NVIDIA TensorRT vs. RunMat Comparison


NVIDIA TensorRT NVIDIA	RunMat	+	+
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About NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.	About RunMat (by Dystr) is a fast, free, open-source alternative for running MATLAB code. Users can run their existing .m files with complete MATLAB language grammar and core semantics. No license fees, no lock-in. 300+ built-in functions supported. RunMat is built with a modern Rust runtime featuring a tiered execution model: an interpreter (Ignition) for instant 5ms startup and a JIT compiler (Turbine/Cranelift) for hot paths. GPU acceleration is automatic via a fusion engine that detects elementwise operation chains and dispatches them as optimized GPU kernels across NVIDIA, AMD, Apple Silicon, and Intel GPUs through Metal, DirectX 12, Vulkan, and WebGPU. Up to 131x faster than NumPy and 7x faster than PyTorch on dense numerical workloads. Runs everywhere: CLI, NPM package, Homebrew, Jupyter kernel, or instantly in the browser via WebAssembly + WebGPU. Single portable binary. MIT licensed.
Platforms Supported Windows Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations	Audience Engineers, Scientists, Researchers
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing $0 Free, Open Source. MIT licensed runtime with no seat limits. Cloud plans available for collaboration and team features. Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/tensorrt	Company Information RunMat Founded: 2022 United States runmat.com
Alternatives OpenVINO Intel	Alternatives Rio Terminal
NVIDIA Triton Inference Server NVIDIA	MATLAB The MathWorks
NVIDIA DRIVE NVIDIA	Google Cloud Deep Learning VM Image Google
TensorWave	TypeGPU Software Mansion
Luminal View All	YAKINDU Model Viewer itemis AG View All
Categories AI Inference Supported	Categories Computer-Aided Engineering (CAE) Supported
	Show More Features Computer-Aided Engineering (CAE) Features CAD/CAM Compatibility Not Supported Finite Element Analysis Not Supported Fluid Dynamics Supported Import / Export Files Supported Integrated 3D Modeling Not Supported Manufacturing Process Simulation Supported Mechanical Event Simulation Supported Multibody Dynamics Not Supported Thermal Analysis Supported
Integrations MATLAB Supported CUDA Supported Dataoorts GPU Cloud Supported Hugging Face Supported Jupyter Notebook Not Supported Kimi K2 Supported Kimi K2.5 Supported Kimi K2.7 Code Supported Kimi K3 Supported LaunchX Supported NVIDIA AI Enterprise Supported NVIDIA Clara Supported NVIDIA DeepStream SDK Supported NVIDIA Merlin Supported NVIDIA NIM Supported NVIDIA Riva Studio Supported NVIDIA virtual GPU Supported PyTorch Supported Rosepetal AI Supported Ultralytics Supported Show More Integrations View All 29 Integrations	Integrations MATLAB Supported CUDA Not Supported Dataoorts GPU Cloud Not Supported Hugging Face Not Supported Jupyter Notebook Supported Kimi K2 Not Supported Kimi K2.5 Not Supported Kimi K2.7 Code Not Supported Kimi K3 Not Supported LaunchX Not Supported NVIDIA AI Enterprise Not Supported NVIDIA Clara Not Supported NVIDIA DeepStream SDK Not Supported NVIDIA Merlin Not Supported NVIDIA NIM Not Supported NVIDIA Riva Studio Not Supported NVIDIA virtual GPU Not Supported PyTorch Not Supported Rosepetal AI Not Supported Ultralytics Not Supported Show More Integrations View All 4 Integrations
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