Latest updates for Amazon Sagemaker Jumpstart

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

Recent items include:

  • Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart
  • NVIDIA Nemotron 3 Ultra now available on Amazon SageMaker JumpStart
  • Deploying quantized models on Amazon SageMaker AI with Unsloth

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aws.amazon.com /1 month ago

Fundamental’s Large Tabular Model NEXUS is now available on Amazon SageMaker JumpStart

In this post, we show you how to get started with NEXUS on Amazon SageMaker JumpStart, walk through the deployment process, and demonstrate how to run predictions against your ente...

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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 /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 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 /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 /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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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 /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 /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 /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

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 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

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 /1 month ago

Accelerate SQL development with SageMaker Data Agent in Query Editor

In this post, you learn how to use Data Agent in Query Editor to explore data, build multi-step analyses, recover from errors, and summarize results using a public education datase...

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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 /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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aws.amazon.com /1 month ago

Reducing container cold start times using SOCI index on DLAMI and DLC

In this post, we look at how to use SOCI on publicly available Deep Learning AMIs and Containers, when to use the various SOCI modes provided by the tool, and how to quickly and ef...

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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 /1 month 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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aws.amazon.com /2 weeks ago

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment steps, and show perform...

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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 /5 days ago

Fine-tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization

In this post, we explore what makes the Nemotron 3 architecture unique, walk through the fine-tuning techniques available, and show you step-by-step how to get started with serverl...

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aws.amazon.com /1 month 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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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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Sources covering Amazon Sagemaker Jumpstart

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