Mirai is an infrastructure layer for running AI models directly on end-user devices. Developers integrate an SDK to shift inference from the cloud to local CPUs and GPUs while keeping control over their model architecture.
On-device inference and data privacy
Mirai focuses on local inference, where model outputs are computed on a user’s laptop, smartphone, or desktop. This helps reduce latency, lowers reliance on network connectivity, and avoids sending sensitive data to the cloud.
Offload cloud GPUs and scale efficiently
By moving part of the workload to client devices, cloud GPUs can be reserved for tasks that truly require centralized scaling. This approach supports product growth without a linear increase in infrastructure costs.
Tools for AI product developers
Mirai includes components designed to speed up implementation of local inference:
- SDK for integrating on-device inference into apps
- Model library
- macOS app
- Documentation and ready-made integrations to reduce rework
