Design, Model, Simulate

Planning on studying engineering or architecture? GPUs have become fundamental tools for designing, modeling, and simulating components, systems, and structures. Take on larger and more challenging 3D class design projects with smooth, interactive rendering in SOLIDWORKS, complete complex simulations faster with MATLAB and ANSYS Discovery, and visualize your architectural masterpieces in real time with Enscape. With GeForce RTX laptops, you know you have the right tools for the job.

Run World-leading AI Software

Interested in artificial intelligence or data science? Learn the same technology that you will use in industry with NVIDIA’s GPU-accelerated AI and data science software stack. Use cuDNN with GPU acceleration to train neural networks with TensorFlow, PyTorch, WinML, or MxNet. Run NVIDIA RAPIDS for data science with cuDF, cuML, and cuGraph (GPU-accelerated alternatives to Pandas, SciKit-Learn, and NetworkX). NVIDIA software helps you train models faster and process more samples to get better accuracy and more insightful results. And, thanks to CUDA on Windows Subsystem for Linux (WSL2), it’s now available on Windows 11. This capability allows Windows users to run Linux applications simultaneously—a true multi-OS environment for future data scientists.

High-performance computing

GPUs are specialized processors designed for mathematically intense and massively parallel computations. NVIDIA GPUs today power many of the top 500 fastest supercomputers, including the fastest petascale systems in the world. NVIDIA and MathWorks have collaborated to deliver the power of GPU computing in MATLAB.