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What is RunMat?
RunMat eliminates MATLAB license costs while delivering faster performance. Teams can run existing .m scripts and workflows without rewriting code or purchasing per-seat licenses.
GPU acceleration is automatic -- no code changes required. Engineers get results up to 131x faster than NumPy on dense numerical workloads, accelerating parameter sweeps, simulations, and data processing pipelines.
Deploys anywhere: desktop (Windows, macOS, Linux), browser (no install needed), CI/CD pipelines, and Jupyter notebooks. Single portable binary with no dependencies. MIT licensed with no seat limits.
Ideal for engineering teams in signal processing, controls, quantitative finance, imaging, and scientific computing who need high-performance numerical tools without proprietary license overhead.
What is ExecuTorch?
ExecuTorch is an innovative open-source framework created for PyTorch, tailored to enable the deployment of artificial intelligence and machine learning models directly on edge devices, which supports various functions including text, vision, speech, recommendation, and multimodal inference without relying on cloud services. This framework simplifies the process of exporting models from PyTorch by eliminating the need for any intermediate conversion formats, thereby preserving ATen operators and utilizing ahead-of-time compilation to optimize performance for specific hardware before deployment. With a modular architecture, developers enjoy the flexibility to choose both compile-time and runtime optimizations, all while working within the familiar PyTorch ecosystem, which incorporates torchao specifically for quantization purposes. The lightweight C++ runtime of ExecuTorch, which is approximately 50 KB in size, ensures its adaptability across an array of platforms, such as smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. Additionally, it supports a range of operating systems, including Android, iOS, Linux, Windows, macOS, and WebAssembly, and provides native APIs in languages like C++, Swift, Kotlin, and Objective-C. Consequently, ExecuTorch empowers developers with a robust tool for efficiently deploying AI models across a wide variety of devices and applications, making it a crucial asset in the field of edge computing. Its flexible architecture and multi-platform compatibility highlight its potential to support the growing demand for localized AI solutions.
Integrations Supported
C++
Facebook
Instagram
Kotlin
LLaVA
Llama 3.2
Muse Glimmer
API Availability
API Availability
Has API
Pricing Information
$0
Free, Open Source. MIT licensed runtime with no seat limits. Cloud plans available for collaboration and team features.
Free Version
Pricing Information
Free
Free Version
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
Android
iPhone
iPad
Windows
Mac
On-Prem
Linux
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
RunMat
Date Founded
2022
Company Location
United States
Company Website
runmat.com
Company Facts
Organization Name
ExecuTorch
Company Location
United States
Company Website
executorch.ai/
Categories and Features
Computer-Aided Engineering (CAE)
Fluid Dynamics
Import / Export Files
Manufacturing Process Simulation
Mechanical Event Simulation
Thermal Analysis
Categories and Features
AI Inference
Not specified