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What is LiteX?

LiteX comprises two key components: a Windows client and a Linux server known as LiteServer. The standalone client offers features such as SFTP capabilities, local and remote file system management, and a remote proxy file system that allows for seamless copying between different remote systems. Additionally, it supports SSH and SSL protocols. Complementing the client is the LiteServer on Linux, which facilitates database maintenance, manages multi-domain bit levels, and provides merge and compare functionalities specifically designed for the client. Comprehensive documentation for both the client and server is readily accessible, along with a LiteServer toolkit and various examples. Users can utilize the LiteX Client for free for SFTP and file system management, while LiteServer is available under a price on application basis for those intending to use it commercially. The modular design of LiteX ensures it can adapt to various user needs while maintaining robust functionality.

What is LiteRT?

LiteRT, which was formerly called TensorFlow Lite, is a sophisticated runtime created by Google that delivers enhanced performance for artificial intelligence on various devices. This innovative platform allows developers to effortlessly deploy machine learning models across numerous devices and microcontrollers. It supports models from leading frameworks such as TensorFlow, PyTorch, and JAX, converting them into the FlatBuffers format (.tflite) to ensure optimal inference efficiency. Among its key features are low latency, enhanced privacy through local data processing, compact model and binary sizes, and effective power management strategies. Additionally, LiteRT offers SDKs in a variety of programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating easier integration into diverse applications. To boost performance on compatible devices, the runtime employs hardware acceleration through delegates like GPU and iOS Core ML. The anticipated LiteRT Next, currently in its alpha phase, is set to introduce a new suite of APIs aimed at simplifying on-device hardware acceleration, pushing the limits of mobile AI even further. With these forthcoming enhancements, developers can look forward to improved integration and significant performance gains in their applications, thereby revolutionizing how AI is implemented on mobile platforms.

Media

No images available

Media

Integrations Supported

C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow

Integrations Supported

C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Jedis Singapore Pte. Ltd

Date Founded

2008

Company Location

Singapore

Company Website

www.jedislimited.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/edge/litert

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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