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Description
ExecuTorch is an open-source framework developed for PyTorch, specifically designed to deploy AI and machine learning models directly onto edge devices, facilitating tasks such as text, vision, speech, recommendation, and multimodal inference without the need for cloud connectivity. This framework allows for the exportation of models from PyTorch without any need for intermediate conversion formats, effectively maintaining ATen operators and employing ahead-of-time compilation to enhance performance tailored to specific hardware prior to deployment. Developers benefit from a modular architecture that offers flexibility in selecting both compile-time and runtime optimizations, all within the well-known PyTorch environment, which includes torchao specifically for quantization. With a lightweight C++ runtime that occupies roughly 50 KB, ExecuTorch is versatile enough to operate on a variety of platforms, including smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. It is compatible with multiple operating systems such as Android, iOS, Linux, Windows, macOS, and WebAssembly, and offers native APIs in C++, Swift, Kotlin, and Objective-C. As a result, ExecuTorch provides developers with a powerful tool to streamline the deployment of AI models across diverse devices and applications.
Description
RunMat is a free, open-source runtime that runs MATLAB-syntax .m files with automatic GPU acceleration. No MATLAB license needed.
Built in Rust with a JIT compiler and a fusion engine that automatically routes math operations to your GPU -- NVIDIA, AMD, Apple Silicon, or Intel. Up to 131x faster than NumPy on dense numerical workloads.
Runs on Windows, macOS, Linux, and in the browser via WebAssembly + WebGPU. Try it instantly with no install and no account. MIT licensed.
API Access
Has API
API Access
Has API
Integrations
C++
Facebook
GitHub
Instagram
Jupyter Notebook
Kotlin
LLaVA
Llama 3.2
MATLAB
Objective-C
Integrations
C++
Facebook
GitHub
Instagram
Jupyter Notebook
Kotlin
LLaVA
Llama 3.2
MATLAB
Objective-C
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$0
Free, Open Source. MIT licensed runtime with no seat limits. Cloud plans available for collaboration and team features.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ExecuTorch
Country
United States
Website
executorch.ai/
Vendor Details
Company Name
RunMat
Founded
2022
Country
United States
Website
runmat.com
Product Features
Product Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis