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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

Intel® Tiber™ AI Cloud is a powerful platform designed to scale AI workloads with advanced computing resources. It offers specialized AI processors, such as the Intel Gaudi AI Processor and Max Series GPUs, to accelerate model training, inference, and deployment. Optimized for enterprise-level AI use cases, this cloud solution enables developers to build and fine-tune models with support for popular libraries like PyTorch. With flexible deployment options, secure private cloud solutions, and expert support, Intel Tiber™ ensures seamless integration, fast deployment, and enhanced model performance.

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

AI developers, enterprises, and research teams seeking high-performance cloud computing solutions for building, optimizing, and deploying AI models at scale

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

Free
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

Intel
Founded: 1968
United States
ai.cloud.intel.com

Alternatives

Tinker

Tinker

Thinking Machines Lab

Alternatives

Categories

Categories

Integrations

AWS EC2 Trn3 Instances
AWS Trainium
Advantech Intelligent Kitchen Display System
Amazon SageMaker
Amazon Web Services (AWS)
Arm DDT
BCM One
BeyondTrust Cloud Privilege Broker
DeepSeek R1
HP Advance
Intel Open Edge Platform
Intel Tiber AI Studio
Jupyter Notebook
JupyterLab
PyTorch

Integrations

AWS EC2 Trn3 Instances
AWS Trainium
Advantech Intelligent Kitchen Display System
Amazon SageMaker
Amazon Web Services (AWS)
Arm DDT
BCM One
BeyondTrust Cloud Privilege Broker
DeepSeek R1
HP Advance
Intel Open Edge Platform
Intel Tiber AI Studio
Jupyter Notebook
JupyterLab
PyTorch
Claim Amazon SageMaker HyperPod and update features and information
Claim Amazon SageMaker HyperPod and update features and information
Claim Intel Tiber AI Cloud and update features and information
Claim Intel Tiber AI Cloud and update features and information