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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

238 stories about Amazon SageMaker

3 from your feeds19 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 238 recent news stories about Amazon SageMaker, curated from 30+ sources and updated every 15 minutes.

Amazon SageMaker — Coverage Momentum

4
This month
↓89%
vs last month
200
All-time
Oct 2026
Peak month
17
26
17
33
36
4
JunJulAugSepOctNov

First tracked Mar 2021. Most-citing sources: AWS ML Blog (142), Medium (37), Hugging Face (9), Towards AI (3). Data aggregated by Best AI News Today from 30+ sources.

238 stories
1 of 5 Top Stories
Breaking
BreakingMedia

AWS adds governance, geospatial tools to Amazon SageMaker

Amazon is quietly reshaping how enterprises govern their AI systems, embedding compliance and regulatory controls directly into its most popular machine learning platform in a move that could accelerate corporate adoption of AI while simultaneously reducing the regulatory risk that has kept many Fortune 500 companies on the sidelines. The addition of geospatial capabilities to SageMaker signals AWS's growing ambition to dominate not just general-purpose AI but industry-specific applications in climate, agriculture, and urban planning—markets where location data is increasingly inseparable from competitive advantage. With these updates, Amazon is essentially saying that the future belongs to companies that can build AI faster and more responsibly at the same time.

TechTarget faviconTechTarget·
RelatedAmazon Web ServicesAWSAmazon

8 sources

Amazon Web Services (AWS) faviconAmazon Web Services (AWS)TechCrunch faviconTechCrunchBusiness Wire faviconBusiness Wire
How Amazon Marketplace evaluates content quality with Amazon SageMaker AI
Research

How Amazon Marketplace evaluates content quality with Amazon SageMaker AI

Learn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it with a vision-language model fused with OCR...

AWS ML Blog faviconAWS ML Blog·
AWS Generative AI & Machine Learning: Beginner to Advanced by VIVEK
Discussions

AWS Generative AI & Machine Learning: Beginner to Advanced by VIVEK

Master AWS AI/ML. Learn step-by-step workflows, SageMaker, and Amazon Bedrock to build, train, and deploy enterprise Generative AI models in production. to u/TheCodeArchitect

r/u_TheCodeArchitect faviconr/u_TheCodeArchitect·
Media

Securing Amazon SageMaker

Part 2: Domain User Authentication Continue reading on Medium »

Medium · Christopher B. London faviconMedium · Christopher B. London·
Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS
Research

Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS

NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding. This post explores its architecture and use cases, then...

AWS ML Blog faviconAWS ML Blog·
Announcing SOCI-indexed images for faster SageMaker AI jobs
Research

Announcing SOCI-indexed images for faster SageMaker AI jobs

Seekable OCI (SOCI) indexing for Amazon SageMaker AI training and processing jobs takes full container image download off the critical path. SageMaker AI lazy-loads your image to start containers in...

AWS ML Blog faviconAWS ML Blog·
AWS explains how to train AI agents using only 'final success or failure' with SageMaker AI. Wordle accuracy improves from 61% to 84%
Media

AWS explains how to train AI agents using only 'final success or failure' with SageMaker AI. Wordle accuracy improves from 61% to 84%

Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide" was published on the official AWS Machine Learning Blog on October 23, 2026. I have read the official article and summarized the...

note faviconnote·
RelatedAmazon
Life After SageMaker Ground Truth: How We Replaced AWS Labeling With One File and Our Own Tool
Media

Life After SageMaker Ground Truth: How We Replaced AWS Labeling With One File and Our Own Tool

by Nishara Ramasinghe — AWS shut down its labeling service in 2026. We had left months earlier. Here’s why, and what we use now.

AWS Fullstack faviconAWS Fullstack·
Build efficient agents with knowledge distillation on Amazon SageMaker AI
Research

Build efficient agents with knowledge distillation on Amazon SageMaker AI

Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale. This post shows how to use sequence-level...

AWS ML Blog faviconAWS ML Blog·
Choosing the Right Amazon SageMaker AI Instance
Media

Choosing the Right Amazon SageMaker AI Instance

by Rupal Bhatt — Recently, I was working on SageMaker and had to choose an instance for AI workload. The broad choice of instances was mind blowing. AWS…

Medium faviconMedium·
Media

5 Mistakes That Wasted Our Money on AWS SageMaker

Continue reading on AWS Fullstack »

Medium · Nishara Ramasinghe faviconMedium · Nishara Ramasinghe·
Exowatt beats frontier models on accuracy with SageMaker serverless model customization
Research

Exowatt beats frontier models on accuracy with SageMaker serverless model customization

In this post, we show how Exowatt used Amazon SageMaker AI serverless model customization to build a repeatable AI pipeline that produces task-specific fine-tuned models for two deployment targets,...

AWS ML Blog faviconAWS ML Blog·
One LLM Model, Multiple Adapters: Deploying on AWS SageMaker
Media

One LLM Model, Multiple Adapters: Deploying on AWS SageMaker

by VIJAY PRAVEEN — One LLM Model, Multiple Adapters: Deploying on Amazon SageMakerHow to serve different fine-tuned tasks from one shared model using vLLM and LoRA.Imagine you have a model that can look at an image and...

Towards AI faviconTowards AI·
Amazon SageMaker SDK Vulnerability: How S3 Bucket Ownership Can Enable Code Execution
Media

Amazon SageMaker SDK Vulnerability: How S3 Bucket Ownership Can Enable Code Execution

by Daniel Reed — A bucket name is a claim, not proof of ownership.

Medium faviconMedium·
Your ML Experiment Just Became Everyone’s Default (and How We Fixed It on SageMaker)
Media

Your ML Experiment Just Became Everyone’s Default (and How We Fixed It on SageMaker)

by Nishara Ramasinghe — Testing a new setting used to mean changing it for everyone. Here are the four simple rules that fixed it.

AWS Fullstack faviconAWS Fullstack·
Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs
Research

Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs

AWS Batch quota management is a new scheduling capability you can use to divide GPU capacity into quota shares per team or project, automatically lend idle capacity across shares, and use preemption...

AWS ML Blog faviconAWS ML Blog·
What nearly six years of Calgary 311 data said, and what the whole SageMaker pipeline cost to run
Media

What nearly six years of Calgary 311 data said, and what the whole SageMaker pipeline cost to run

by Collin Smith — MLOps + AIOps on AWS · Part 8 of 8 — the findings, the full cost receipt, what broke, and how I’d harden it for production

Medium faviconMedium·
Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3
Research

Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3

Fleet-wide computer vision needs a model per camera, not one model for the whole fleet. This post presents a working Amazon SageMaker SDK v3 reference architecture that trains, quality-gates,...

AWS ML Blog faviconAWS ML Blog·
Scoring Calgary’s open 311 requests with a model I refused to approve — shadow mode on SageMaker
Media

Scoring Calgary’s open 311 requests with a model I refused to approve — shadow mode on SageMaker

by Collin Smith — MLOps + AIOps on AWS · Part 6 of 8 — batch scoring with a model that isn’t approved for use, so the next stage can measure what it would…

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 238 recent stories about Amazon SageMaker. Recent headlines include: How Amazon Marketplace evaluates content quality with Amazon SageMaker AI; Life After SageMaker Ground Truth: How We Replaced AWS Labeling With One File and Our Own Tool; Amazon SageMaker SDK Vulnerability: How S3 Bucket Ownership Can Enable Code Execution. 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.