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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 /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 /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 /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 /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 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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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 /1 month ago

Use-case based deployments on SageMaker JumpStart

We're excited to announce the launch of Amazon SageMaker JumpStart optimized deployments. SageMaker JumpStart improved deployments address the need for rich and straightforward dep...

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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 /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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aws.amazon.com /1 week ago

Automate deployment of data and AI applications with Amazon SageMaker Unified Studio CI/CD CLI

The CI/CD CLI for Amazon SageMaker Unified Studio (aws-smus-cicd-cli) is an open source command line tool that automates deployment of multi-service data and AI applications across...

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aws.amazon.com /1 month ago

Build Strands Agents with SageMaker AI models and MLflow

In this post, we demonstrate how to build AI agents using Strands Agents SDK with models deployed on SageMaker AI endpoints. You will learn how to deploy foundation models from Sag...

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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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aws.amazon.com /1 month ago

NVIDIA Nemotron 3 Nano Omni model now available on Amazon SageMaker JumpStart

Today, we are excited to announce the day zero availability of NVIDIA Nemotron 3 Nano Omni on Amazon SageMaker JumpStart. In this post, we walk through the model architecture and k...

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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 /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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aws.amazon.com /1 month ago

Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context wind...

This post describes how TGS achieved near-linear scaling for distributed training and expanded context windows for their Vision Transformer-based SFM using Amazon SageMaker HyperPo...

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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 /1 week ago

Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store

Today, we’re announcing three new capabilities available in SageMaker Python SDK v3.8.0. In this post, we walk through each capability with code examples you can use to get started...

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smallbiztrends.com /2 weeks ago

Sage and AWS Team Up to Simplify AI Adoption for Small Businesses

Discover how Sage and AWS are collaborating to make artificial intelligence more accessible for small businesses, streamlining the adoption process and empowering growth through in...

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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

Best practices to run inference on Amazon SageMaker HyperPod

This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling,...

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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 /2 days ago

Build a custom portal with embedded Amazon SageMaker AI MLflow Apps

In this post, you learn how to build a custom portal with embedded SageMaker AI MLflow Apps UI. You walk through the architecture pattern behind a React front end paired with a Fla...

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