Tensorfuse is a serverless platform that deploys and scales AI models inside your AWS account. It handles the infrastructure so you can focus on building.

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Modalities you can deploy

Deploy and scale everything from large language models to specialized audio and video processors.

LLMs & SLMs

Serve models like OpenAI OSS, Llama 3 or Mistral for chatbots, agents, and Retrieval-Augmented Generation.

Image & Video Generation

Deploy text-to-image models like Stable Diffusion to generate visuals with a simple API call.

TTS and ASR models

Build powerful speech-to-text services with Whisper or create realistic text-to-speech applications.

Custom Models

Deploy your own custom trained models for any use case such as rerankers, embedders or voice activity detection.

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A Complete Platform for AI Workloads

Tensorfuse provides a single platform for the entire model lifecycle. It lets you:

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How does it work?

Tensorfuse runs entirely inside your own AWS account. It uses a secure cross-account IAM role to automatically provision and manage a dedicated Kubernetes (EKS) cluster within your VPC. Unlike hosted platforms, your proprietary data and models never leave your cloud perimeter. You get the simplicity of a serverless platform with the security and control of owning your infrastructure—without having to manage any of it yourself.

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Get Started

Go to the Getting Started

Install the CLI and deploy your first application in under 5 minutes.

Explore Examples on GitHub

Browse our repository of ready-to-deploy models for a wide variety of use cases.