QDNASales and integration of LLM inference and training platforms, on-premises or hybrid
Architecture

Hardware

Sovereign inference hardware, from the DGX Spark workstation to the GB300 NVL72 rack, across eight power tiers for every organisation size.

DGX Spark

The sovereign workstation of a small business puts a private model on the desk, with no reliance on the cloud.

Mac Studio Ultra

The Apple option stays silent and delivers ample memory per euro and per watt.

DGX Station

The mid-size company gets a rack's worth of power in a tower case to develop and serve without a server room.

RTX PRO 6000 server

The sovereign workhorse runs air-cooled on standard servers, with a contained cost per token.

H200 SXM server

The HGX H200 board makes eight GPUs work as a single accelerator via NVSwitch, for training and inference of large models.

B200 SXM

The move to Blackwell reaches fifteen times the Hopper generation on large models.

B300 SXM

The top-of-range server adds sixty per cent more memory per GPU over the B200, for reasoning and long context.

GB300 NVL72

The large enterprise hosts its own frontier model in a rack, as a sovereign AI cloud.