CUDA Lab Pack for Schools & Colleges
A complete CUDA teaching lab for $99 per student per term. No infrastructure required.

Give your students hands-on experience with CUDA and GPU computing without building your own lab.

Teach CUDA and GPU computing without building or managing a GPU lab.

The CUDA Lab Pack is a fully managed, browser-based teaching environment designed for colleges, schools, and academic programs. Students access a preconfigured Jupyter-based lab with CUDA tools and supporting software already in place, allowing instructors to focus on teaching rather than infrastructure.

What’s Included

  • Browser-based access via JupyterLab

  • GPU-backed lab environments

  • Preconfigured CUDA toolkit and Python stack

  • Support for CUDA, Numba, CuPy, and PyTorch

  • Structured lab access for student cohorts

  • Canadian-hosted infrastructure

Simple, Predictable Pricing

Designed to fit directly into tuition and lab fee models.

Simple, fixed pricing designed for tuition and lab fee models.

$99 per student per term.

No hourly billing. No infrastructure costs. No surprises.

Who This is For

  • Colleges introducing CUDA or GPU programming

  • AI and data science programs

  • Continuing education and technical training

Designed for Teaching

This platform is purpose-built for instructional use and aligns with how courses are delivered.

Ideal for:

  • CUDA and GPU programming fundamentals

  • Parallel computing courses

  • AI and machine learning labs

  • Data science and applied AI programs

  • Technical colleges and continuing education

How It Works

Institutions receive access to a fully managed lab environment that can be used throughout the academic term.

  • Instructors define when lab sessions occur

  • Sessions can be scheduled during daytime, evening, or weekends

  • Students access the environment through a standard web browser

Lab access is structured around scheduled instructional periods, with additional availability outside those times on a best-effort basis.

Built for Smaller Institutions

Many colleges want to introduce GPU computing but lack the infrastructure, budget, or staff to support it.

The CUDA Lab Pack provides a practical alternative:

  • Affordable per-student pricing

  • No capital investment

  • Fully managed delivery

  • Scales with enrolment

FAQ

  • Scheduling: Weekly lab sessions are set by the instructor (day, evening, or weekend).

  • Course fit: Designed for courses with one to several labs per week.

  • Access: Additional after-hours access available in a scheduled format.

  • GPU model: Shared, teaching-optimized environment (not dedicated GPUs).

  • Setup: No installation required—everything runs in the browser.

Why myresearchcloud.ca

  • Canadian sovereign infrastructure

  • Designed specifically for academic teaching use

  • Grant-friendly pricing model

  • Built by practitioners in HPC and AI, with infrastructure supporting real-world research workloads.

Looking for Research or Dedicated GPU Access?

If you are a researcher, lab, or graduate program requiring dedicated GPU resources, virtual machines, or persistent environments, explore our Academic GPU Services.

Get Started

Interested in bringing CUDA training to your students?

Request a Pilot or Course Deployment to discuss a pilot or upcoming course deployment.