RTX: The STEM Accelerator

NVIDIA GeForce RTX™ 40 Series laptops supercharge studies for STEM students. Powerful NVIDIA GPUs accelerate the top student applications in engineering, architecture, computer science, data science, economics, and more. With GeForce RTX, students can 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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Study Faster With GPU Acceleration

GeForce RTX 40 Series laptops provide GPU acceleration for dozens of STEM tools and applications, so you can get out of the computer lab and finish coursework sooner. With GeForce RTX, you’ll be prepared for both lower-level and upper-level coursework. You’ll be able to work faster and take your homework with you, giving you more time to explore the topics that interest you.

Engineering and Architecture

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

Computer Science, Data Science, and Economics

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

Top STEM Software Applications Accelerated By GeForce Laptops

STEM Applications Accelerated By GeForce RTX

STEM Application Performance

 

Engineering and Architecture

RTX 4090 Laptop GPU
RTX 4050 Laptop GPU
Average Laptop

SOLIDWORKS
Up to 23X Faster

Enscape

Matlab
Up to 7x faster

SOLIDWORKS: MicroMax test at 1080p. Enscape average FPS on multi-scene benchmark test at 1080p, ray tracing and DLSS on. MATLAB geomean of single-precision tests. CPU/iGPU is Intel Core i7 13th Gen.

Computer, Data Science, and Economics

(Lower is Better)

RTX 4090 Laptop GPU
RTX 4050 Laptop GPU
Average Laptop

TensorFlow/ResNet50 Training
Up to 50X faster

RAPIDS
Up to 23X faster

TensorFlow training is MLPerf-compliant ResNet50 running in WSL, single epoch training time calculated from measured images/sec. ​

RAPIDS is decomposition with 100k/200k samples. CPU is Intel Core i9 12th Gen.

GeForce Laptops help design, model, and simulate components, systems, and structures

Design, Model, 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 40 Series laptops, you have the right tools for the job.

NVIDIA’s GPU-accelerated AI and data science software stack

Run World-Leading AI Software

Interested in artificial intelligence or data science? Learn the same technology that you'll use in the 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 AI developers and data scientists.

GeForce RTX 40 Series Laptops are the Best Computers for STEM Students

No longer do students have to choose between a computer for school or a computer for fun. With GeForce RTX, you can study, create, and play—all on the same laptop.

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