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Ray Serve
productmodel_serving
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Overview
Developed byAnyscale
Maintained byRay Project
LicenseApache License 2.0
Open source✓ Open Source
Use caseModel serving and deployment
Technical
Protocols
HTTPgRPC
Integrates with
FastAPI
Also see
Alternative to
TorchServeTensorFlow Serving
Based onRay framework
Knowledge graph stats
Claims38
Avg confidence93%
Avg freshness99%
Last updatedUpdated yesterday
Trust distribution
100% unverified
Governance
Not assessed
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Ray Serve

product

Scalable model serving library built on Ray for deploying machine learning models with autoscaling capabilities.

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based on

ValueTrustConfidenceFreshnessSources
Ray framework○UnverifiedHighFresh1
Ray○UnverifiedHighFresh1
Ray distributed computing framework○UnverifiedHighFresh1

primary use case

ValueTrustConfidenceFreshnessSources
Model serving and deployment○UnverifiedHighFresh1
Machine Learning Model Serving○UnverifiedHighFresh1
model serving and inference○UnverifiedHighFresh1
scalable machine learning model serving○UnverifiedHighFresh1
scalable model serving and deployment○UnverifiedHighFresh1

requires

ValueTrustConfidenceFreshnessSources
Ray Core○UnverifiedHighFresh1
Python○UnverifiedHighFresh1

part of

ValueTrustConfidenceFreshnessSources
Ray ecosystem○UnverifiedHighFresh1
Ray framework○UnverifiedHighFresh1

open source

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

maintained by

ValueTrustConfidenceFreshnessSources
Ray Project○UnverifiedHighFresh1

pricing model

ValueTrustConfidenceFreshnessSources
Free○UnverifiedHighFresh1

supports framework

ValueTrustConfidenceFreshnessSources
PyTorch○UnverifiedHighFresh1
TensorFlow○UnverifiedHighFresh1
scikit-learn○UnverifiedHighFresh1

license type

ValueTrustConfidenceFreshnessSources
Apache License 2.0○UnverifiedHighFresh1

supports protocol

ValueTrustConfidenceFreshnessSources
HTTP○UnverifiedHighFresh1
gRPC○UnverifiedHighFresh1

developed by

ValueTrustConfidenceFreshnessSources
Anyscale○UnverifiedHighFresh1

supports deployment target

ValueTrustConfidenceFreshnessSources
Kubernetes○UnverifiedHighFresh1

deployment target

ValueTrustConfidenceFreshnessSources
Kubernetes○UnverifiedHighFresh1

integrates with

ValueTrustConfidenceFreshnessSources
FastAPI○UnverifiedHighFresh1

supports deployment

ValueTrustConfidenceFreshnessSources
autoscaling○UnverifiedHighFresh1
Kubernetes○UnverifiedModerateFresh1

supports model

ValueTrustConfidenceFreshnessSources
TensorFlow○UnverifiedHighFresh1
PyTorch○UnverifiedHighFresh1
scikit-learn○UnverifiedModerateFresh1

written in

ValueTrustConfidenceFreshnessSources
Python○UnverifiedHighFresh1

alternative to

ValueTrustConfidenceFreshnessSources
TorchServe○UnverifiedModerateFresh1
TensorFlow Serving○UnverifiedModerateFresh1

runs on

ValueTrustConfidenceFreshnessSources
Kubernetes○UnverifiedModerateFresh1

Alternatives & Similar Tools

TorchServe
alternative to
Compare →
TensorFlow Serving
alternative to
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Commonly Used With

FastAPI

Related entities

Claim count: 38Last updated: 4/9/2026Edit history