BentoML vs. Seldon Comparison


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About Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.	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 Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not 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 Companies, professionals and developers in search of a solution to simplify model deployment	Audience MLOps teams that want to deploy machine learning models at scale with more accuracy
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 Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version 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 Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information BentoML United States www.bentoml.com	Company Information Seldon Technologies Founded: 2014 United Kingdom www.seldon.io
Alternatives Domino Enterprise AI Platform Domino Data Lab	Alternatives BentoML
NVIDIA Triton Inference Server NVIDIA	Datatron
Azure Machine Learning Microsoft	KServe
Huawei Cloud ModelArts Huawei Cloud	NVIDIA Triton Inference Server NVIDIA
Amazon SageMaker Amazon View All	Gemini Enterprise Agent Platform Google View All
Categories AI Development Supported AI Infrastructure Supported Machine Learning Supported ML Model Deployment Supported	Categories AI Inference Supported Artificial Intelligence Supported Machine Learning Supported ML Model Deployment Supported

Integrations ZenML Supported AWS Lambda Supported Amazon EC2 Supported Amazon Web Services (AWS) Supported Apache Airflow Supported Apache Spark Supported Apolo Not Supported Azure Functions Supported Determined AI Not Supported Docker Supported Feast Not Supported Google Cloud Run Supported Grafana Cloud Supported Heroku Supported Kubernetes Supported Prometheus Supported PyTorch Supported Swagger Supported Tecton Not Supported TensorFlow Supported Show More Integrations View All 23 Integrations	Integrations ZenML Supported AWS Lambda Not Supported Amazon EC2 Not Supported Amazon Web Services (AWS) Not Supported Apache Airflow Not Supported Apache Spark Not Supported Apolo Supported Azure Functions Not Supported Determined AI Supported Docker Not Supported Feast Supported Google Cloud Run Not Supported Grafana Cloud Not Supported Heroku Not Supported Kubernetes Not Supported Prometheus Not Supported PyTorch Not Supported Swagger Not Supported Tecton Supported TensorFlow Not Supported Show More Integrations View All 6 Integrations
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