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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 CUDA?

CUDA® is an advanced parallel computing platform and programming framework developed by NVIDIA that facilitates the execution of general computing tasks on graphics processing units (GPUs). By harnessing the power of CUDA, developers can greatly improve the performance of their applications by taking advantage of the robust capabilities offered by GPUs. In GPU-accelerated applications, the CPU manages the sequential aspects of the workload, where it performs optimally on single-threaded tasks, while the more intensive compute tasks are executed in parallel across numerous GPU cores. When utilizing CUDA, programmers can write code in familiar programming languages, including C, C++, Fortran, Python, and MATLAB, allowing for the integration of parallelism through a straightforward set of specialized keywords. The NVIDIA CUDA Toolkit provides developers with all necessary resources to build applications that leverage GPU acceleration. This all-encompassing toolkit includes GPU-accelerated libraries, a streamlined compiler, various development tools, and the CUDA runtime, simplifying the process of optimizing and deploying high-performance computing solutions. Furthermore, the toolkit's flexibility supports a diverse array of applications, from scientific research to graphics rendering, demonstrating its capability to adapt to various domains and challenges in computing. With the continual evolution of the toolkit, developers can expect ongoing enhancements to support even more innovative uses of GPU technology.

Media

Media

Integrations Supported

MATLAB
GitHub

Integrations Supported

MATLAB
AWS Marketplace
Anaconda
Axivion Static Code Analysis
C
Clore.ai
Code Metal
Cody
Fortran
JarvisLabs.ai
NVIDIA Isaac
NVIDIA Magnum IO
NVIDIA TensorRT
NeevCloud
NodeShift
RightNow AI
Thunder Compute
Unicorn Render
VMware Private AI Foundation

API Availability

API Availability

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

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

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

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/cuda-zone

Categories and Features

Computer-Aided Engineering (CAE)

Fluid Dynamics
Import / Export Files
Manufacturing Process Simulation
Mechanical Event Simulation
Thermal Analysis

Categories and Features

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