Buy now or plan for later.

Corgi’s current product lets you choose available GPU capacity for an immediate, fixed-duration rental. Future reservations are coming soon: the goal is to secure specified capacity for an agreed start date and term.

Neither label fully describes the contract. Start and end dates, interruption rights, billing increments, delivery terms, and cancellation provisions still need to be checked.

On-demand suits changing requirements.

Short experiments and variable workloads can start with available capacity. At Corgi, you choose and prepay a fixed duration for each rental. The term starts when the GPU launch request is submitted, does not renew automatically, and is not automatically refunded if you stop early.

The tradeoff is availability: the hardware and quantity you want may not be available when you return. Also distinguish ordinary on-demand access from interruptible spot capacity, which can be reclaimed according to the provider’s rules.

Reservations suit a known capacity window.

A planned training run or an ongoing inference requirement can justify securing capacity for a defined period. The reservation should identify the exact resources, location, delivery window, and service commitments.

Across the industry, a capacity commitment may use a deposit, periodic billing or another payment schedule. That is separate from Corgi’s current prepaid rental model. Terms for Corgi’s future reservation product have not been announced.

Compare offers on the same basis.

Normalize the quantity, hardware, and duration before comparing the price. Then account for the terms that change what you can actually do with the resource.

  • Is the price per GPU-hour, per node-hour, or for the entire term?
  • Do idle reserved hours remain payable?
  • What is included for storage, networking, support, and setup?
  • When is the resource delivered, and what happens if delivery is late?
  • Can the reservation be extended, transferred, or sublet?

Start with the work you know you need.

Estimate the duration and scale of your workload, then identify which constraints are fixed and which can move. Region flexibility, hardware alternatives, and a wider start window may create more sourcing options.

For capacity available now, configure a rental in the app and review the final quote. For a future reservation, plan your requirements while booking is coming soon. Neither a planning request nor a catalog estimate holds inventory.

Related guides

What are you buying when you buy GPU compute?How does unused compute get resold?