Banana

Scale Your AI Inference with Serverless GPUs

Banana is a specialized GPU infrastructure platform designed for AI teams who need to deploy and scale inference workloads quickly and cost-effectively. Unlike traditional serverless providers that take significant margins on GPU compute, Banana offers pass-through pricing—charging only a flat monthly rate plus the actual cost of compute, with zero markup on GPU time.

Built for High-Throughput Inference

Banana's platform is engineered specifically for teams running production AI inference at scale. The service automatically scales GPU resources up and down based on demand, ensuring optimal performance while keeping costs under control. This autoscaling capability means you only pay for the compute you actually use, without over-provisioning or dealing with idle resources.

Key Features & Capabilities:

• Autoscaling GPUs: Automatic scaling based on request volume, maintaining low costs and high performance
• Pass-through pricing: Transparent, no-markup pricing model—just a flat monthly fee plus at-cost compute
• Full DevOps platform: GitHub integration, CI/CD pipelines, CLI tools, rolling deployments, distributed tracing, and comprehensive logging
• Performance monitoring: Real-time observability with request traffic visualization, latency tracking, and error debugging
• Business analytics: Detailed spend tracking and endpoint usage monitoring to understand costs and customer patterns
• Automation API: Open API with SDKs and CLI for programmatic deployment management
• Potassium framework: Open-source HTTP framework for building inference backends your way

Who It's For

Banana is ideal for AI engineering teams deploying machine learning models in production, from startups with ambitious scaling plans to enterprises requiring high-throughput inference. The platform supports teams of up to 10 members on the Team plan, with 5 projects and up to 50 parallel GPUs, making it suitable for both growing startups and established ML operations.

Transparent, Scalable Pricing

The Team plan starts at $1,200/month plus at-cost compute, including features like custom GPU types, logging with search, autoscaling, request and business analytics, branch deployments, and multiple environments. Enterprise customers get additional features including SAML SSO, higher parallel GPU limits, customizable inference queues, and dedicated support—all while maintaining the same pass-through pricing philosophy.