Banana.dev is a platform that automatically scales GPUs for inference, offering GitHub integration, CI/CD, CLI, rolling deploys, tracing, logs, and more, with a focus on machine learning model deployment on serverless GPUs
FEATURES
📈 Scaling GPUs up and down automatically, keeping costs low and performance high.
💻 DevOps batteries included, with GitHub integration, CI/CD, CLI, rolling deploys, tracing, logs, and more.
🤖 Banana’s approach to scaling is designed to help users scale their applications without taking a cut on GPU time.
🌐 The platform aims to provide a more efficient and cost-effective solution for scaling GPUs compared to traditional serverless providers.
🔍 Banana’s focus on DevOps and automation makes it an attractive choice for developers looking to scale their applications.
USE CASES
🎮 Automatic GPU Scaling: Banana automatically scales GPUs up and down to keep costs low and performance high.
🤝 DevOps Integration: Banana offers GitHub integration, CI/CD, CLI, rolling deploys, tracing, logs, and more.
Banana is a platform that provides resources and tools for developing and deploying AI models, particularly for machine learning tasks. It offers an open-source HTTP serving framework called Potassium, which is built for AI and sponsored by Banana.
Potassium is an open-source HTTP serving framework built for AI, sponsored by Banana. It allows users to run AI models on Banana GPUs and provides a simple way to deploy and use these models.
To get started with Banana and Potassium, you can follow these steps:nstall the Banana CLI using pip3 install banana-cli .reate a new project directory with banana init my-app and change to the project directory with cd my-app .tart the dev server by running python3 app.py .all your local API using curl -X POST -H "Content-Type: application/json" -d '{"prompt": "Hello I am a MASK model."}' ... .
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