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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

RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.

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

RunPod is designed for AI developers, data scientists, and organizations looking for a scalable, flexible, and cost-effective solution to run machine learning models, offering on-demand GPU resources with minimal setup time

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

$0.40 per hour
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

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

RunPod
Founded: 2022
United States
www.runpod.io

Alternatives

Tinker

Tinker

Thinking Machines Lab

Alternatives

Vertex AI

Vertex AI

Google

Categories

Categories

Integrations

Amazon Web Services (AWS)
AWS EC2 Trn3 Instances
DeepSeek Coder
Docker
Dropbox
EXAONE
Google Cloud Platform
Google Drive
Hermes 3
Llama 2
Llama 3
Llama 3.1
Mistral 7B
Mistral AI
Phi-2
Phi-3
PyTorch
TensorFlow
TinyLlama
WaveSpeedAI

Integrations

Amazon Web Services (AWS)
AWS EC2 Trn3 Instances
DeepSeek Coder
Docker
Dropbox
EXAONE
Google Cloud Platform
Google Drive
Hermes 3
Llama 2
Llama 3
Llama 3.1
Mistral 7B
Mistral AI
Phi-2
Phi-3
PyTorch
TensorFlow
TinyLlama
WaveSpeedAI
Claim Amazon SageMaker HyperPod and update features and information
Claim Amazon SageMaker HyperPod and update features and information