Ray

Ray

Anyscale
+
+

Related Products

  • Google Compute Engine
    1,163 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • UnForm
    19 Ratings
    Visit Website
  • Google Cloud Run
    325 Ratings
    Visit Website
  • Stonebranch
    174 Ratings
    Visit Website
  • Nalpeiron Zentitle
    28 Ratings
    Visit Website
  • MicroStation
    561 Ratings
    Visit Website
  • Cycloid
    5 Ratings
    Visit Website
  • MongoDB Atlas
    1,650 Ratings
    Visit Website
  • OpenMetal
    39 Ratings
    Visit Website

About

Deliver enterprise-class management for running compute and data-intensive distributed applications on a scalable, shared grid. IBM Spectrum Symphony® software delivers powerful enterprise-class management for running compute-intensive and data-intensive distributed applications on a scalable, shared grid. It accelerates dozens of parallel applications for faster results and better utilization of all available resources. With IBM Spectrum Symphony, you can improve IT performance, reduce infrastructure costs and expenses and quickly meet business demands. Get faster throughput and performance for compute-intensive and data-intensive analytics applications to accelerate time-to-results. Achieve higher levels of resource utilization by controlling and optimizing the massive compute power available in your technical computing systems. Reduce infrastructure, application development, deployment and management costs by gaining control of large-scale jobs.

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

Enterprises in search for a cloud management solution for running data-intensive distributed applications on a scalable, shared grid

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

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/analytics-workload-management

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

ScaleCloud

ScaleCloud

ScaleMatrix

Alternatives

Keepsake

Keepsake

Replicate

Categories

Categories

Integrations

Amazon EC2 Trn2 Instances
Amazon EKS
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Apache Airflow
Azure Kubernetes Service (AKS)
Dask
Databricks Data Intelligence Platform
Feast
Flyte
Google Cloud Platform
IBM Cloud
Kubernetes
MLflow
PyTorch
Python
TensorFlow
Union Cloud
io.net

Integrations

Amazon EC2 Trn2 Instances
Amazon EKS
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Apache Airflow
Azure Kubernetes Service (AKS)
Dask
Databricks Data Intelligence Platform
Feast
Flyte
Google Cloud Platform
IBM Cloud
Kubernetes
MLflow
PyTorch
Python
TensorFlow
Union Cloud
io.net
Claim IBM Spectrum Symphony and update features and information
Claim IBM Spectrum Symphony and update features and information
Claim Ray and update features and information
Claim Ray and update features and information