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

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

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

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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

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 Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
Core ML

Core ML

Apple
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

AI Development Supported
Machine Learning Supported
Neural Network Supported

Integrations

AWS Marketplace Not Supported
Amazon EC2 Inf1 Instances Not Supported
Amazon Elastic Inference Not Supported
Amazon SageMaker Model Training Not Supported
Amazon SageMaker Studio Not Supported
Amazon Web Services (AWS) Not Supported
Dataoorts GPU Cloud Not Supported
Fabric for Deep Learning (FfDL) Not Supported
Flower Not Supported
Gemma 2 Not Supported
Gemma 4 Not Supported
Google AI Edge Gallery Supported
Graphcore Not Supported
Lightly Not Supported
NodeShift Not Supported
OpenVINO Not Supported
Runyour AI Not Supported
Simplismart Not Supported
io.net Not Supported

Integrations

AWS Marketplace Supported
Amazon EC2 Inf1 Instances Supported
Amazon Elastic Inference Supported
Amazon SageMaker Model Training Supported
Amazon SageMaker Studio Supported
Amazon Web Services (AWS) Supported
Dataoorts GPU Cloud Supported
Fabric for Deep Learning (FfDL) Supported
Flower Supported
Gemma 2 Supported
Gemma 4 Supported
Google AI Edge Gallery Not Supported
Graphcore Supported
Lightly Supported
NodeShift Supported
OpenVINO Supported
Runyour AI Supported
Simplismart Supported
io.net Supported
Claim LiteRT and update features and information
Claim LiteRT and update features and information
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