LiteRT

LiteRT

Google
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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.

About

NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.

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

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Mobile application developers in search of a tool to integrate efficient, on-device AI capabilities into their apps

Audience

Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

Google
Founded: 1998
United States
ai.google.dev/edge/litert

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/tensorrt

Alternatives

Alternatives

OpenVINO

OpenVINO

Intel
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

AI Inference Supported

Integrations

PyTorch Supported
Python Supported
TensorFlow Supported
JAX Supported
Kimi K2.5 Not Supported
Kimi K2.7 Code Not Supported
Kimi K3 Not Supported
Kimi K3.1 Pro Not Supported
Kotlin Supported
NVIDIA AI Enterprise Not Supported
NVIDIA Jetson Not Supported
NVIDIA Morpheus Not Supported
NVIDIA NIM Not Supported
NVIDIA Riva Studio Not Supported
NVIDIA virtual GPU Not Supported
Objective-C Supported
RankGPT Not Supported
RankLLM Not Supported
Rosepetal AI Not Supported
Ultralytics Not Supported

Integrations

PyTorch Supported
Python Supported
TensorFlow Supported
JAX Not Supported
Kimi K2.5 Supported
Kimi K2.7 Code Supported
Kimi K3 Supported
Kimi K3.1 Pro Supported
Kotlin Not Supported
NVIDIA AI Enterprise Supported
NVIDIA Jetson Supported
NVIDIA Morpheus Supported
NVIDIA NIM Supported
NVIDIA Riva Studio Supported
NVIDIA virtual GPU Supported
Objective-C Not Supported
RankGPT Supported
RankLLM Supported
Rosepetal AI Supported
Ultralytics Supported
Claim LiteRT and update features and information
Claim LiteRT and update features and information
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information