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Amazon SageMaker — AI News Today

PlatformAmazon Web ServicesAWS

Amazon SageMaker is AWS's managed platform for building, training, fine-tuning and deploying machine-learning and generative-AI models, now branded Amazon SageMaker AI. It includes SageMaker JumpStart, a hub of ready-to-deploy models such as NVIDIA's Nemotron family, and SageMaker HyperPod for large-scale training and inference clusters, which gained a GPU-aware Inference Gateway in September 2026.

aws.amazon.com/sagemaker
Models:Amazon NovaMultimodal
Hardware:AWS InferentiaChipAWS TrainiumChipTrainium3AcceleratorTrainium4Accelerator

167 stories about Amazon SageMaker

6 from your feeds6 from search

About Amazon SageMaker

Amazon SageMaker is an AI platform by AWS. Amazon SageMaker is AWS's managed platform for building, training, fine-tuning and deploying machine-learning and generative-AI models, now branded Amazon SageMaker AI. It includes SageMaker JumpStart, a hub of ready-to-deploy models such as NVIDIA's Nemotron family, and SageMaker HyperPod for large-scale training and inference clusters, which gained a GPU-aware Inference Gateway in September 2026. This page tracks 167 recent news stories about Amazon SageMaker, curated from 30+ sources and updated every 15 minutes.

Amazon SageMaker — Coverage Momentum

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First tracked Mar 2021. Most-citing sources: AWS ML Blog (108), Medium (28), Hugging Face (9), Snowflake Builders Blog: Data Engineers, App Developers, AI, & Data Science (2). Data aggregated by Best AI News Today from 30+ sources.

167 stories
1 of 5 Top Stories
AI and Machine Learning on AWS Explained: SageMaker, Bedrock, and Building Real AI Applications
Media

AI and Machine Learning on AWS Explained: SageMaker, Bedrock, and Building Real AI Applications

by Ebad Sayed — Previous Article: Advanced Cloud Architecture Explained: Microservices, Distributed Systems Patterns, and Designing for Scale

Medium faviconMedium·
Reducing medical claims review time with AI on AWS: The EXL Medical IDP solution
Research

Reducing medical claims review time with AI on AWS: The EXL Medical IDP solution

EXL built an AI-powered Medical intelligent document processing (IDP) solution on AWS, combining IDP with domain-specific large language models on Amazon SageMaker and Amazon Bedrock to extract,...

AWS ML Blog faviconAWS ML Blog·
Amazon SageMaker Inference: 2026 year-to-date launches in review
Research

Amazon SageMaker Inference: 2026 year-to-date launches in review

Amazon SageMaker AI shipped 13 inference launches in year-to-date across two deployment paths: fully managed endpoints and Amazon SageMaker HyperPod Inference. This post reviews each launch, from...

AWS ML Blog faviconAWS ML Blog·
Media

Announcing instance preference lists for Amazon SageMaker AI training jobs

Amazon Web Services (AWS) faviconAmazon Web Services (AWS)·
Media

When Collaborative Filtering Has Nothing to Collaborate On: A SageMaker Fallback Pattern

Collaborative filtering has an attractive promise: Continue reading on Level Up Coding »

Medium · Gülden Bilgütay faviconMedium · Gülden Bilgütay·
Media

Fine-Tuning π0 (Pi-Zero) for robotic manipulation on Amazon SageMaker HyperPod EKS

Amazon Web Services (AWS) faviconAmazon Web Services (AWS)·
Deploy Hugging Face models on Amazon SageMaker AI with coding agents
Research

Deploy Hugging Face models on Amazon SageMaker AI with coding agents

Deploy production-ready Hugging Face models on Amazon SageMaker AI using six open-source agent skills. Point a coding agent at a model and get back a real-time endpoint with the right serving...

AWS ML Blog faviconAWS ML Blog·
AWS and Hugging Face bring AI models to 'production deployment' with coding AI—6 agent skills released
Media

AWS and Hugging Face bring AI models to 'production deployment' with coding AI—6 agent skills released

What you will learn in this article・On September 18, 2026, AWS, in a co-authored official blog post titled "Deploy Hugging Face models on Amazon SageMaker AI with coding agents," introduced six...

note faviconnote·
Hardening the ML Lifecycle: Defense-in-Depth for Amazon SageMaker and PyTorch
Media

Hardening the ML Lifecycle: Defense-in-Depth for Amazon SageMaker and PyTorch

by Alan Arantes - Enterprise & System Architect — In enterprise machine learning environments, data scientists often operate with tools that prioritize rapid iteration, notebook…

Medium faviconMedium·
Media

AI Daily Digest: Copilot Adds Routing Controls, AWS Expands Model Choices — September 15, 2026

GitHub is giving Copilot users more control over automatic model routing, while AWS is adding existing open models to SageMaker JumpStart… Continue reading on Medium »

Medium · The Provenance Report faviconMedium · The Provenance Report·
Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference
Research

Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference

Amazon SageMaker Inference now offers prefix-aware routing, a routing strategy that sends requests sharing the same prompt prefix to the same instance so the KV cache stays warm. In benchmarks on...

AWS ML Blog faviconAWS ML Blog·
Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM
Research

Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM

Learn how to deploy Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter open-weight model, on Amazon SageMaker HyperPod with vLLM. This walkthrough covers cluster provisioning, NVFP4 quantization, and an...

AWS ML Blog faviconAWS ML Blog·
Run Positron on Amazon SageMaker AI for data science workflows
Research

Run Positron on Amazon SageMaker AI for data science workflows

Positron, Posit's IDE for data science, now runs on Amazon SageMaker AI. This post shows how a data scientist explores an Amazon Athena table, validates features in R, trains an XGBoost model in...

AWS ML Blog faviconAWS ML Blog·
Media

AI's first response, from 4.4 seconds to under 800ms—AWS's new routing 'HyperPod Inference Gateway'

What you will learn in this article・On September 18, 2026, AWS announced a new routing mechanism in its official blog, "Introducing Amazon SageMaker HyperPod Inference Gateway," which distributes ...

note faviconnote·
Build an AI-powered product tagging system with Amazon SageMaker serverless model customization
Research

Build an AI-powered product tagging system with Amazon SageMaker serverless model customization

Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning (SFT) and reinforcement learning with verifiable...

AWS ML Blog faviconAWS ML Blog·
Media

Making Sense of the AWS Generative AI and Agentic AI Stack in 2026

Bedrock, AgentCore, Strands, MCP, Agent Toolkit, SageMaker AI, Nova — and how they actually fit together Continue reading on Medium »

Medium · brijesh luckria faviconMedium · brijesh luckria·
Reduce inference cold starts on Amazon SageMaker HyperPod with model caching
Research

Reduce inference cold starts on Amazon SageMaker HyperPod with model caching

Amazon SageMaker HyperPod now supports model caching for inference, which pre-loads model weights and container images onto cluster nodes so pods read from local NVMe storage instead of downloading...

AWS ML Blog faviconAWS ML Blog·
The Ultimate AWS Machine Learning Engineer — Associate: Study Guide with Updates — MLA-C02 (beta)
Media

The Ultimate AWS Machine Learning Engineer — Associate: Study Guide with Updates — MLA-C02 (beta)

by Vishal Mishra — ML fundamentals, SageMaker, deployment choices, MLOps, and the scenario patterns I am focusing on for MLA-C01

Medium faviconMedium·

Frequently Asked Questions

What is Amazon SageMaker?

Amazon SageMaker is Amazon SageMaker is AWS's managed platform for building, training, fine-tuning and deploying machine-learning and generative-AI models, now branded Amazon SageMaker AI. It includes SageMaker JumpStart, a hub of ready-to-deploy models such as NVIDIA's Nemotron family, and SageMaker HyperPod for large-scale training and inference clusters, which gained a GPU-aware Inference Gateway in September 2026.

Where can I access Amazon SageMaker?

Amazon SageMaker is available at https://aws.amazon.com/sagemaker/. It's developed by AWS.

What is the latest news about Amazon SageMaker?

As of today, there are 167 recent stories about Amazon SageMaker. Recent headlines include: AI and Machine Learning on AWS Explained: SageMaker, Bedrock, and Building Real AI Applications; Deploy Hugging Face models on Amazon SageMaker AI with coding agents; Run Positron on Amazon SageMaker AI for data science workflows. This page is updated every 15 minutes.

Is Amazon SageMaker open source?

No — Amazon SageMaker is a proprietary product. The source code is not publicly available.