Amazon SageMaker HyperPodAmazon
|
HPCWorks Grid EngineSiemens
|
|||||
Related Products
|
||||||
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/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/ai/hyperpod/
|
Company InformationSiemens
Founded: 1847
Germany
www.siemens.com/en-us/products/hpcworks/grid-engine/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
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
|
|||||
|
|
|