What buyers need to know
Reserved capacity is not ordinary hourly rental. It should name the exact GPU configuration, allocation model, start date, term, storage, networking, support and contract treatment before you commit.
RESERVED / GPU CAPACITY
Reserved GPU Capacity: Dedicated Nodes and Enterprise Clusters
Plan H200, B200 or B300 dedicated 8-GPU nodes and 32 / 64 / 128 / 512+ GPU clusters with multi-month or multi-year commitments. The written proposal defines capacity, topology, region and start date; submitting an RFQ does not reserve capacity.
No payment is required to submit a request.
| Configuration | Best for | Pricing |
|---|---|---|
| 3-month reservation | Validated short-to-medium workload | Reserved quote |
| 6-month reservation | Stable project delivery | Reserved quote |
| 12-month reservation | Sustained production demand | Reserved quote |
| Multi-year node / cluster | Dedicated H200 / B200 / B300 at enterprise scale | Custom proposal |
Current capacity, complete configuration and total pricing are confirmed before activation.
Workload fit
Production inference
Robotics and simulation programs
Enterprise GPU capacity planning
How it works
One clear path from requirement to a deployable configuration.
Submit requirements
Tell Arvica the workload, GPU count, region and start date.
Compare deployable options
Arvica confirms configuration, capacity and complete charges.
Test or deploy
Run a pilot or proceed under a reserved-capacity agreement.
FAQ
Is the capacity dedicated?
The tenancy and allocation model are stated in the proposal. Do not assume dedicated hardware from a generic reservation label.
Can I extend or scale?
Extension and scaling depend on the confirmed capacity and contract. Ask for notice periods and options in the proposal.
Why start with a pilot?
A pilot measures memory, throughput, storage and operational fit before a longer commitment.
How are SLA and support handled?
Support scope, response expectations and any SLA are stated in the proposal and contract for the confirmed service.
What is included in the proposal?
GPU allocation, location, storage, network, support, commercial term and applicable charges are itemised where applicable.
Is payment required to request capacity?
No. A request does not create an order or reserve capacity.
Ready to scope your compute?
Share the workload and Arvica will prepare deployable options for review.