Practical guides and research insights

Explore how to get the most out of myresearchcloud.ca. From free CPU instances to GPU-powered AI, these guides show what’s possible with nonprofit cloud services in Canada. Start with free CPU instances that scale from student projects to full research group workloads

Compute

• What You Can Do with 2 Free vCPUs

  • Run RStudio, Jupyter Notebooks, small simulations, BLAST searches.

  • Best for: students, citizen scientists, and lightweight projects

• What You Can Do with 4 Free vCPUs

  • Handle parallelized code, larger datasets, modest ML models.

  • Best for: graduate projects, small lab teams, exploratory AI work.

• What You Can Do with 8 Free vCPUs

  • Run genomics analyses, multi-step pipelines, heavier ML inference.

  • Best for: early-stage research groups, proof-of-concept runs, collaborative projects.

• What You Can Do with 16 Free vCPUs

  • Scale up to complex models, multiprocess workloads, simulation-heavy projects.

  • Best for: serious academic research, community-led science, or steady compute.

  • (Beyond 16 vCPUs? Academic tiers will be available soon.)

GPU

• What You Can Do with a Fractional GPU

  • Run Stable Diffusion, LLaMA-2 7B inference, molecular docking, or GPU-accelerated visualization.

  • Best for: AI/ML researchers, computational scientists, applied data science.

Storage

• Every free instance includes 50 GB of storage per vCPU, with additional storage available at academic rates.