BentoML Has a Free API: Deploy ML Models to Production in 5 Minutes

What is BentoML? BentoML is an open-source framework for serving machine learning models. It turns any Python ML model into a production-ready API with batching, GPU support, and Docker packaging — without writing any infrastructure code. Why BentoML? Free and open-source — Apache 2.0 license Any framework — PyTorch, TensorFlow, scikit-learn, HuggingFace, XGBoost Adaptive batching — automatically batch requests for GPU efficiency Docker-ready — one command to containerize BentoCloud — managed deployment with free tier OpenLLM — specialized serving for large language models Quick Start pip install bentoml # service.py import bentoml from transformers import pipeline @bentoml.service( resources={"gpu": 1, "memory": "4Gi"}, traffic={"timeout": 60} ) class SentimentAnalysis: def __init__(self): self.classifier = pipeline( "sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english", device=0 # GPU ) @bentoml.api def classify(self, text: str) -> dict: result = self.class