

Building AI defenses at scale: Before the threats emerge

At AWS, we’ve spent decades developing processes and tools that enable us to defend millions of customers simultaneously, wherever they operate around the world. Every day, our sec...

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aws.amazon.com /1 month ago

Accelerate agentic tool calling with serverless model customization in Amazon SageMaker AI

In this post, we walk through how we fine-tuned Qwen 2.5 7B Instruct for tool calling using RLVR. We cover dataset preparation across three distinct agent behaviors, reward functio...

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supplychainbrain.com /1 month ago

AWS Launches AI Apps for Supply Chain Forecasting and Hiring

The two products — Connect Decisions and Connect Talent — had previously been used internally for supply chain forecasting and job interviews.

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dzone.com /1 month ago

MCP + AWS AgentCore: Give Your AI Agent Real Tools in 60 Minutes

If you've been building with AI agents, you've probably hit the same wall I did: your agent needs to do things — query databases, call APIs, check systems — but wiring up each tool...

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