Banana

Inference hosting for AI teams who ship fast and scale faster.

Paid

Description

Banana is an AI inference hosting platform designed for teams that need to deploy and scale machine learning models rapidly. It provides serverless GPU infrastructure that automatically scales up or down based on demand, ensuring high performance while keeping operational costs low. The platform emphasizes a pass-through pricing model, charging at-cost for compute resources on top of a flat monthly rate, distinguishing itself from providers that add significant margins on GPU time.

To further support AI teams, Banana offers a comprehensive developer experience with integrated DevOps tools. This includes GitHub integration, CI/CD pipelines, a command-line interface (CLI), rolling deployments, tracing, and logging capabilities. The platform also features built-in observability for performance monitoring and debugging, business analytics to track spending and usage, and an automation API with SDKs. Developers can build their backends using Potassium, Banana's open-source HTTP framework, allowing for flexibility in model deployment.

Key Features

Autoscaling GPUs: Automatically scales GPUs up and down to manage demand, optimizing costs and performance.
Pass-through Pricing: Charges a flat monthly rate plus at-cost compute, with no markup on GPU time.
Full Platform Experience: Includes DevOps tools like GitHub integration, CI/CD, CLI, rolling deploys, tracing, and logs.
Observability: Built-in performance monitoring and debugging with real-time request traffic, latency, and error views.
Business Analytics: Tracks spend and monitors endpoint usage over time for business insights.
Automation API: Offers an open API with SDKs and a CLI for automating deployments.
Powered by Potassium: Utilizes an open-source HTTP framework for flexible backend development.