RunMat 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.
RunMat Alternatives
Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
Learn more
MicroStation is the trusted CAD software that empowers infrastructure professionals to design, manage, and deliver projects with precision and efficiency. Its power, flexibility, AI automation, and 3D geospatial context enable innovative designs and creative visualizations. Communicate design changes and unite critical project elements in a single environment, ensuring effective and secure project deliverables. MicroStation scales for any infrastructure project, whether it lasts days, months, or years. MicroStation is the foundation for the entire Bentley modeling environment including digital twins.
Learn more
Rio Terminal
Rio is a terminal application developed using Rust, WebGPU, and the Tokio runtime, aimed at delivering an exceptional frames-per-second experience while also providing the flexibility to minimize GPU usage. The terminal's rendering engine utilizes a Redux state machine, ensuring that unchanged lines are not redrawn, thereby prioritizing a minimal rendering process most of the time. Furthermore, Rio is crafted to be compatible with a WebAssembly runtime, paving the way for future enhancements such as customizable tab systems through WASM plugins written in various programming languages. Additionally, Rio employs WGPU, which serves as a WebGPU implementation designed for non-browser environments and acts as a backend for Firefox’s own WebGPU implementation, allowing for a more efficient utilization of modern GPUs compared to WebGL alternatives. This focus on performance and customization makes Rio a versatile choice for terminal users seeking both speed and adaptability.
Learn more
Google Cloud Deep Learning VM Image
Quickly set up a virtual machine on Google Cloud for your deep learning project using the Deep Learning VM Image, which simplifies the process of launching a VM with essential AI frameworks on Google Compute Engine. This solution allows you to initiate Compute Engine instances that come equipped with popular libraries such as TensorFlow, PyTorch, and scikit-learn, eliminating concerns over software compatibility. Additionally, you have the flexibility to incorporate Cloud GPU and Cloud TPU support effortlessly. The Deep Learning VM Image is designed to support both the latest and most widely used machine learning frameworks, ensuring you have access to cutting-edge tools like TensorFlow and PyTorch. To enhance the speed of your model training and deployment, these images are optimized with the latest NVIDIA® CUDA-X AI libraries and drivers, as well as the Intel® Math Kernel Library. By using this service, you can hit the ground running with all necessary frameworks, libraries, and drivers pre-installed and validated for compatibility. Furthermore, the Deep Learning VM Image provides a smooth notebook experience through its integrated support for JupyterLab, facilitating an efficient workflow for your data science tasks. This combination of features makes it an ideal solution for both beginners and experienced practitioners in the field of machine learning.
Learn more
Pricing
Pricing Starts At:
$0
Pricing Information:
Free, Open Source. MIT licensed runtime with no seat limits. Cloud plans available for collaboration and team features.
Free Version:
Yes
Integrations
Company Details
Company:
RunMat
Year Founded:
2022
Headquarters:
United States
Website:
runmat.com
Media
Plotting
Recommended Products
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Product Details
Platforms
Web-Based
Windows
Mac
Linux
On-Premises
Types of Training
Training Docs
Training Videos
Customer Support
Online Support
RunMat Features and Options
Computer-Aided Engineering (CAE) Software
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
RunMat User Reviews
Write a Review- Previous
- Next
