NVIDIA GPU-Optimized AMIAmazon
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RayAnyscale
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Related Products
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About
The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit.
This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions.
This GPU-optimized AMI is free with an option to purchase enterprise support offered through NVIDIA AI Enterprise. For how to get support for this AMI, scroll down to 'Support Information'
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About
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
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Platforms Supported
Windows
Supported
Mac
Not 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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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Organizations and individuals in need of an optimized environment for running deep learning and data science containers
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Audience
ML and AI Engineers, Software Developers
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not 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
$3.06 per hour
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Open source. Consumption-based.
Free Version
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
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq
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Company InformationAnyscale
Founded: 2019
United States
ray.io
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Supported
Amazon EC2 Trn2 Instances
Not Supported
Amazon EKS
Not Supported
Amazon SageMaker
Not Supported
Apache Airflow
Not Supported
Azure Kubernetes Service (AKS)
Not Supported
Azure Marketplace
Supported
Dask
Not Supported
Feast
Not Supported
Flyte
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
Amazon EC2 Trn2 Instances
Supported
Amazon EKS
Supported
Amazon SageMaker
Supported
Apache Airflow
Supported
Azure Kubernetes Service (AKS)
Supported
Azure Marketplace
Not Supported
Dask
Supported
Feast
Supported
Flyte
Supported
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