LiteRTGoogle
|
Reality AI ToolsReality AI
|
|||||
Related Products
|
||||||
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
Products need to work, and they also need to fit a price point. Reality AI merges machine learning with advanced signal processing math, delivering fast, efficient machine learning inference that fits on the smallest microcontrollers, enabling smart product features with inexpensive hardware. No engineer will deploy a solution they don’t understand. Reality AI Tools® delivers visualizations of model function in terms of time and frequency domains, so you can explain to colleagues and stakeholders why models perform as they do. Instrumentation and data collection are 80% of the cost of machine learning projects. Reality AI Tools® can identify the most cost-effective combinations of sensor channels, find the best sensor locations, and generate minimum component specifications. It can also help you manage the cost of data collection by finding instrumentation and data processing problems as data is gathered.
|
|||||
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
Companies searching for a solution to manage and improve their intelligent machine operations
|
|||||
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/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationGoogle
Founded: 1998
United States
ai.google.dev/edge/litert
|
Company InformationReality AI
Founded: 2015
United States
reality.ai
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Artificial Intelligence Features
Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
|
||||||
Integrations
C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow
|
Integrations
C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow
|
|||||
|
|
|