BentoML

Spec sheet

Purpose

BentoML is a unified inference platform for deploying and scaling AI models with production-grade reliability.Read 29 Sep 2026 · docs.bentoml.com

Deployment

The platform supports deployment to BentoCloud and deployment in a user’s cloud environment.Read 29 Sep 2026 · docs.bentoml.com

Trial

The documentation says users can sign up for BentoCloud to get a free trial; it does not state the trial duration.Read 29 Sep 2026 · docs.bentoml.com

Integrations

Documented integrations include PyTorch, Transformers, TensorFlow, MLflow, XGBoost, Ray, and ONNX.Read 29 Sep 2026 · docs.bentoml.com

Founded

2019Read 23 Sep 2026 · bentoml.com

Community support

BentoML directs users to its community forum, GitHub project, and release notes for updates and support resources.Read 29 Sep 2026 · docs.bentoml.com

GPU support

BentoML documentation describes running model inference on GPUs.Read 29 Sep 2026 · docs.bentoml.com

Model serving

BentoML packages and serves custom models as online API services.Read 29 Sep 2026 · docs.bentoml.com

Monitoring

BentoML documentation includes monitoring, logging, metrics, and tracing topics.Read 29 Sep 2026 · docs.bentoml.com

OpenAI compatibility

A featured example serves large language models with OpenAI-compatible APIs and a vLLM inference backend.Read 29 Sep 2026 · docs.bentoml.com

Scaling

BentoCloud documentation includes concurrency configuration and autoscaling.Read 29 Sep 2026 · docs.bentoml.com

Security controls

BentoCloud documentation includes managing secrets and API tokens, and administering users.Read 29 Sep 2026 · docs.bentoml.com

Serving capabilities

The documentation lists adaptive batching, model composition, async task queues, streaming responses, and WebSocket endpoints.Read 29 Sep 2026 · docs.bentoml.com

Plans and prices

Every BentoML plan and price →

Where Specifiction places it

• Model Hosting#3 of 258.0