CCloud Releases
Home
Following

Cloud Releases

Service catalogues and updates come from each provider's public product listing and announcements.

Cloud Releases - Every AWS, Azure, GCP and Cloudflare update in one feed | Product Hunt

Explore

  • Home
  • Latest updates
  • Following

About

  • About
  • Contact
  • Privacy Policy
  • Terms of Use

Providers

  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Cloudflare

Not affiliated with any cloud provider. Product names and logos belong to their owners.

  1. Providers
  2. ›Amazon Web Services
  3. ›Amazon SageMaker
  4. ›Update

Feature•Apr 17, 2026

Amazon SageMaker HyperPod now supports on-demand deep health checks

Amazon SageMakerAWS · Machine Learning

Amazon SageMaker HyperPod now supports on-demand deep health checks for Amazon EKS and Slurm-orchestrated clusters, enabling you to proactively verify GPU accelerator health on running instances at any time. HyperPod Slurm-orchestrated clusters now also support deep health checks during node provisioning, at the time of cluster creation. This capability addresses a critical challenge where even a single unhealthy node can waste hours of compute time and delay critical workloads.

With on-demand deep health checks, you can target entire instance groups or specific instances to run comprehensive hardware stress tests and connectivity tests before committing compute resources to a job. Progress and results are visible at both the instance group and instance level through the SageMaker console and APIs, providing complete visibility into GPU health, network connectivity, and multi-node communication performance. Instances undergoing checks are automatically isolated from workload scheduling and returned to service upon passing. When paired with HyperPod's automatic node recovery capability, instances that fail are automatically rebooted or replaced, ensuring cluster health.

This capability is available in all regions where Amazon SageMaker HyperPod is available. To learn more about on-demand health checks, see the documentation.

Read the original announcement↗

More from Amazon SageMaker

All Amazon SageMaker updates →
  1. Amazon SageMaker Unified Studio now supports custom Tooling blueprints

    Amazon SageMaker Unified Studio now supports custom Tooling blueprints, giving domain administrators the ability to define the foundation of every project by using their own AWS CloudFormation templates.

    Amazon SageMaker•Feature•Oct 9, 2026
  2. Amazon SageMaker Unified Studio now supports two new connection capabilities: Iceberg REST Catalog connections and IAM authentication for Amazon DocumentDB

    Amazon SageMaker Unified Studio now supports two new connection capabilities: (1) Iceberg REST Catalog (IRC) connections for external Apache Iceberg catalogs, and (2) IAM authentication for Amazon DocumentDB.

    Amazon SageMaker•Feature•Sep 28, 2026
  3. Run interactive workloads on Amazon EMR on EKS with Spark Connect

    Amazon EMR on EKS now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and…

    Amazon SageMaker•Feature•Sep 24, 2026
  4. Amazon SageMaker HyperPod now supports model caching for faster inference autoscaling and reduced cold starts

    Amazon SageMaker HyperPod now supports model caching, an inference optimization that pre-loads model weights and container images onto cluster nodes so pods start in seconds instead of minutes.

    Amazon SageMaker•Feature•Sep 11, 2026
  5. Amazon SageMaker Unified Studio now supports ODBC connections for Microsoft Power BI and other analytics tools

    Amazon SageMaker Unified Studio now supports ODBC connections, so data users can connect Microsoft Power BI and other ODBC-compatible tools directly to governed data in SageMaker Unified Studio projects using the Amazon Athena ODBC driver.

    Amazon SageMaker•Feature•Sep 11, 2026