RTX: The STEM Accelerator

GeForce RTX accelerates engineering, science, and more.

Campus. Craft. Compete.
Student Recommended. NVIDIA AI Powered.

Study Faster With GPU Acceleration

NVIDIA® GeForce RTX™ 50 Series Laptop GPUs supercharge studies for STEM students. NVIDIA’s leading AI technologies and powerful GPUs accelerate top student applications in engineering, architecture, computer science, data science, economics, and more. With excellent battery life in thin form factors, GeForce RTX laptops enable students to get out of the computer lab and work from anywhere, finish coursework faster, and study, create, and play—all on the same laptop.

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Engineering and Architecture

  • More interactive, real-time rendering for 3D design and modeling
  • Faster solutions and visualization for mechanical, structural, and electrical simulations
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Computer Science, Data Science, and Economics

  • Faster data analytics for processing large datasets
  • Faster training for deep learning and machine learning models for computer vision, generative AI, and tabular data

Top STEM Applications Accelerated by GeForce RTX

STEM Application Performance

Chart showing performance of STEM apps on GeForce RTX 5060 laptops.
Chart showing performance of STEM apps on GeForce RTX 5060 laptops.

Hardware: GeForce RTX 5060 Laptop GPU with 100W maximum graphics power. Laptop without GeForce RTX: Intel Core Ultra 9 285H CPU with integrated graphics. Engineering: MATLAB - Geomean of GPUBench single-precision tests | AI Development: Average speedup across transformer fine tuning PyTorch BERT BS=16, mixed-precision enabled, and LLM inference Llama 3.1 8B ISL/OSL 100/100 quantized int4 | Data Science: RAPIDS - Geomean of Scikit-learn TSNE, HDBSCAN, and UMAP tests with 128 features.

Design, Model, and Simulate

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 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 50 Series laptops, you have the right tools for the job.

Laptop displaying 3D robotic arm design on a workshop table
NVIDIA GPU-accelerated AI software stack with CUDA, applications, and tools

Run World-Leading AI Software

Interested in artificial intelligence or data science? NVIDIA’s GPU-accelerated AI and data science software stack help you train models faster and process more samples—all with better accuracy and more insightful results. 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). And, run Linux applications on Windows 11 simultaneously using CUDA® on Windows Subsystem for Linux (WSL2).

Develop and Deploy AI From Anywhere

Experiment, build, and deploy AI locally, right from your GeForce RTX 50 Series Laptop with NVIDIA NIM™ microservices and NVIDIA AI Blueprints. NIM microservices include everything you need to run optimized models on your laptop from your favorite apps—like AnythingLLM, ComfyUI, and LM Studio. Combine them with blueprints to quickly set up, customize, and deploy AI-driven workflows that automate tasks and create new capabilities so you can master your studies.

Experiment, build, and deploy AI locally, right from your GeForce RTX 50 Series Laptop with NVIDIA NIM™ microservices and NVIDIA AI Blueprints

GeForce RTX 50 Series Laptops Are the Best Computers for STEM Students

You no longer have to choose between a computer for school or a computer for fun. With GeForce RTX, you can study, create, and game—all on the same laptop.

© 2025 NVIDIA Corporation. NVIDIA, the NVIDIA logo, GeForce, and GeForce RTX, are registered trademarks and/or trademarks of NVIDIA Corporation in the United States and other countries. All other trademarks and copyrights are the property of their respective owners.

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