Banana

Banana is an AI infrastructure platform that helps teams deploy and scale high-throughput AI inference workloads using GPU-powered infrastructure. They enable developers to run inference with autoscaling GPUs, optimize performance, and control costs with pass-through pricing, making it easier to handle production-level AI systems without complex setup. The platform is designed for speed and scalability with serverless GPU execution, real-time scaling, and developer-friendly deployment workflows, allowing teams to ship AI applications faster.

They provide a full-stack environment with GitHub integration, CI/CD pipelines, CLI tools, and rolling deployments, enabling seamless development and release cycles. Users can monitor systems using built-in observability, real-time traffic insights, latency tracking, and debugging tools, while also managing costs with business analytics and usage tracking dashboards. With an open API, SDK support, and Potassium framework for backend development, they allow teams to automate workflows and build flexible AI systems at scale.

And the best part? They offer a Team plan at $1200/month plus at-cost compute, along with custom Enterprise pricing.