Banana.dev

Banana.dev Tutorial

Banana.dev is a developer platform for running AI models in production without managing GPU servers. It lets you deploy machine learning models as serverless APIs — pay only when they run, scale automatically, and avoid the hassle of GPU infrastructure. Popular for startups, AI SaaS builders, and indie devs who need fast, cheap AI hosting.

Make Money With This 💰

• Build custom AI SaaS apps hosted on Banana.dev.

• Sell API access to models you deploy (subscription-based).

Use Cases

• Startups: launch AI products without managing infra.

• Researchers: share models as APIs with collaborators.

• Indie hackers: quickly monetise custom AI models.

• Agencies: run client-specific AI models cost-effectively.

Key Features

• Serverless GPUs: scale up and down automatically.

• API-first: every model is accessible via REST API.

• Framework support: PyTorch, TensorFlow, Hugging Face, custom models.

• Lower latency with autoscaling.

• Usage-based pricing: pay only for compute time.

Getting Started

Step 1: Go to Banana.dev

Step 2: Sign up with your GitHub account.

Step 3: Upload your model code (PyTorch, TensorFlow, Hugging Face, etc.).

Step 4: Banana wraps it in a scalable API.

Step 5: Call the API from your app, just like OpenAI or Replicate.

Example Prompt (for an image model)

Type: Send a POST request with: {"prompt": "a cat wearing sunglasses on the beach"}

What you’ll see: API returns a generated image from your hosted model.

Tool Snapshot: Pros & Cautions

Best if: you’re a developer or startup running custom AI models.

Not ideal if: you only need plug-and-play AI (try Jasper, Copy.ai instead).

Pricing Snapshot

• Free tier: limited API credits.

• Pay-as-you-go: charges based on GPU usage.

• Enterprise: custom scaling and support.

🖥️ Scale with RunPod — Train and deploy AI models on powerful cloud GPUs