Edge Compute
Enterprise

Dedicated GPU capacity
for your biggest workloads.

Multiple GPUs, terms longer than a month, Canada-only placement and an SLA. Tell us what you're building and we'll design capacity and pricing around it.

  • ✓
    Reserved RTX 5090 nodes, hosted in Canada
  • ✓
    Volume pricing below our public reservation rates
  • ✓
    Monthly invoicing in CAD
  • ✓
    A named contact who knows your workload

Start building your capacity plan

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Why reserve with us

Capacity you can plan around

📈

Scalable

Start with a few GPUs and add nodes as your workload grows.

🍁

Canadian

Every node is in Canada. Contracts, invoices and support in Canada.

⚡

Fast to start

Reserved capacity can be live in days, not the months a hardware purchase takes.

💵

Transparent

Fixed monthly pricing, no egress or storage surprises, usage visible in your console.

Best for

Who dedicated capacity is for

Ongoing AI workloads

You fine-tune or serve models every week and several people depend on the same GPUs being there.

Production inference

You run an API or product feature on open models and need predictable capacity and latency.

Data that must stay in Canada

Your customers, contracts or regulators require Canadian data residency and an accountable provider.

Not sure you need this?

On-demand may be a better fit if…

Not every workload needs reserved capacity. Self-serve GPUs start in minutes and bill per minute.

Explore on-demand GPUs
  • →
    You run occasional or one-off jobsA single GPU for a few hours at a time.
  • →
    You're experimentingShort bursts of compute while you find what works.
  • →
    You need one GPU for up to a monthSelf-serve reservations save up to 30%.

Ready to scale your compute?

Tell us your spec and we'll design the capacity around it.

Start building your plan