Latest updates for Amazon Sagemaker Hyperpod

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Recent items include:

  • Best practices to run inference on Amazon SageMaker HyperPod
  • Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context wind
  • Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

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aws.amazon.com /1 month ago

Best practices to run inference on Amazon SageMaker HyperPod

This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling,...

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aws.amazon.com /1 month ago

Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context wind...

This post describes how TGS achieved near-linear scaling for distributed training and expanded context windows for their Vision Transformer-based SFM using Amazon SageMaker HyperPo...

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aws.amazon.com /1 month ago

Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes wi...

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aws.amazon.com /1 month ago

NVIDIA Nemotron 3 Nano Omni model now available on Amazon SageMaker JumpStart

Today, we are excited to announce the day zero availability of NVIDIA Nemotron 3 Nano Omni on Amazon SageMaker JumpStart. In this post, we walk through the model architecture and k...

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aws.amazon.com /3 weeks ago

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

Today, Amazon SageMaker AI introduces capacity aware instance pool for new and existing inference endpoints. You define a prioritized list of instance types, and SageMaker AI autom...

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aws.amazon.com /3 weeks ago

Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

In this post, you will learn how to secure reserved GPU capacity for short-term workloads using Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML and Amazon SageMake...

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aws.amazon.com /1 month ago

Use-case based deployments on SageMaker JumpStart

We're excited to announce the launch of Amazon SageMaker JumpStart optimized deployments. SageMaker JumpStart improved deployments address the need for rich and straightforward dep...

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venturebeat.com /1 month ago

One tool call to rule them all? New open source Python tool Runpod Flash eliminates containers for faster AI dev

Runpod, the high-performance cloud computing and GPU platform designed specifically for AI development, today launched a new open source, MIT licensed, enterprise-friendly Python p...

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aws.amazon.com /1 month ago

Amazon SageMaker AI now supports optimized generative AI inference recommendations

Today, Amazon SageMaker AI  supports optimized generative AI inference recommendations. By delivering validated, optimal deployment configurations with performance metrics, Amazon...

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dzone.com /1 week ago

Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable ne...

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aws.amazon.com /1 month ago

Get to insights faster using Notebooks in Amazon SageMaker Unified Studio

In this post, we demonstrate how Notebooks in Amazon SageMaker Unified Studio help you get to insights faster by simplifying infrastructure configuration. You'll see how to analyze...

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aws.amazon.com /1 month ago

Cost-effective multilingual audio transcription at scale with Parakeet-TDT and AWS Batch

In this post, we walk through building a scalable, event-driven transcription pipeline that automatically processes audio files uploaded to Amazon Simple Storage Service (Amazon S3...

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aws.amazon.com /1 week 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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javarevisited.blogspot.com /1 month ago

I Tried 20+ AWS SageMaker Courses: Here Are My Top 5 Recommendations for 2026

Hello guys, if you want to learn about AWS SageMaker and are looking for the best online courses, then you have come to the right place.Artificial intelligence and machine learning...

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dzone.com /1 month ago

Beyond the LLM: Why Amazon Bedrock Agents Are the New EC2 for AI Orchestration

In 2006, Amazon Web Services (AWS) launched Elastic Compute Cloud (EC2). It was a watershed moment that moved computing from physical server rooms to a scalable, virtualized utilit...

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aws.amazon.com /1 month ago

Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a st...

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aws.amazon.com /1 week ago

Build petabyte-scale synthetic test data with Amazon EMR on EC2

As data volumes grow from terabytes to petabytes, the architecture for generating synthetic data must evolve to meet increasing demands for scale, performance, and data quality. In...

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aws.amazon.com /2 days 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 /1 week 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 /2 weeks ago

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI

In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preproc...

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aws.amazon.com /3 weeks ago

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners interact with their pets remotely. To reduce costs and maintain accurac...

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aws.amazon.com /1 month ago

Omnichannel ordering with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic

In this post, we'll show you how to build a complete omnichannel ordering system using Amazon Bedrock AgentCore, an agentic platform, to build, deploy, and operate highly effective...

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dipayan-x-das.medium.com /1 week ago

When to Keep AI in Snowflake, and When to Extend to AWS: A 2026 Decision Framework

A practitioner’s view on Snowflake Cortex AI + Snowpark Container Services versus SageMaker, Bedrock, and Bedrock AgentCore — grounded in…Continue reading on Medium »

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aws.amazon.com /1 day 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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javarevisited.blogspot.com

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aws.amazon.com

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medium.com

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