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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 NVIDIA FLARE?
NVIDIA FLARE, which stands for Federated Learning Application Runtime Environment, is an adaptable, open-source software development kit tailored to improve federated learning across multiple industries, including healthcare, finance, and automotive. This platform facilitates secure and privacy-centric AI model training as it allows various stakeholders to collaboratively construct models without having to exchange sensitive raw data. FLARE supports a variety of machine learning frameworks such as PyTorch, TensorFlow, RAPIDS, and XGBoost, allowing for seamless integration into existing workflows. Its modular design not only promotes customization but also guarantees scalability, catering to both horizontal and vertical federated learning approaches. Particularly beneficial for domains where data privacy and regulatory compliance are paramount, FLARE is ideal for applications like medical imaging and financial analytics. Users can easily access and download FLARE via the NVIDIA NVFlare repository on GitHub and PyPi, ensuring it is readily implementable across a wide range of projects. By bridging the gap between data privacy and collaborative AI development, FLARE marks a notable progression in the realm of privacy-preserving AI technologies. Furthermore, its user-friendly nature encourages broader adoption among developers seeking innovative solutions.
Integrations Supported
GitHub
Jupyter Notebook
MATLAB
NVIDIA NeMo
NVIDIA RAPIDS
NumPy
PyTorch
TensorFlow
npm
Integrations Supported
GitHub
Jupyter Notebook
MATLAB
NVIDIA NeMo
NVIDIA RAPIDS
NumPy
PyTorch
TensorFlow
npm
API Availability
Has API
API Availability
Has API
Pricing Information
$0
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
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/flare
Categories and 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