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About

ExecuTorch is PyTorch’s open source framework for deploying AI/ML models directly to edge devices, enabling text, vision, speech, recommendation, and multimodal inference without requiring the cloud. It exports models from PyTorch without intermediate conversion formats, preserves ATen operators, and uses ahead-of-time compilation to optimize performance for target hardware before deployment. Its modular design lets developers choose compile-time and runtime optimizations while staying inside the familiar PyTorch ecosystem, including torchao for quantization. A portable C++ runtime with a base footprint of about 50 KB can run on smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. ExecuTorch supports Android, iOS, Linux, Windows, macOS, and WebAssembly, with native APIs for C++, Swift, Kotlin, and Objective-C.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Edge AI developers who need to deploy PyTorch models efficiently across mobile, embedded, desktop, and specialized hardware

Audience

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

Free
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ExecuTorch
United States
executorch.ai/

Company Information

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

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services

Alternatives

OpenVINO

OpenVINO

Intel
LiteRT

LiteRT

Google

Categories

Categories

Integrations

PyTorch
CUDA
Dataoorts GPU Cloud
Facebook
LLaVA
LaunchX
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DeepStream SDK
NVIDIA Merlin
NVIDIA virtual GPU
OpenAI Whisper
Python
RankLLM
Rosepetal AI
Thunder Compute
Voxtral
WhatsApp

Integrations

PyTorch
CUDA
Dataoorts GPU Cloud
Facebook
LLaVA
LaunchX
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DeepStream SDK
NVIDIA Merlin
NVIDIA virtual GPU
OpenAI Whisper
Python
RankLLM
Rosepetal AI
Thunder Compute
Voxtral
WhatsApp
Claim ExecuTorch and update features and information
Claim ExecuTorch and update features and information
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information