Research-Grade Performance. Nonprofit Pricing.

Academic GPU Services

Sustained, Sovereign GPU Infrastructure for Research

myresearchcloud provides deterministic GPU infrastructure purpose-built for Canadian researchers, faculty, graduate students, and academic laboratories.

This is not retail burst cloud.
This is fixed-term, sustained research compute designed for grant-aligned workloads requiring stability, predictability, and sovereign data residency.

Our GPU services are optimized for long-running model training, simulation, and data-intensive research environments where performance consistency matters.

Why We Offer 1-Year and 3-Year Terms Only

Academic GPU workloads are typically sustained and grant-funded. Short-term, on-demand consumption models introduce cost volatility, unpredictable throttling behavior, and budgeting uncertainty.

By offering 1-year and 3-year commitments only, we provide:

Dedicated GPU allocation
Deterministic performance under sustained load
Predictable monthly budgeting
Elimination of burst-credit throttling models
Infrastructure aligned with research timelines

This approach ensures stable performance and clean financial planning throughout the life of a grant or research program.

1H 2026 Academic GPU Pricing

$CAD per GPU per Month

NVIDIA T4 (16 GB VRAM)

Includes 8 vCPU, 32 GB RAM, and 256 GB SSD

1-Year Commitment: $199
3-Year Commitment: $179

NVIDIA L4 (24 GB VRAM)

Includes 16 vCPU, 64 GB RAM, and 512 GB SSD

1-Year Commitment: $389
3-Year Commitment: $319

Pricing is per GPU and includes the bundled vCPU allocation, RAM, persistent replicated storage, and high-speed networking.

There are no egress fees, no IOPS tiers, and no variable billing structures.

Additional storage capacity, multi-GPU configurations, and lab-scale deployments are available upon request.

How This Compares to Public Cloud GPU Pricing

When normalized to sustained 730-hour research workloads under maximum academic committed-use discounts, comparable GPU instances in large public cloud environments typically range:

T4-class GPUs: $270–$300 CAD per month
L4-class GPUs: $500–$600 CAD per month

These ranges reflect compute pricing only and often exclude:

Data egress charges
Storage performance tier pricing
Sustained network utilization costs

For long-term research workloads, total effective cost in large public cloud environments is typically 30–50% higher than myresearchcloud academic GPU pricing once performance tiers and data transfer charges are included.

myresearchcloud is designed for sustained academic infrastructure rather than transient retail workloads.

Dedicated Allocation Model

myresearchcloud GPU instances are provisioned using a deterministic allocation model designed for sustained research workloads.

Each GPU instance includes:

1:1 physical GPU assignment
Dedicated vCPU allocation
Dedicated RAM allocation
No GPU time-slicing
No CPU overcommit
No burst-credit throttling

Compute, memory, and GPU resources are reserved on a per-instance basis to ensure consistent performance under long-running workloads.

This model is optimized for research environments where sustained throughput, reproducibility, and predictable performance are more important than short-term burst elasticity.

Performance Consistency

Unlike retail consumption models designed for transient workloads, myresearchcloud infrastructure is engineered for:

Multi-hour and multi-day GPU utilization
Deterministic CPU and memory behavior
Stable I/O performance
Reproducible research outcomes
Fixed-term budgeting with no variability

Researchers receive consistent resource availability throughout their commitment term.

Designed For

AI model development and fine-tuning
Computer vision and imaging analytics
GPU-accelerated simulation and modelling
Long-running inference environments
Grant-funded sustained research programs
Sovereign data residency requirements