BentoML

BentoML is a unified inference platform for deploying and scaling AI systems on any model and any cloud. Open-source BentoML is a Python library that turns a model inference script into a REST API server in a few lines of code and automatically generates a Docker image. The commercial Bento Inference Platform provides deployment automation, observability, access control, autoscaling, cold start acceleration, and more, and can run in your own cloud (BYOC), on-premises, on Kubernetes, or on GPUs in Bento Cloud.

• Deploy from an open model catalog (Llama 4, DeepSeek, Qwen, GPT-OSS, Flux, etc.) in a few clicks
• Serve custom models on any architecture and framework (vLLM, TRT-LLM, SGLang, PyTorch, etc.)
• Traffic-based autoscaling, scale-to-zero, and fast cold starts
• Deploy to your own cloud (BYOC), on-premises, Kubernetes, or Bento Cloud
• LLM Gateway: a unified API for all LLM providers
• Canary, shadow, and A/B testing with rollback version management
• Dynamic batching, model parallelism, and multi-model pipelines
• Automatic Docker image generation

Usage-based pay-as-you-go (cloud/GPU)

Pay-as-you-go based on GPU/inference time or API call volume, some open-source self-hosting options available

Estimate based on AI knowledge - please verify on the official site

• One of 43 AI tools in the Inference & Compute field.
• Connected to 17 other tools — #1 in its field.