BentoML vs. Deeploy 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 Deeploy helps you to stay in control of your ML models. Easily deploy your models on our responsible AI platform, without compromising on transparency, control, and compliance. Nowadays, transparency, explainability, and security of AI models is more important than ever. Having a safe and secure environment to deploy your models enables you to continuously monitor your model performance with confidence and responsibility. Over the years, we experienced the importance of human involvement with machine learning. Only when machine learning systems are explainable and accountable, experts and consumers can provide feedback to these systems, overrule decisions when necessary and grow their trust. That’s why we created Deeploy.
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 Companies interested in an AI platform that creates the opportunities to implement explainable, accountable, and manageable Machine Learning models
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 Not Supported Webinars Not Supported Live Online Supported In Person Not Supported
Company Information BentoML United States www.bentoml.com	Company Information Deeploy Founded: 2020 Netherlands www.deeploy.ml/
Alternatives Domino Enterprise AI Platform Domino Data Lab	Alternatives Azure Machine Learning Microsoft
NVIDIA Triton Inference Server NVIDIA	Amazon SageMaker Amazon
Azure Machine Learning Microsoft	Gemini Enterprise Agent Platform Google
Huawei Cloud ModelArts Huawei Cloud	Predibase
Amazon SageMaker Amazon View All	Dataiku View All
Categories AI Development Supported AI Infrastructure Supported Machine Learning Supported ML Model Deployment Supported	Categories AI Development Supported AI Governance Supported Machine Learning Supported ML Model Deployment Supported

Integrations AWS Lambda Supported AWS Marketplace Not Supported Amazon EC2 Supported Amazon SageMaker Supported Amazon Web Services (AWS) Supported Apache Airflow Supported Apache Spark Supported Azure Container Registry Supported Azure Functions Supported Docker Supported Google Cloud Run Supported Google Compute Engine Supported Grafana Cloud Supported Keras Supported NVIDIA DRIVE Supported Prometheus Supported PyTorch Supported Swagger Supported TensorFlow Supported ZenML Supported Show More Integrations View All 23 Integrations	Integrations AWS Lambda Not Supported AWS Marketplace Supported Amazon EC2 Not Supported Amazon SageMaker Not Supported Amazon Web Services (AWS) Not Supported Apache Airflow Not Supported Apache Spark Not Supported Azure Container Registry Not Supported Azure Functions Not Supported Docker Not Supported Google Cloud Run Not Supported Google Compute Engine Not Supported Grafana Cloud Not Supported Keras Not Supported NVIDIA DRIVE Not Supported Prometheus Not Supported PyTorch Not Supported Swagger Not Supported TensorFlow Not Supported ZenML Not Supported Show More Integrations View All 1 Integration
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