Mirai

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Mirai is an AI Frameworks & Infra tool that enables running AI models directly on Apple devices. It offers fast inference for Apple Silicon, allowing for offline and private model execution on Mac, iPhone, and iPad.

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At a glance

Pricing

Likely Not Free

Free tier

API

Yes

Skill level

Technical

About

What is Mirai?

Mirai is an AI platform designed to convert, optimize, distribute, and run AI models with the fastest inference engine on Apple Silicon. It allows developers to deploy models on Mac, iPhone, and iPad, ensuring offline and private execution. Mirai offers one-line model conversion, quantization with high quality, and supports various architectures. It leverages the full potential of Apple Silicon's Neural Engine and unified memory bandwidth for real-time generation on devices. The platform supports use cases like text summarization, classification, routing, and translation, with upcoming voice features. Mirai also enables seamless distribution, zero inference cost, and keeps data on the device, making it ideal for applications requiring privacy and low latency.

Best used for

Ideal for developers who need to deploy AI models on Apple devices, optimize model performance for edge computing, and ensure data privacy through local inference. Especially valuable for creating applications that require real-time AI capabilities without relying on cloud infrastructure, such as offline translation or on-device summarization.

Common actions

deploy AI models

optimize AI inference

run models on device

convert AI models

distribute AI models

startup toolsAI chatbots

Capabilities

Key features

Convert AI models
Optimize for Apple Silicon
Distribute to Apple devices
Run models offline
Quantize models
Fast inference engine
Route models

Target Audience

developer

Integrations

hugging-face

Pricing & Plans

Likely Not Free

Freemium

FAQs

Which Apple devices are supported by Mirai?

Mirai supports running AI models on all Apple devices, including iPhone, iPad, and Mac. It provides a single conversion pipeline and SDK to reach every Apple device, ensuring broad compatibility for your applications.

How does Mirai ensure data privacy and reduce inference costs?

Mirai enables offline inference by default, meaning models run directly on the user's device. This approach ensures that data stays on the device, enhancing privacy, and eliminates cloud inference costs, making it a cost-effective solution.

What types of AI models can be converted and run using Mirai?

Mirai supports a wide range of models from various providers, including Qwen 3, Gemma-3, Llama-3.2, and DeepSeek-R1. It offers a conversion pipeline to optimize these models for Apple Silicon, allowing for efficient on-device execution.

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Coding & Development › DevOps & Infrastructure

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