BentoML vs. Modular 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 Modular is a unified AI inference platform designed to run models efficiently across diverse hardware environments. It enables developers to deploy and scale AI workloads on GPUs, CPUs, and ASICs using a single, integrated stack. The platform optimizes performance from low-level GPU kernels to high-level API endpoints. Modular supports both managed cloud deployments and self-hosted environments, offering flexibility for different use cases. It allows users to run open-source or custom models with high performance and cost efficiency. With features like hardware portability and dynamic scaling, it reduces vendor lock-in and infrastructure complexity. By combining performance optimization and deployment simplicity, Modular helps teams build and run AI applications at scale.
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 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 AI engineers, developers, and enterprises building and deploying high-performance AI models who need scalable, hardware-flexible inference infrastructure
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 Not 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 Modular Founded: 2022 United States www.modular.com
Alternatives Domino Enterprise AI Platform Domino Data Lab	Alternatives Google Cloud AI Infrastructure Google
NVIDIA Triton Inference Server NVIDIA	Together AI
Azure Machine Learning Microsoft	CoreWeave
Huawei Cloud ModelArts Huawei Cloud	VESSL AI
Amazon SageMaker Amazon View All	Vercel View All
Categories AI Development Supported AI Infrastructure Supported Machine Learning Supported ML Model Deployment Supported	Categories AI Agent Infrastructure Supported AI Development Supported AI Inference Supported AI Infrastructure Supported Artificial Intelligence Supported

Integrations Amazon SageMaker Supported Amazon Web Services (AWS) Supported Apache Airflow Supported Azure Container Registry Supported Azure Functions Supported Docker Supported Google Cloud Run Supported Google Compute Engine Supported Grafana Cloud Supported H2O.ai Supported Heroku Supported Keras Supported Kubernetes Supported Mojo Not Supported NVIDIA DRIVE Supported Prometheus Supported PyTorch Supported Swagger Supported TensorFlow Supported ZenML Supported Show More Integrations View All 23 Integrations	Integrations Amazon SageMaker Not Supported Amazon Web Services (AWS) Not Supported Apache Airflow 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 H2O.ai Not Supported Heroku Not Supported Keras Not Supported Kubernetes Not Supported Mojo 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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