GPU
The general workhorse chip for training and running modern AI systems.
Why it matters: GPU availability often sets the pace for AI deployment, pricing, and product roadmap decisions.
Read definitionThese hubs group related coverage around macro-topics like Canadian Infrastructure, Digital Governance, and Housing Crisis so readers can keep moving without falling back into the archive.
Quick definitions for the niche terms that recur in this hub.
Explore the glossary by term or category.
The general workhorse chip for training and running modern AI systems.
Why it matters: GPU availability often sets the pace for AI deployment, pricing, and product roadmap decisions.
Read definitionThe stage where a trained model is used to produce answers, predictions, or actions.
Why it matters: Inference economics often decide whether an AI product is scalable, profitable, or stuck in pilot mode.
Read definitionAI infrastructure that keeps strategic control, data, and deployment choices close to home.
Why it matters: It is one of the clearest signals for procurement, policy, and infrastructure spending in Canadian tech.
Read definitionA dedicated macro-topic hub for Canadian AI policy, compute clusters, sovereign procurement, and the companies building the compute layer behind modern software.
A macro-topic hub for the stories where infrastructure is the main competitive lever: compute capacity, energy systems, orbital networks, and the operational stack underneath the headline.
A policy-led hub for stories where digital rules matter as much as the product itself: governance, regulation, compliance, public oversight, and the buyer requirements that follow.
A practical macro-topic for housing affordability and supply pressure, with room to connect policy, construction, and the systems that influence how fast homes can be built.
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