- Sustained inference, training and batch workloads
- Teams that need control of the operating system and software stack
- Multi-GPU workloads with defined topology and host requirements
Dedicated GPU servers
A complete GPU server node, defined before order.
Dedicated GPU server capacity for teams that need control of the host, accelerator topology, storage, network and software stack.
Where it fits.
- A per-card catalogue price is not a complete-node price
- GPU model, count, form factor and interconnect are quote-time facts
- Performance and delivery are accepted against agreed tests
Common questions.
Is the price for one GPU card or the complete server?
This page is for complete GPU server nodes. The written quote states the card count, server configuration and complete monthly price. Catalogue prices on the GPU hub are per GPU card unless their row says otherwise.
Can ZenoCloud operate the GPU server?
Yes. Add deployment, monitoring, maintenance, incident response and recovery support as separate Cloud Management services.
Which GPU architectures are available?
Current models, form factors, card counts and locations are confirmed during qualification. ZenoCloud does not treat a model name alone as proof of an orderable node or workload fit.
Is dedicated GPU server pricing published per card?
No. A dedicated-node quote covers the complete server, including every GPU, CPU, RAM, storage, network and location. Do not multiply a per-card catalogue price to estimate a node.