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AirCloud is a fully distributed GPU Cloud Platform designed to deploy and operate AI inference workloads quickly and flexibly. Users can integrate models quickly through APIs, or deploy container images directly to build the runtime environment they need.

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Choose your deployment method

Air API

Integrate AI models through APIs without managing infrastructure directly. Ideal when you want to quickly integrate high-quality open-source models or run inference workloads on a usage-based basis without operational overhead.

Air Container

Deploy container images you prepare directly onto AirCloud. Ideal when you need full control over the GPU environment and runtime — for custom CUDA environments, fine-tuned model serving, or complex pipeline configurations.

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Choose your infrastructure option

AirCloud Zero

A distributed infrastructure option well suited for workloads where cost efficiency matters most.

AirCloud Plus

A dedicated infrastructure option well suited for workloads that require stability and predictable performance.
For a detailed comparison of infrastructure configuration, allocation methods, and more, see the Concepts page.

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Next steps

Quickstart

Review account setup, basic configuration, and the first steps to get started.

Authentication

Learn how to generate API keys and configure authentication.

Support

Check the support documentation if you need help while using AirCloud.