Ray

Ray

Anyscale
+
+

Related Products

  • Vertex AI
    713 Ratings
    Visit Website
  • RunPod
    133 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    374 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Google AI Studio
    4 Ratings
    Visit Website
  • LM-Kit.NET
    16 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,731 Ratings
    Visit Website
  • BytePlus Recommend
    1 Rating
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website

About

Accelerate your deep learning workload. Speed your time to value with AI model training and inference. With advancements in compute, algorithm and data access, enterprises are adopting deep learning more widely to extract and scale insight through speech recognition, natural language processing and image classification. Deep learning can interpret text, images, audio and video at scale, generating patterns for recommendation engines, sentiment analysis, financial risk modeling and anomaly detection. High computational power has been required to process neural networks due to the number of layers and the volumes of data to train the networks. Furthermore, businesses are struggling to show results from deep learning experiments implemented in silos.

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

Organizations that need a deep learning platform

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/deep-learning-platform

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services

Alternatives

Vertex AI

Vertex AI

Google
Vertex AI

Vertex AI

Google
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Integrations

AUSIS
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
Google Kubernetes Engine (GKE)
IBM Intelligent Video Analytics
Kubernetes
PyTorch
Snowflake
Union Cloud
io.net

Integrations

AUSIS
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
Google Kubernetes Engine (GKE)
IBM Intelligent Video Analytics
Kubernetes
PyTorch
Snowflake
Union Cloud
io.net
Claim IBM Watson Machine Learning Accelerator and update features and information
Claim IBM Watson Machine Learning Accelerator and update features and information
Claim Ray and update features and information
Claim Ray and update features and information