Audience

Companies, professionals and developers in search of a solution to simplify model deployment

About BentoML

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.

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Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

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Ratings/Reviews

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Company Information

BentoML
United States
www.bentoml.com

Videos and Screen Captures

BentoML Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online

BentoML Frequently Asked Questions

Q: What kinds of users and organization types does BentoML work with?
Q: What languages does BentoML support in their product?
Q: What kind of support options does BentoML offer?
Q: What other applications or services does BentoML integrate with?
Q: What type of training does BentoML provide?
Q: How much does BentoML cost?

BentoML Product Features

Machine Learning

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Not Supported
Templates Not Supported
Visualization Not Supported
Statistical / Mathematical Tools Not Supported

BentoML Additional Categories