Research Computing in Canada
Sovereign Canadian Research Cloud
Data residency and jurisdiction matter for many research projects.
myresearchcloud.ca is built around Canadian-hosted infrastructure for researchers and organizations that want to keep compute and storage in Canada. This is especially important for projects involving sensitive data, public-interest research, nonprofit work, Indigenous data governance considerations, institutional requirements, or funder expectations around responsible data stewardship.
Sovereign research cloud infrastructure gives researchers a practical alternative when they need Canadian-hosted compute without relying entirely on foreign hyperscale platforms.
Who We Serve
myresearchcloud.ca is designed for:
University researchers
College and polytechnic researchers
Graduate students
Educators and instructors
Nonprofit research teams
Citizen scientists
Independent scholars
Research software developers
Community science projects
Mission-aligned startups and innovators
Labs that need overflow or persistent cloud capacity
The platform is especially useful for people and projects that need research computing but do not fit easily into traditional allocation pathways.
Example Research Computing Workloads
Researchers can use myresearchcloud.ca for workloads such as:
Data analysis in Python, R, or Julia
Jupyter and RStudio environments
AI and machine learning experiments
Small model training and inference
Data preprocessing
Simulation and modelling
Digital humanities projects
Environmental and climate analysis
Genomics and bioinformatics workflows
Research software testing
Teaching labs and course environments
Science gateways and research portals
Public-facing dashboards
Nonprofit and community research infrastructure
Long-running research services
How We Complement HPC and Advanced Research Computing
High-performance computing remains essential for large-scale simulations, tightly coupled parallel workloads, national-scale allocations, and specialized scientific computing.
But not every research workload needs a supercomputer or batch-scheduled cluster.
Many projects need a persistent VM, a small GPU, a stable web service, a teaching environment, a public portal, a storage bucket, a development server, or an affordable cloud environment that can run continuously.
myresearchcloud.ca is designed for those needs. It gives researchers another path to Canadian research compute, especially when cloud flexibility, persistence, simplicity, or affordability matter.
Apply for Research Computing Resources
If your project needs Canadian-hosted research computing, GPU access, storage, persistent virtual machines, or sovereign cloud infrastructure, you can apply for free resources or explore affordable paid tiers through myresearchcloud.ca.
myresearchcloud.ca exists to make research computing more accessible in Canada — especially for researchers, students, educators, nonprofits, citizen scientists, and mission-aligned projects that need practical infrastructure to move their work forward.
Free and Affordable Canadian-Hosted Research Computing
myresearchcloud.ca provides free and affordable Canadian-hosted research computing for researchers, students, educators, nonprofits, citizen scientists, and mission-aligned innovators who need CPU, GPU, storage, persistent virtual machines, and sovereign cloud infrastructure in Canada.
Whether you are running analysis code, training a model, hosting a research portal, preparing a dataset, building a teaching environment, or supporting a community science project, myresearchcloud.ca gives you practical cloud infrastructure designed for research work.
What Is Research Computing?
Research computing includes the compute, storage, software, data, networking, and cloud environments researchers use to run computational work.
In practice, this can include virtual machines, GPUs, CPUs, storage buckets, notebooks, containers, research databases, web applications, science gateways, development environments, and long-running services that support research, teaching, analysis, and innovation.
Research computing is not limited to traditional high-performance computing clusters. Many projects need persistent cloud environments, flexible virtual machines, Canadian data residency, small-scale GPU access, or public-facing infrastructure that can support real users over time.
Research Computing in the Canadian Ecosystem
In Canada, much of the research computing ecosystem is supported through institutional advanced research computing groups, regional HPC partners, and the Digital Research Alliance of Canada.
myresearchcloud.ca complements that ecosystem by providing accessible Canadian-hosted research cloud resources for workloads that need persistent VMs, fractional GPU access, sovereign storage, public-facing portals, teaching environments, or affordable overflow capacity.
We are not here to replace national, regional, or institutional advanced research computing services. We are here to help fill the practical gaps researchers encounter when they need cloud-based infrastructure that is accessible, affordable, persistent, and hosted in Canada.
How myresearchcloud.ca Supports Research Compute
myresearchcloud.ca supports research compute through a nonprofit cloud model built around access, sovereignty, and sustainability.
Researchers can use myresearchcloud.ca for:
CPU-based analysis and development
GPU-enabled research workloads
Persistent virtual machines
Research software environments
Jupyter, RStudio, Python, R, Julia, and Linux workflows
Teaching and training environments
Research portals and science gateways
Data preprocessing and storage
AI, machine learning, and inference workloads
Community science and nonprofit research projects
Affordable overflow capacity for labs and teams
Our goal is to make research computing easier to access for projects that may not have large grants, institutional allocations, or commercial cloud budgets.
Cloud Research Computing, Not Just Cloud Hosting
myresearchcloud.ca is not a generic commercial cloud service. It is designed for research use cases.
That means we focus on the needs researchers actually have: predictable costs, Canadian-hosted infrastructure, access to CPUs and GPUs, persistent environments, practical support, no unnecessary complexity, and infrastructure that can support real research workflows.
For many researchers, the problem is not simply “getting a server.” The problem is getting a stable, affordable, research-appropriate environment where they can run code, store data, collaborate, teach, test, deploy, and continue their work without being blocked by cost or infrastructure barriers.
Free Research Computing Resources
myresearchcloud.ca offers free research cloud resources for eligible researchers, students, educators, nonprofits, citizen scientists, and mission-aligned projects.
Free resources may include CPU instances, limited GPU access, storage, and cloud environments suitable for early-stage research, exploratory analysis, student work, prototypes, public-interest science, or projects that need a modest but reliable compute environment.
These free resources are intended to reduce barriers for people who need research compute but may not yet have access to grants, institutional infrastructure, or paid cloud capacity.
Affordable Paid Research Compute
For labs, projects, and organizations that need more capacity, myresearchcloud.ca also offers affordable paid research compute options.
Paid tiers can support larger CPU instances, GPU-enabled environments, storage, and persistent cloud infrastructure for teams that need predictable pricing and Canadian hosting.
This allows researchers to move from free starter resources into sustainable paid infrastructure without jumping directly into commercial hyperscaler pricing or complex enterprise cloud contracts.
GPU Research Computing in Canada
GPU access is one of the most important infrastructure needs for modern research, especially in artificial intelligence, machine learning, data science, simulation, visualization, and computational experimentation.
myresearchcloud.ca helps make GPU research computing more accessible through Canadian-hosted GPU resources, including fractional GPU options for workloads that do not require a full dedicated accelerator.
This is especially useful for students, small labs, nonprofits, citizen science projects, and early-stage research teams that need practical GPU access without large allocation requests or high commercial cloud costs.