NVIDIA AI Enterprise
and vGPU licences
The licences are not counted the way most people assume: per GPU in one case, per concurrently active user in the other. Getting that wrong is expensive in both directions.
What we license
These are the licences that decide whether the card you bought can do the job you bought it for. We put them in the quote with the hardware, not after it.
| Licence | Counted by | Needed for | Note |
|---|---|---|---|
| NVIDIA AI Enterprise | Per GPU | The supported AI software stack and compute vGPU, on NVIDIA-Certified servers | Five years included with each H200 NVL; bought per GPU for L40S, L4 and RTX PRO. |
| RTX vWS (Virtual Workstation) | Per concurrently active user | Full workstation graphics inside a VM | Not per card: this is where budgets get misread. |
| Virtual PC / Virtual Apps | Per concurrently active user | Desktop and application streaming | vApps streams one display at 1280×1024. |
| MIG | Not licensed on bare metal | Hardware partitioning of the card | Free on bare metal; MIG-backed vGPU in VMs needs the vGPU licence. MIG instances on different GPUs cannot talk peer to peer, over PCIe or NVLink, and NCCL does not work with MIG. |
All licences above are available to order. Lead time is confirmed with every quote.
Not just a box on a pallet
One counterparty in Vienna. No cross-border purchase to arrange, no import to clear on your side.
Where a card needs a licence to do the job you bought it for, it is in the quote, not discovered three months later.
Our partner Vixen.UNO designs, deploys and supports it. Under the same contract, or not at all. Your call.
Manufacturer warranty handled through us, with support alongside the team who runs the system.
Which one is right for you
Then a graphics vGPU is degraded, and degraded further if it still has no licence after 24 hours, as NVIDIA’s current client licensing guide (29 September 2026) describes it; a compute (C-series) vGPU drops to idle-level compute. For a compute vGPU, NVIDIA states that full capability returns as soon as a valid licence is acquired. This is documented behaviour, not a fault, and it is the single most common surprise we get called about.
Read the full analysis →MIG cuts the card in hardware: each instance gets its own compute blocks and its own memory bandwidth. vGPU slices time and needs a licence: per concurrent user for graphics, per GPU for compute. RTX PRO 6000 Blackwell splits into up to four 24 GB instances; the L40S has no hardware partitioning at all.
Read the full analysis →NVIDIA’s sizing guide gives two to four heavy users per RTX PRO 6000 Server Edition and six to eight light users per RTX PRO 4500 Server Edition. It also notes the best-effort scheduler often allows two- to threefold oversubscription when users are not all active at once.
Read the full analysis →When we are not the right fit
Licensing, in short
Is AI Enterprise per GPU or per server?
Do I need a licence for MIG?
What happens when a licence expires?
Which hypervisors support MIG-backed vGPU?
Can I buy licences and hardware on one contract?
From our engineering blog
Per-card numbers, licences per user for graphics and per GPU for compute, and where the setup breaks.
Read the article →Which nodes take cards, what works on AHV, and the limits to plan a multi-GPU cluster around.
Read the article →Only one of the three got vGPU: the full comparison of what each edition can do.
Read the article →Request a quote
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