Compute matched to the workload
Work through GPU type, memory, cluster size, interconnect, and storage for inference, training, or both.
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.

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.
Work through GPU type, memory, cluster size, interconnect, and storage for inference, training, or both.
Scope model serving, access, runtime tools, and integrations so the environment fits how your team works.
Agree reservation length, capacity, cost, support, and who operates each part before committing to infrastructure.
We build with Vinci where it fits, and choose other open-weight models and tools when they better serve your needs.
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 workA short introduction is enough to start. Tell us what your team needs, and we’ll work through the right approach together.