AI Server on RTX PRO
Professional GPU infrastructure for enterprise inference and department-level AI workloads.
What it is
An AI Server on RTX PRO 6000 is a server-class machine with 48–96 GB of VRAM, sized for multiple concurrent users and larger models. It bridges the gap between a personal workstation and a full enterprise AI contour.
When it fits
- Department-level AI assistants
- Enterprise RAG at mid-scale
- Multi-model inference (LLM + embeddings)
- Production scenarios with concurrency
What to keep in mind
- Requires a proper server room with power and cooling
- One or two GPUs — not a full HA contour
- Not intended for model training
- Final configuration depends on model, context and concurrency
Frequent questions
How is RTX PRO different from RTX 5090?+
RTX PRO is a professional GPU with larger memory (48–96 GB), ECC, enterprise-class drivers and server-room support. The RTX 5090 is a consumer card for a single developer.
Can multiple departments share one AI Server?+
Yes, with the right architecture — context isolation, RBAC and model partitioning. For fully independent contours we design separate instances on one or more GPUs.
Does RTX PRO support vLLM?+
Yes. vLLM is one of the recommended runtimes for this class. We also tune quantisation and model routing to the specific workload.
Let’s discuss your task
Tell us what the AI contour needs to solve — we will match the configuration, infrastructure and next step.