BentoML

Freemium

bentoml.com

Unified model serving and deployment framework for shipping machine learning models and LLMs to production at scale.

About BentoML

BentoML is an industry-leading open-source machine learning framework engineered to streamline the packaging, serving, and deployment of artificial intelligence models in production. Designed to bridge the gap between data science experimentation and DevOps production engineering, BentoML enables teams to containerize complex machine learning models and large language models into standardized production-ready microservices.

The framework provides native support for high-throughput serving architectures, featuring automated dynamic batching, multi-model composition pipelines, and hardware-accelerated worker execution for NVIDIA GPUs. BentoML also features OpenLLM, an integrated tool for running and deploying open-source LLMs like Llama 3, Mistral, and Stable Diffusion with optimal inference performance.

BentoML is 100% open-source under the Apache 2.0 license, capable of deploying to any Kubernetes cluster, Docker container, or cloud provider. In addition, BentoCloud provides a fully managed serverless deployment platform with automated scaling to zero, offering a free developer tier with cloud credits alongside scalable commercial usage.

Key Features

Core capabilities and technical highlights of BentoML

Standardized Bento packaging bundling model weights, Python dependencies, and runtime configurations into one artifact.

Adaptive dynamic batching grouping concurrent incoming requests to maximize GPU throughput and reduce serving costs.

Native OpenLLM integration providing optimized inference runtimes for popular open-weight large language models.

BentoCloud serverless platform offering automated autoscaling, scale-to-zero economics, and observability dashboards.

Popular Use Cases

How teams, developers, and creators get value from BentoML

1Package PyTorch, TensorFlow, and Hugging Face models into standardized, reproducible production Bento containers.

2Deploy open-source large language models with automated dynamic batching and GPU acceleration in production.

3Scale AI inference services automatically from zero to dozens of GPU instances using managed BentoCloud hosting.

4Build complex multi-model pipelines chaining speech recognition, language processing, and image generation microservices.

Frequently Asked Questions

Common questions and answers regarding BentoML

Is BentoML open source?

Yes, the core BentoML framework is 100% open-source under the Apache 2.0 license, while BentoCloud is the optional managed serverless cloud platform.

What is a Bento in BentoML?

A Bento is a self-contained archive that packages model artifacts, source code, dependencies, and environment configurations ready for production deployment.

What is dynamic batching in BentoML?

Dynamic batching collects individual incoming API requests over short time windows and processes them together in a single GPU pass to boost throughput.

Can BentoML run on Kubernetes?

Yes, BentoML generates standard OCI-compliant Docker container images that can be deployed on any Kubernetes cluster via Yatai or standard manifests.

Does BentoCloud offer a free tier?

Yes, BentoCloud provides free trial credits for developers to deploy and test models on cloud GPUs before committing to paid usage.