We've just added the NVIDIA RTX PRO 6000 Blackwell to our NL server webshop. This is the newest generation GPU, and it's a serious piece of hardware — purpose-built for AI inference, model training, and compute-intensive workloads that demand both memory capacity and raw throughput.
NovoServe is offering a lot of single-GPU dedicated server because not every workload needs a 4 or 8 GPU machine. Multi-GPU servers are powerful, but they come with a price tag to match. A single-GPU dedicated server gives you direct, unshared access to professional-grade GPU hardware at a fraction of the cost — making it a practical choice for teams applying large models, developers building and testing AI pipelines, or businesses that need consistent GPU performance without the overhead of a full multi-GPU rig.
96 GB of GPU memory
The RTX PRO 6000 Blackwell brings 96 GB of GPU memory to a single workstation card. In practical terms, that means you can load and run models with 70 billion parameters without memory constraints or quantization compromises. If you've been working around VRAM limitations, this configuration removes that bottleneck entirely.
The RTX PRO 6000 Blackwell is compatible with our Supermicro X11 2SFF 12LFF GPU configuration, which pairs the card with dual Intel Xeon Silver or Gold CPUs and generous storage capacity across its 2SFF and 12LFF drive bays. This is a well-rounded server for production AI workloads that need both compute and storage in one system. Pricing for this configuration starts from €395/month, depending on your final CPU, storage, and GPU selection.
>>> Get your GPU dedicated server now with RTX PRO 6000 BlackwellÂ
Our most affordable GPU server promo — from €229/month
Alongside the Blackwell launch, we're also running a promotion on our Supermicro X11 GPU server. You can select a variety of GPUs form NVIDIA and AMD, and upgrade and configure your own storage and RAM. It's an accessible entry point into dedicated GPU infrastructure, with pricing starting from €229/month depending on your configuration.
>>> Get your affordable GPU dedicated server promoÂ
If you have questions about which configuration fits your AI workload, feel free to reach out to our team. We're happy to help you find the right setup.
