Ray

Ray

Anyscale
Seldon

Seldon

Seldon Technologies
+
+

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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

Deploy machine learning models at scale with more accuracy. Turn R&D into ROI with more models into production at scale, faster, with increased accuracy. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Deploy reduces the time to production by providing production grade inference servers optimized for popular ML framework or custom language wrappers to fit your use cases. Seldon Core Enterprise provides access to cutting-edge, globally tested and trusted open source MLOps software with the reassurance of enterprise-level support. Seldon Core Enterprise is for organizations requiring: - Coverage across any number of ML models deployed plus unlimited users - Additional assurances for models in staging and production - Confidence that their ML model deployments are supported and protected.

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

ML and AI Engineers, Software Developers

Audience

MLOps teams that want to deploy machine learning models at scale with more accuracy

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

Free
Free Version
Free Trial

Pricing

No information available.
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

Anyscale
Founded: 2019
United States
ray.io

Company Information

Seldon Technologies
Founded: 2014
United Kingdom
www.seldon.io

Alternatives

Alternatives

Vertex AI

Vertex AI

Google
AWS Neuron

AWS Neuron

Amazon Web Services
Vertex AI

Vertex AI

Google

Categories

Categories

Integrations

Feast
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon Web Services (AWS)
Anyscale
Apolo
Azure Kubernetes Service (AKS)
Comet
Dask
Databricks Data Intelligence Platform
Determined AI
Flyte
Google Cloud Platform
Google Kubernetes Engine (GKE)
LanceDB
MLflow
Snowflake
Union Cloud
ZenML
io.net

Integrations

Feast
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon Web Services (AWS)
Anyscale
Apolo
Azure Kubernetes Service (AKS)
Comet
Dask
Databricks Data Intelligence Platform
Determined AI
Flyte
Google Cloud Platform
Google Kubernetes Engine (GKE)
LanceDB
MLflow
Snowflake
Union Cloud
ZenML
io.net
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Claim Ray and update features and information
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