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Dedicated GPUs for your enterprise

Your token bills keep growing. You want to run open-weight AI, but procuring GPUs and building the system takes time. We help you reserve dedicated compute and put the right deployment around it.

A tactile compute still life with warm, sculpted forms and sage details.
Vinci illustration · A concept, not a product screenshot

The right compute. Less to piece together.

Through infrastructure partnerships in Canada, the US, and around the world, we help arrange GPU capacity around your requirements. Bring the workload; we’ll work through the hardware, location, and tools your team needs.

Compute matched to the workload

Work through GPU type, memory, cluster size, interconnect, and storage for inference, training, or both.

A deployment for your team

Scope model serving, access, runtime tools, and integrations so the environment fits how your team works.

Clear operating terms

Agree reservation length, capacity, cost, support, and who operates each part before committing to infrastructure.

Tell us what you have in mind

  • The models and workloads you want to run, plus usage or throughput expectations.
  • Your current API or compute spend, budget, and any existing infrastructure.
  • Preferred regions, data residency, access requirements, and target start date.

What we agree together

  • Provider capacity, deployment location, hardware configuration, and reservation terms.
  • Network access, data handling, software setup, and operational responsibilities.
  • The full cost compared with your current approach, using your workload; any savings depend on utilization and requirements.

We build with Vinci where it fits, and choose other open-weight models and tools when they better serve your needs.

Built for your requirements

Make the numbers work for your workload.

Dedicated GPUs can be a useful alternative as API spending grows. We’ll compare compute, deployment, and operating costs with your current setup, so you can decide whether the move makes sense.

Share the models you want to run and the demand you expect. We’ll discuss suitable capacity and a custom deployment, with availability and terms confirmed for your project.

How to check AI-generated work

What does your team need to run?

A short introduction is enough to start. Tell us what your team needs, and we’ll work through the right approach together.

Discuss your GPU needs