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AirCloud is a fully distributed AI cloud platform designed to deploy and operate AI inference workloads quickly and flexibly. Users can either integrate models quickly through APIs or deploy applications and runtimes directly as containers to build the environment they need. From simple prototyping to production services, AirCloud provides multiple starting points based on different service goals and operating models. If you are new to AirCloud, we recommend first choosing the right starting point between Air API and Air Container, then evaluating AirCloud or AirCloud+ as infrastructure options based on your service requirements.

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Start building with AirCloud

Air API

A way to integrate AI models quickly through APIs without directly managing infrastructure. With usage-based pricing and autoscaling, it is well suited for inference workloads that require fast integration and simple operations.

Air Container

A deployment option that allows users to deploy their own container images on AirCloud. It is well suited for teams that need more control over runtimes, dependencies, and service configurations, as well as flexible deployment and operational control.

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Infrastructure options

AirCloud

A distributed infrastructure option for workloads where cost efficiency and flexibility matter most. It is a good fit for teams looking to run AI inference workloads at a practical cost.

AirCloud+

A dedicated infrastructure option for workloads that require stronger stability, performance, availability, and operational control. It is a good fit for enterprise environments and critical production workloads.
🛡️ ISO 27001 Certified — a strong fit for enterprise-grade security and compliance requirements.

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Which option should you choose?

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Choose your deployment method

For faster integration

Air API is the right choice if you want to integrate high-quality open-source model APIs quickly and reduce operational overhead.

For deeper control

Air Container is the right choice if you want to manage container images, runtimes, dependencies, and service configurations directly.

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Choose your infrastructure option

For cost efficiency

AirCloud is the right choice if you need flexible and cost-efficient infrastructure for AI inference workloads.

For stronger reliability

AirCloud+ is the right choice if you need higher stability, more predictable performance, and a more dedicated operating environment.

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Next steps

Quickstart

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

Air API

Learn how to integrate models and understand the API calling flow.

Support

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