BentoML Insights

What is BentoML?

BentoML is a framework for building and deploying machine learning models. It simplifies the process of packaging, serving, and managing models, making it easier to deploy them into production environments. It allows users to define a 'Bento' which encapsulates the model, its dependencies, and serving logic, and provides tools for building, testing, and deploying these Bentos to various platforms.

Find organizations using BentoML on Sumble →

What other technologies are related to BentoML?

BentoML Competitor Technologies

Kubeflow

Kubeflow is an end-to-end MLOps platform that includes model serving capabilities, overlapping with BentoML's functionalities in model deployment and management.

mentioned alongside BentoML in 1% (162) of relevant job posts

MLFlow

MLflow provides model serving capabilities, particularly with MLflow Models, competing with BentoML's model deployment features.

mentioned alongside BentoML in 1% (146) of relevant job posts

Flask

Flask is a micro web framework that can be used for creating APIs and deploying simple models, acting as an alternative for simple model serving cases which is also covered by BentoML.

mentioned alongside BentoML in 0% (63) of relevant job posts

BentoML Complementary Technologies

DVC

DVC (Data Version Control) is a tool for data and model versioning, which complements BentoML's model serving capabilities by providing a robust way to manage model artifacts.

mentioned alongside BentoML in 3% (61) of relevant job posts

Ray

Ray is a distributed computing framework that can be used to build and scale machine learning applications. BentoML can leverage Ray for distributed model serving and pre/post processing.

mentioned alongside BentoML in 1% (55) of relevant job posts

HuggingFace

Hugging Face provides pre-trained models and tools for natural language processing, which can be easily integrated into BentoML services for NLP-related tasks.

mentioned alongside BentoML in 0% (51) of relevant job posts