Ray

Ray

Anyscale
+
+

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About

ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. Develop in your preferred framework without worrying about downstream inferencing implications. ONNX enables you to use your preferred framework with your chosen inference engine. ONNX makes it easier to access hardware optimizations. Use ONNX-compatible runtimes and libraries designed to maximize performance across hardware. Our active community thrives under our open governance structure, which provides transparency and inclusion. We encourage you to engage and contribute.

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.

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

Individuals wanting an advanced Machine Learning solution

Audience

ML and AI Engineers, Software Developers

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

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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

ONNX
onnx.ai/

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

OpenVINO

OpenVINO

Intel

Alternatives

Vertex AI

Vertex AI

Google
Vertex AI

Vertex AI

Google
Seldon

Seldon

Seldon Technologies
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Integrations

Flyte
Amazon EKS
Amazon Web Services (AWS)
Apache Airflow
Azure Kubernetes Service (AKS)
Feast
Google Kubernetes Engine (GKE)
Groq
Intel Open Edge Platform
Kubernetes
LanceDB
LaunchX
ML.NET
MLflow
OpenVINO
PyTorch
Qualcomm AI Hub
Qualcomm Cloud AI SDK
TensorFlow
Union Cloud

Integrations

Flyte
Amazon EKS
Amazon Web Services (AWS)
Apache Airflow
Azure Kubernetes Service (AKS)
Feast
Google Kubernetes Engine (GKE)
Groq
Intel Open Edge Platform
Kubernetes
LanceDB
LaunchX
ML.NET
MLflow
OpenVINO
PyTorch
Qualcomm AI Hub
Qualcomm Cloud AI SDK
TensorFlow
Union Cloud
Claim ONNX and update features and information
Claim ONNX and update features and information
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Claim Ray and update features and information