A faster way to ship your models to production
BentoML combines the best developer experience with a focus on operating ML in production.
Our platform enables Data Science teams to do their best work.
Get started with BentoML today!
Scale whenever needed
Collaboration is better
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$ pip install bentoml
$ helm repo add yatai https://bentoml.github.io/yatai-chart
BentoML's open source model serving framework is blazing fast and easy to get started. Check out the tutorial and documentation for next steps.
An open platform for ML in production
BentoML is compatible across machine learning frameworks and standardizes ML model packaging and management for your team.
Python-first, scales with powerful optimizations
Maximize resource utilization across multi-stage serving pipelines.
Parallel Inference
Adaptive Batching
Dynamically group predictions requests in real-time into batches for model inference.
Accelerated Runtime
Run your model serving workloads seamless with accelerated hardware.
Yatai: Model Deployment at scale on Kubernetes
Yatai provides an open and flexible MLOps platform that streamlines the collaboration between Data Science and Engineering teams.
Yatai is a cloud native platform built to leverage BentoML and Kubernetes, offering ML teams a future-proof foundation for scaling their team or ML workload.
Ship to prod faster
Learn about how we can help accelerate your machine learning projects to production. Save time and resources by streamlining deployment for your development and production workflows.
BentoML integrates with your existing data stack and enable your ML team to continuously deploy and improve their models in production.
Try BENTOML CLOUD: The best way to deploy ML