Introduction
Getting started
This page provides an overview for Tensor One and its related features.
Tensor One is a cloud computing platform designed for AI, machine learning applications, and general compute.
Execute your code utilizing both GPU and CPU resources through Clusters, as well as Serverless computing options.
Installation
Step-by-step guides to setting up your system and installing the library.
Clusters
Learn how the Clusters running container instances.
SDKs
Extend the library with third-party plugins or write your own.
API reference
Enable custom logic integration and simplify deployments.
What are Clusters?
Clusters allows you to run your code on GPU and CPU instances with containers. Clusters are available in two different types: Secure Cloud and Community Cloud. The Secure Cloud runs in T3/T4 data centers providing high reliability and security, while the Community Cloud connects individual compute providers to consumers through a vetted, secure peer-to-peer system.
What are AI APIs?
AI APIs are fully managed and Endpoints of some of the most popular AI models. They are designed for a variety of applications including Dreambooth, Stable Diffusion, Whisper, and more.
CLI
Additionally, Tensor One has developed a Command Line Interface (CLI) tool designed specifically for quickly developing and deploying custom endpoints on the Tensor One serverless platform.
Our mission
Tensor One is committed to making cloud computing accessible and affordable to all without compromising on features, usability, or experience. We strive to empower individuals and enterprises with cutting-edge technology, enabling them to unlock the potential of AI and cloud computing.
For any general inquiries, we recommend browsing through our documentation. Our team is also available on Discord, our support chat, and by email.