Organizations Using BentoML for Model Serving, Deployment, and ML Ops
Explore organizations tagged with bentoml to find teams that package, serve, and deploy machine learning models using BentoML's model serving, model packaging, and inference pipelines; this curated list of organizations (a tags view) highlights production BentoML deployments, ML Ops integrations, and long-tail use cases such as BentoML + Kubernetes autoscaling, Dockerized model bundles, and CI/CD model release workflows. Use the filtering UI to narrow results by infrastructure, industry, deployment pattern, or integration (Kubernetes, serverless, Docker, CI/CD, monitoring) and get actionable insights into performance tuning, model versioning, and scalable inference architectures. Browse case studies, GitHub examples, and contact details to evaluate adoption trends, compare implementation patterns, and find partners or hiring leads—start filtering the organizations using bentoml to discover proven BentoML deployment strategies and accelerate production ML.
