LiteRTGoogle
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Related Products
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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.
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About
An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
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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
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Mobile application developers in search of a tool to integrate efficient, on-device AI capabilities into their apps
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Audience
Organizations interested in a powerful open source machine learning platform
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationGoogle
Founded: 1998
United States
ai.google.dev/edge/litert
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Company InformationTensorFlow
Founded: 2015
United States
www.tensorflow.org
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Alternatives |
Alternatives |
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Categories |
Categories |
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Machine Learning Features
Deep Learning
Not Supported
ML Algorithm Library
Not Supported
Model Training
Supported
Natural Language Processing (NLP)
Not Supported
Predictive Modeling
Not Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Supported
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Integrations
JAX
Supported
Python
Supported
Apolo
Not Supported
Bayesforge
Not Supported
Cloudera Data Platform
Not Supported
Database Mart
Not Supported
GPUonCLOUD
Not Supported
Gemini Enterprise Agent Platform Notebooks
Not Supported
Google AI Edge Gallery
Supported
LiteRT
Not Supported
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Integrations
JAX
Supported
Python
Supported
Apolo
Supported
Bayesforge
Supported
Cloudera Data Platform
Supported
Database Mart
Supported
GPUonCLOUD
Supported
Gemini Enterprise Agent Platform Notebooks
Supported
Google AI Edge Gallery
Not Supported
LiteRT
Supported
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