Thanks for the clarification. If you’re asking about Canada’s GPU computing infrastructure, especially in terms of high-performance computing (HPC), AI research, or data centers, here are the main areas where Canada “computes” with GPUs:
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Top GPU Compute Resources in Canada
1.
Digital Research Alliance of Canada (formerly Compute Canada)
- Main Role: Provides national advanced research computing (ARC) infrastructure to Canadian researchers.
- GPU Resources: Offers powerful clusters with GPU nodes for AI, deep learning, and scientific computing.
- Major Supercomputers:
- Niagara (at SciNet, University of Toronto): Large-scale parallel jobs, supports GPU workloads.
- Beluga (Calcul Québec): Optimized for GPU-intensive AI workloads.
- Cedar (Simon Fraser University): High memory and GPU capacity.
- Graham (University of Waterloo): General-purpose and GPU nodes.
2.
Vector Institute (Toronto)
- Specialized in AI and deep learning research.
- Access to high-performance GPU clusters (often via partnerships).
- Works closely with universities and the private sector (including NVIDIA).
3.
Mila – Quebec AI Institute
- Based in Montreal, founded by Yoshua Bengio.
- Focused on deep learning research.
- Access to GPU clusters for academic and industry use.
4.
Private Sector Data Centers
- Companies like Amazon (AWS Canada), Google Cloud, Microsoft Azure all have Canadian regions with GPU-based services.
- Canadian firms like D-Wave (quantum computing) and CGI (IT consulting) also invest in cloud and GPU resources.
🔧 If You Want GPU Compute Access in Canada:
Here are a few options depending on your background: