Compact AI workstation
NVIDIA GB10 platform for developing and validating workloads.
- For example
- Dell Pro Max with GB10 (exact model to be confirmed)
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Business AI: on-premise, cloud or hybridOn-premise, in the cloud or a combination. We help you choose the path that fits your task.
We validate one specific task in a test environment.
A compact AI workstation is often enough for development and validation.
First we clarify which data, who may access it and where it will be processed.
We design the infrastructure as a whole – including power, cooling and management.
We assess the economics individually, usually over a three-year horizon.
| Criterion | On-premise | Cloud service | Hybrid model |
|---|---|---|---|
| Data | Processed in your environment, under your control. | Processed by the provider under its terms and settings. | Sensitive workloads on-premise, the rest in the cloud. |
| Costs | Higher initial investment, more predictable operation. | Low entry cost, pay per use or per user. | A combination of both models. |
| Responsibility | Administration, security, capacity and maintenance are on you or your supplier. | The provider manages the infrastructure. | Roles need to be clearly divided. |
| When it makes sense | Sensitive data, steady load, need for your own tuning. | Quick start, variable usage, broad tooling. | Different workloads with different data requirements. |
We choose hardware based on the task.
NVIDIA GB10 platform for developing and validating workloads.
A smaller rack for more demanding workloads. In development – we will publish specifications once confirmed.
Illustrations, not product photos.
How many users and models the device can handle.
Who takes care of updates and monitoring.
Access rights and usage rules.