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About

Amazon SageMaker HyperPod is a purpose-built, resilient compute infrastructure that simplifies and accelerates the development of large AI and machine-learning models by handling distributed training, fine-tuning, and inference across clusters with hundreds or thousands of accelerators, including GPUs and AWS Trainium chips. It removes the heavy lifting involved in building and managing ML infrastructure by providing persistent clusters that automatically detect and repair hardware failures, automatically resume workloads, and optimize checkpointing to minimize interruption risk, enabling months-long training jobs without disruption. HyperPod offers centralized resource governance; administrators can set priorities, quotas, and task-preemption rules so compute resources are allocated efficiently among tasks and teams, maximizing utilization and reducing idle time. It also supports “recipes” and pre-configured settings to quickly fine-tune or customize foundation models.

About

HPCWorks Grid Engine is a Siemens workload management solution designed to optimize distributed computing resources and improve performance across large HPC environments. It helps organizations increase throughput, manage shared resources, and support demanding workloads across on-premises, cloud, and hybrid infrastructures. The platform is built to handle large-scale AI and HPC workloads and has been proven with more than one million cores. HPCWorks Grid Engine supports efficient scheduling, resource utilization, containers, services, GPUs, and license-first scheduling to reduce wait times and downtime. It works with thousands of commercial and open-source applications across industries such as life sciences, manufacturing, and energy. With monitoring, reporting, quotas, limits, and priority policies, HPCWorks Grid Engine helps organizations align computing resources with business goals.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data scientists, AI engineers, and organizations interested in a solution to accelerate training and deployment while minimizing operational overhead

Audience

HPCWorks Grid Engine is best suited for HPC administrators, IT teams, research organizations, engineering groups, AI teams, and enterprises that need scalable workload management, distributed resource optimization, and high-throughput computing support

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/ai/hyperpod/

Company Information

Siemens
Founded: 1847
Germany
www.siemens.com/en-us/products/hpcworks/grid-engine/

Alternatives

Tinker

Tinker

Thinking Machines Lab

Alternatives

HPCWorks

HPCWorks

Siemens
Device42

Device42

Device42, A Freshworks Company
Tune Studio

Tune Studio

NimbleBox

Categories

Categories

Integrations

AWS EC2 Trn3 Instances
AWS Trainium
Amazon SageMaker
Amazon Web Services (AWS)
HPCWorks Monitor

Integrations

AWS EC2 Trn3 Instances
AWS Trainium
Amazon SageMaker
Amazon Web Services (AWS)
HPCWorks Monitor
Claim Amazon SageMaker HyperPod and update features and information
Claim Amazon SageMaker HyperPod and update features and information
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Claim HPCWorks Grid Engine and update features and information