LiteRT

LiteRT

Google
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About

LiteRT (Lite Runtime), formerly known as TensorFlow Lite, is Google's high-performance runtime for on-device AI. It enables developers to deploy machine learning models across various platforms and microcontrollers. LiteRT supports models from TensorFlow, PyTorch, and JAX, converting them into the efficient FlatBuffers format (.tflite) for optimized on-device inference. Key features include low latency, enhanced privacy by processing data locally, reduced model and binary sizes, and efficient power consumption. The runtime offers SDKs in multiple languages such as Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating integration into diverse applications. Hardware acceleration is achieved through delegates like GPU and iOS Core ML, improving performance on supported devices. LiteRT Next, currently in alpha, introduces a new set of APIs that streamline on-device hardware acceleration.

About

Mirai is a developer-focused on-device AI infrastructure platform designed to convert, optimize, and run machine learning models directly on Apple devices with high performance and privacy. It provides a unified pipeline that enables teams to convert and quantize models, benchmark them, distribute them, and execute inference locally. It is built specifically for Apple Silicon and aims to deliver near-zero latency, zero inference cost, and full data privacy by keeping sensitive processing on the user’s device. Through its SDK and inference engine, developers can integrate AI features into applications quickly, using hardware-aware optimizations that unlock the full power of the GPU and Neural Engine. Mirai also includes dynamic routing capabilities that automatically decide whether a request should run locally or in the cloud based on latency, privacy, or workload requirements.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Mobile application developers in search of a tool to integrate efficient, on-device AI capabilities into their apps

Audience

AI developers and product teams that need to deploy and run optimized machine learning models directly on Apple devices for faster, private inference

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
ai.google.dev/edge/litert

Company Information

Mirai
Founded: 2024
United States
trymirai.com

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services

Alternatives

MaiaOS

MaiaOS

Zyphra Technologies

Categories

Categories

Integrations

C++
DeepSeek R1
Gemma 3
Google AI Edge Gallery
JAX
Java
Kotlin
LFM-3B
Llama
Objective-C
Polaris
PyTorch
Python
Qwen3
SmolLM2
Swift
TensorFlow
gpt-oss-120b

Integrations

C++
DeepSeek R1
Gemma 3
Google AI Edge Gallery
JAX
Java
Kotlin
LFM-3B
Llama
Objective-C
Polaris
PyTorch
Python
Qwen3
SmolLM2
Swift
TensorFlow
gpt-oss-120b
Claim LiteRT and update features and information
Claim LiteRT and update features and information
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