Ray

Ray

Anyscale
+
+

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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.

About

NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI.

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

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

Audience

ML and AI Engineers, Software Developers

Audience

Enterprises and AI teams seeking to optimize and scale GPU resources for AI training and inference across hybrid and multi-cloud environments

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 Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

No information available.
Free Version Not Supported
Free Trial Not 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 Supported
Live Online Supported
In Person Supported

Training

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

Company Information

Anyscale
Founded: 2019
United States
ray.io

Company Information

NVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/software/run-ai/

Alternatives

Alternatives

Categories

Deep Learning Supported
Machine Learning Supported

Categories

AI Fine-Tuning Supported
AI Inference Supported
AI Infrastructure Supported
AI Orchestration Supported
Cloud GPU Supported
Cluster Management Supported
Deep Learning Supported
Virtualization Supported

Integrations

Amazon EC2 Trn2 Instances Supported
Amazon EKS Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Apache Airflow Supported
Dask Supported
Databricks Supported
Feast Supported
Flyte Supported
Google Kubernetes Engine (GKE) Supported
HPE Ezmeral Not Supported
Kubernetes Supported
LanceDB Supported
MLflow Supported
PyTorch Supported
Python Supported
Snowflake Supported
TensorFlow Supported
Union Cloud Supported
io.net Supported

Integrations

Amazon EC2 Trn2 Instances Not Supported
Amazon EKS Not Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
Apache Airflow Not Supported
Dask Not Supported
Databricks Not Supported
Feast Not Supported
Flyte Not Supported
Google Kubernetes Engine (GKE) Not Supported
HPE Ezmeral Supported
Kubernetes Not Supported
LanceDB Not Supported
MLflow Not Supported
PyTorch Not Supported
Python Not Supported
Snowflake Not Supported
TensorFlow Not Supported
Union Cloud Not Supported
io.net Not Supported
Claim Ray and update features and information
Claim Ray and update features and information
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Claim NVIDIA Run:ai and update features and information