Latest updates for Amazon Sagemaker

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

Recent items include:

  • NVIDIA Nemotron 3.5 Lightning now available in Amazon SageMaker JumpStart
  • LLM optimization integration for Amazon SageMaker Python SDK
  • Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

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aws.amazon.com /3 weeks ago

NVIDIA Nemotron 3.5 Lightning now available in Amazon SageMaker JumpStart

NVIDIA Nemotron 3.5 Lightning, an open model built for high-volume agentic workloads, is now available in Amazon SageMaker JumpStart. This post shows how to deploy the 30B Mixture-...

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aws.amazon.com /1 month ago

LLM optimization integration for Amazon SageMaker Python SDK

The Amazon SageMaker Python SDK v3 now exposes generative AI inference recommendations in Amazon SageMaker AI directly in your notebook. Benchmark an endpoint, generate data-driven...

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aws.amazon.com /4 weeks ago

Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

The Amazon SageMaker AI Spaces add-on for Amazon EKS runs managed JupyterLab and Code Editor environments on the cluster your ML team already operates. This post shows how to insta...

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aws.amazon.com /1 week ago

How ZS democratized secure ad-hoc analytics with Amazon SageMaker

Learn how ZS built a security-hardened Amazon SageMaker platform that balances developer agility with healthcare-grade governance, serving 1,000+ daily active users across 200+ Sag...

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aws.amazon.com /1 month 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

Inference meta-monitoring for Amazon SageMaker AI endpoints with Amazon Quick

Learn how to build an inference meta-monitoring system for Amazon SageMaker AI endpoints using Amazon Quick. This governance layer sits above production ML inference pipelines to c...

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aws.amazon.com /1 week ago

Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics

Self-hosted speech AI carries an observability trade-off: the numbers that drive capacity planning and cost management stay locked inside the vendor container. Deepgram closes that...

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aws.amazon.com /1 week ago

Bring your own model with Amazon SageMaker AI: Script mode in SDK v3

The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a scikit-learn Random Forest...

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aws.amazon.com /1 week ago

Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components

Learn how Salesforce used Amazon SageMaker AI Inference Component placement (the SchedulingConfig parameter) to distribute model copies across multiple Availability Zones, meeting...

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aws.amazon.com /20 hours ago

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1

Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, and lineage) into the SageMaker AI Model Registry, wit...

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aws.amazon.com /21 hours ago

Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6

Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI. Compare throughput, la...

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aws.amazon.com /3 weeks ago

Building agentic workflows with SageMaker AI and Bedrock AgentCore

Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the...

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aws.amazon.com /2 weeks ago

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake...

Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your...

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aws.amazon.com /4 weeks ago

How OneAdvanced deployed over 50 AI agents on UK-sovereign AWS

Learn how OneAdvanced, a UK enterprise software provider, built a UK-sovereign AI platform by self-hosting Llama 4 Maverick and Llama Guard 4 on Amazon SageMaker AI, with a RAG pip...

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awstip.com /4 weeks ago

Beyond EC2 and S3: 15 AWS AI and Machine Learning Services Every Cloud & DevOps Engineer Should…

When people begin learning AWS, they usually focus on services like EC2, S3, IAM, VPC, RDS, Lambda, CloudFormation, and ECS. These are the…Continue reading on AWS Tip »

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aws.amazon.com /2 weeks ago

Secure SageMaker Unified Studio access with SAML and conditional policies

Learn how to secure Amazon SageMaker Unified Studio by integrating it with an external SAML identity provider such as Okta. This post shows you how to apply conditional access poli...

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aws.amazon.com /3 weeks ago

How Jumio built a real-time feature store on AWS

Learn how Jumio built a centralized, real-time feature store on AWS with Amazon SageMaker Feature Store, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams. T...

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aws.amazon.com /2 weeks ago

Introducing new Ray capabilities on SageMaker HyperPod

Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-t...

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aws.amazon.com /2 weeks ago

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and mode...

In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGB...

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aws.amazon.com /4 days ago

Run agent-driven Amazon SageMaker HyperPod operations with InstantStart

HyperPod InstantStart is an open source control plane that composes Amazon EKS orchestration with the managed capabilities of Amazon SageMaker HyperPod. It drives the same guarded...

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aws.amazon.com /2 weeks ago

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with...

In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashb...

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aws.amazon.com /1 week ago

How Decathlon runs demand forecasting at scale with Chronos-2

Decathlon, one of the world's largest sporting goods retailers, forecasts weekly demand for tens of thousands of products across multiple continents. Learn how they deployed Chrono...

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aws.amazon.com /4 days ago

Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod

Building a Physical AI system takes a continuous pipeline, not a single training job. This post shows how to run that model factory (synthetic data generation, post-training, and c...

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aws.amazon.com /1 month ago

Deepgram enhances Amazon SageMaker AI support with AWS IAM Temporary Delegation

In this post, we cover why Deepgram built on IAM temporary delegation, how the integration works end-to-end, and what it unlocks for customers running Deepgram speech models on Sag...

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