Ray

Ray

Anyscale
+
+

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About

​JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. JAX also integrates with various libraries within its ecosystem, such as Flax for neural networks and Optax for optimization tasks. Comprehensive documentation, including tutorials and user guides, is available to assist users in leveraging JAX's full potential. ​

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 Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Audience

Professional researchers and developers searching for a solution to manage their numerical computing and machine learning operations in Python

Audience

ML and AI Engineers, Software Developers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source. Consumption-based.
Free Version Supported
Free Trial Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

JAX
United States
docs.jax.dev/en/latest/

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

Alternatives

Apache Mahout

Apache Mahout

Apache Software Foundation
DeepSpeed

DeepSpeed

Microsoft
Gensim

Gensim

Radim Řehůřek

Categories

Categories

Deep Learning Supported
Machine Learning Supported

Integrations

Python Supported
TensorFlow Supported
AWS EC2 Trn3 Instances Supported
Amazon EKS Not Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
Anyscale Not Supported
Azure Kubernetes Service (AKS) Not Supported
Databricks Not Supported
Equinox Supported
Gemma 3n Supported
Google Cloud Platform Not Supported
Google Kubernetes Engine (GKE) Not Supported
Grain Supported
Hugging Face Supported
Keras Supported
Kubernetes Not Supported
LanceDB Not Supported
PyTorch Not Supported
Thunder Compute Supported

Integrations

Python Supported
TensorFlow Supported
AWS EC2 Trn3 Instances Not Supported
Amazon EKS Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Anyscale Supported
Azure Kubernetes Service (AKS) Supported
Databricks Supported
Equinox Not Supported
Gemma 3n Not Supported
Google Cloud Platform Supported
Google Kubernetes Engine (GKE) Supported
Grain Not Supported
Hugging Face Not Supported
Keras Not Supported
Kubernetes Supported
LanceDB Supported
PyTorch Supported
Thunder Compute Not Supported
Claim JAX and update features and information
Claim JAX and update features and information
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Claim Ray and update features and information