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Banana.dev

Serverless GPU inference platform for deploying ML models at scale

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Banana.dev

Serverless GPU inference platform for deploying ML models at scale

Banana is a serverless GPU inference platform that enables developers to deploy machine learning models at scale without managing infrastructure. Developers containerize their model inference code, push it to Banana, and receive a scalable API endpoint that automatically scales GPU capacity to zero when idle and scales up on demand, eliminating the cost of always-on GPU instances. Banana supports any ML framework including PyTorch, TensorFlow, and ONNX, and is popular for deploying image generation models, NLP inference, and custom fine-tuned models. The pay-per-inference pricing model makes it economical for applications with variable or unpredictable demand.

Key Features

  • Serverless GPU inference
  • Auto-scale to zero
  • Any ML framework
  • Pay-per-inference
  • Docker-based deployment
  • Custom model hosting
#mlops#inference#serverless#gpu#deployment

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