Amazon SageMaker HyperPodAmazon
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oneAPIIntel
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Related Products
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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.
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About
Intel oneAPI is an open, unified programming model designed to simplify development across CPUs, GPUs, and other accelerators. It provides developers with a highly productive software stack for AI, HPC, and accelerated computing workloads. oneAPI supports scalable hybrid parallelism, enabling performance portability across different hardware architectures. The platform includes optimized libraries, SYCL-based C++ extensions, and powerful developer tools for profiling, debugging, and optimization. Developers can build, optimize, and deploy applications with confidence across data centers, edge systems, and PCs. oneAPI is built on open standards to avoid vendor lock-in while maximizing performance. It empowers developers to write code once and run it efficiently everywhere.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data scientists, AI engineers, and organizations interested in a solution to accelerate training and deployment while minimizing operational overhead
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Audience
Intel oneAPI is designed for software developers, AI engineers, data scientists, and HPC professionals who need a unified, open platform to build and optimize applications across diverse computing architectures
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/ai/hyperpod/
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Company InformationIntel
Founded: 1968
United States
www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Supported
AWS EC2 Trn3 Instances
Supported
AWS Trainium
Supported
Amazon SageMaker
Supported
C++
Not Supported
Fortran
Not Supported
Python
Not Supported
Visual Studio
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
AWS EC2 Trn3 Instances
Not Supported
AWS Trainium
Not Supported
Amazon SageMaker
Not Supported
C++
Supported
Fortran
Supported
Python
Supported
Visual Studio
Supported
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