We have hosted the application litert in order to run this application in our online workstations with Wine or directly.


Quick description about litert:

LiteRT is Google's next-generation on-device machine learning framework and the successor to TensorFlow Lite, designed for high-performance AI and generative AI deployment across edge devices. It provides efficient model conversion, optimization, and runtime execution while leveraging hardware acceleration from CPUs, GPUs, and NPUs. LiteRT supports a wide range of platforms, including Android, iOS, Linux, macOS, Windows, web environments, and IoT devices. The framework simplifies on-device AI development through automated accelerator selection, asynchronous execution, and optimized memory handling. It also includes specialized support for large language models and generative AI workloads through LiteRT-LM and related tooling. With broad hardware compatibility and advanced performance optimizations, LiteRT enables developers to build fast, scalable, and efficient AI applications that run directly on user devices.

Features:
  • Cross-Platform AI Deployment � Supports Android, iOS, Linux, macOS, Windows, web, and IoT environments from a unified framework.
  • Advanced Hardware Acceleration � Optimizes inference using CPUs, GPUs, and NPUs from leading chipset providers, including Google Tensor, Qualcomm, MediaTek, and Intel.
  • Compiled Model API � Automates accelerator selection, enables asynchronous execution, and improves I/O buffer management for streamlined development.
  • Generative AI Optimization � Provides dedicated tools and runtimes for deploying large language models, diffusion models, and other GenAI workloads on-device.
  • Model Conversion & Quantization � Converts and optimizes PyTorch and other machine learning models for efficient edge deployment and reduced resource usage.
  • High-Performance Runtime Engine � Delivers low-latency inference with zero-copy buffer interoperability, advanced GPU acceleration, and efficient model execution.


Programming Language: C++.
Categories:
Artificial Intelligence

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