An AI assistant that stays inside your network
A private AI assistant available from the internal network: employees ask and get answers in the language of their documents, and the data never goes to a public cloud – the model runs on your NVIDIA DGX device.
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Access from the internal network
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Data stays at your location
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DGX Spark for the pilot, Station for the team
What we deploy
What the company gets from day one
The assistant is ready for work when your IT team puts it on the network – with no data leaving the building.
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An AI assistant on the internal network
Access from workstations over the internal network, with sign-in – no public internet exposure of the model itself.
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Data never goes to a public cloud
Questions and answers stay in your network: the model runs on an NVIDIA DGX device at your location.
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A ready model environment
DGX OS, CUDA and NIM are configured – the team immediately runs models from the NVIDIA catalog and their own fine-tuned versions.
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Access for the IT team
Settings, users and models are in your hands – we hand over a documented system and train your IT team.
On which hardware
Three variants – by team and model size
We start at the scale that matches the team – and expand when the need grows.
NVIDIA DGX Spark
A pilot and 1–2 users: a compact deskside device running from a regular outlet.
2× DGX Spark
A compact fleet for bigger jobs: two linked devices working together.
NVIDIA DGX Station
A team and larger models: MIG splits the GPU across users, up to 748 GB of coherent memory.
For model and capacity selection we run a configuration consultation – the recommendation is confirmed in the quote.
What is in the delivery
From order to a working system
- Delivery of the NVIDIA DGX device to your location (all of Serbia)
- An IT infrastructure audit: space, power and network before the installation
- Installation of DGX OS, CUDA and the NIM environment, with a test – at your request
- Internal-network access setup and IT team training – at your request
- Warranty service through us – RMA with the manufacturer
After commissioning, the models and access are managed by your IT team – we stay with the equipment through warranty service.
Request private AI
Tell us how many people would use the assistant and what must never leave the company – we will propose a device and configuration.
FAQ
Frequently asked questions
NVIDIA
Local AI solutions
NVIDIA DGX Spark
A compact AI workstation for the desk: GB10 Grace Blackwell, 128 GB unified memory, ~240 W from a regular outlet.
NVIDIA DGX Station
A deskside AI supercomputer for large models and teams: GB300 Grace Blackwell Ultra, up to 748 GB of coherent memory.
NVIDIA RTX PRO Server
A rack GPU server: up to 8× RTX PRO 6000/4500 Server Edition, vGPU/MIG sharing for multiple users at once.