RayAnyscale
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Related Products
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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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About
supercomputer is a hosted cloud-compute service that provides GPU and CPU sessions for machine-learning and other compute-intensive workloads. Developers, researchers, and teams can launch and manage sessions from a command-line interface or Python SDK, run code on configurable GPU instances, and preserve workspace files between sessions. The service supports model training and fine-tuning, inference, experiments, evaluations, batch processing, hyperparameter sweeps, and data-processing jobs. Users can upload scripts and datasets, execute commands in persistent sessions, and retrieve results or save them in shared volumes. Compute charges accrue only while sessions are running, and stopped sessions retain their workspace for later use. The service uses prepaid credits and bills compute by the second, with rates varying by GPU configuration.
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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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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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Audience
ML and AI Engineers, Software Developers
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Audience
Developers, researchers, and teams running GPU-accelerated machine-learning and other compute-intensive workloads.
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Support
Phone Support
Not 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
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Free
Open source. Consumption-based.
Free Version
Supported
Free Trial
Supported
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PricingCompute is billed by the second from a prepaid balance. Stopped sessions incur no compute charges.
Free Version
Not Supported
Free Trial
Not 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
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAnyscale
Founded: 2019
United States
ray.io
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Company Informationsupercomputer
supercomputer.sh/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Amazon EC2 Trn2 Instances
Supported
Amazon EKS
Supported
Amazon Web Services (AWS)
Supported
Anyscale
Supported
Apache Airflow
Supported
Azure Kubernetes Service (AKS)
Supported
Dask
Supported
Databricks
Supported
Feast
Supported
Flyte
Supported
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Integrations
Amazon EC2 Trn2 Instances
Not Supported
Amazon EKS
Not Supported
Amazon Web Services (AWS)
Not Supported
Anyscale
Not Supported
Apache Airflow
Not Supported
Azure Kubernetes Service (AKS)
Not Supported
Dask
Not Supported
Databricks
Not Supported
Feast
Not Supported
Flyte
Not Supported
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