All-in-one productivity platform for tasks, docs, goals, and team collaboration
Key facts
Pricing
Freemium
Use cases
iOS and Mac developers needing to integrate local AI inference into their applications for offline continuity (verified: 2026-01-29), Product teams requiring automated model conversion and quantization for deployment on Apple hardware (verified: 2026-01-29), Software engineers building real-time AI experiences for text, audio, and vision tasks using on-device processing (verified: 2026-01-29)
Strengths
The SDK provides a drop-in solution for both local and cloud inference with automated model conversion and quantization (verified: 2026-01-29), Developers can implement local-first workflows for text, audio, and vision models to ensure fast responses and offline functionality (verified: 2026-01-29), The platform supports a wide range of state-of-the-art models including Llama, Qwen, DeepSeek, Gemma, and Polaris (verified: 2026-01-29)
Limitations
The service requires integration with the specific Mirai SDK which is designed exclusively for Apple ecosystem devices (verified: 2026-01-29), The free tier of the SDK is limited to deployment on a maximum of 10,000 devices (verified: 2026-01-29)
Last verified
Jan 29, 2026
Strengths
- The SDK provides a drop-in solution for both local and cloud inference with automated model conversion and quantization (verified: 2026-01-29)
- Developers can implement local-first workflows for text, audio, and vision models to ensure fast responses and offline functionality (verified: 2026-01-29)
- The platform supports a wide range of state-of-the-art models including Llama, Qwen, DeepSeek, Gemma, and Polaris (verified: 2026-01-29)
Limitations
- The service requires integration with the specific Mirai SDK which is designed exclusively for Apple ecosystem devices (verified: 2026-01-29)
- The free tier of the SDK is limited to deployment on a maximum of 10,000 devices (verified: 2026-01-29)
FAQ
What types of AI models are supported by the Mirai SDK for on-device deployment?
The Mirai SDK supports all major state-of-the-art models including Llama, Qwen, DeepSeek, Gemma, Polaris, and models sourced from HuggingFace. It handles the necessary model conversion and quantization to ensure these models run efficiently on local Apple hardware (verified: 2026-01-29).
How does Mirai handle the technical process of preparing models for local inference?
Mirai automates the model conversion and quantization processes, allowing developers to integrate modern AI pipelines into their apps in minutes. This drop-in SDK manages the complexities of local and cloud inference for text, audio, and vision workflows (verified: 2026-01-29).
Is there a free version available for developers to test the Mirai SDK?
Yes, developers can try the Mirai SDK for free. The free tier allows for deployment on up to 10,000 devices, providing access to the on-device layer for AI model makers and product teams (verified: 2026-01-29).
