Latest updates for Amazon Sagemaker Ai

Fresh curated links around Amazon SageMaker AI are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch
  • Launching UI for generative AI inference recommendations in Amazon SageMaker AI
  • Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints

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aws.amazon.com /3 weeks ago

Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch

Amazon SageMaker AI provides fully managed real-time inference hosting for machine learning models. You deploy a model to a SageMaker endpoint backed by one or more compute instanc...

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aws.amazon.com /2 days ago

Launching UI for generative AI inference recommendations in Amazon SageMaker AI

In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives y...

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aws.amazon.com /1 month 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 week ago

Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI

In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatical...

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aws.amazon.com /1 month ago

NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart

Deploy NVIDIA Nemotron 3 Ultra on Amazon SageMaker JumpStart. Get 5x faster inference and 30% lower cost for agentic AI workloads with this frontier reasoning model.

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aws.amazon.com /3 weeks ago

Running ComfyUI workflows on Amazon SageMaker AI processing jobs

In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single batch. You learn ho...

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aws.amazon.com /4 weeks ago

Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI

This post walks you through how to use P-EAGLE directly within Amazon SageMaker AI. It will demonstrate how to select a compatible model from the SageMaker JumpStart catalog, confi...

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aws.amazon.com /1 week ago

Monitoring discriminative ML models using Amazon SageMaker AI with MLflow

Implementing a data and model monitoring solution is necessary to maintain prediction accuracy and help achieve the best outcome for your machine learning use case. This post shows...

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aws.amazon.com /1 month ago

Improve your agent’s tool-calling accuracy with SFT and DPO on Amazon SageMaker AI

In this post, you learn how to use Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) together to improve the tool-calling accuracy of a small language model (SL...

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aws.amazon.com /1 week ago

From Hugging Face to Amazon SageMaker Studio in one click

Today, we’re excited to announce a deep-link integration between Hugging Face and Amazon SageMaker AI. Developers can now go from model discovery to hands-on experimentation in Sag...

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aws.amazon.com /5 days ago

Deploying quantized models on Amazon SageMaker AI with Unsloth

In this post, you will learn four deployment patterns for taking models that have already been quantized with Unsloth and deploying them on AWS infrastructure. The patterns use Ama...

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aws.amazon.com /1 month 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

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell

This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence l...

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aws.amazon.com /2 weeks ago

Accelerate protein design with BoltzGen on Amazon SageMaker AI

In this post, we demonstrate how to deploy BoltzGen on SageMaker AI and run an end-to-end protein design experiment. By the end of the walkthrough, you have a working setup that sc...

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devops.com /1 month ago

AWS Unfurls Open Source AI Agent to Enable Better AI Coding Outcomes

Amazon Web Services (AWS) today previewed a customizable lightweight, open-source harness, dubbed Simple Strands Agent (SSA), that looks to provide a more consistent approach to th...

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aws.amazon.com /1 month ago

Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI

In this post, we show how to train robot policies for the Unitree H1 humanoid with NVIDIA Isaac Lab on Amazon SageMaker AI across two compute options: Amazon SageMaker HyperPod and...

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aws.amazon.com /1 month 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 /6 days ago

Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integrat...

In this post, we walk through five capabilities now available in SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hu...

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aws.amazon.com /1 month 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

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 /4 weeks ago

AI-assisted data development with Kiro and SageMaker Unified Studio

With the AWS Toolkit for Visual Studio Code, you can connect Kiro, VS Code, or Cursor directly to Amazon SageMaker Unified Studio. This post demonstrates the integration using Kiro...

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towardsdatascience.com /1 month 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 /4 weeks ago

Introducing container caching in Amazon SageMaker AI for faster model scaling

Today, we’re excited to announce container image caching for Amazon SageMaker AI inference, the next major advancement in our faster scaling optimization journey. This speeds up en...

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aws.amazon.com /1 month ago

End-to-end encrypted ML inference with Amazon SageMaker AI and FHE

This blog has previously discussed FHE for ML inference in the post Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing, but this...

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Sources covering Amazon Sagemaker Ai

aws.amazon.com

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aws.amazon.com

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devops.com

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towardsdatascience.com

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