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LiteRT download for Windows

Free download LiteRT Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named LiteRT whose latest release can be downloaded as v1.2.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named LiteRT with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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LiteRT


DESCRIPTION

LiteRT is an experimental, real-time inference runtime built by Google AI Edge to run lightweight ML models on edge devices with ultra-low latency. It focuses on delivering predictable and consistent performance for models used in time-critical applications like robotics, AR/VR, and IoT. LiteRT is designed to be hardware-agnostic, with minimal dependencies and tight control over execution scheduling.



Features

  • Real-time inference execution for edge ML models
  • Ultra-low latency and jitter optimization
  • Works with small, performance-critical models
  • Hardware-agnostic and lightweight runtime
  • Deterministic execution with predictable scheduling
  • Designed for robotics, AR/VR, and embedded use cases


Programming Language

C++


Categories

Artificial Intelligence

This is an application that can also be fetched from https://sourceforge.net/projects/litert.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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