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NVIDIA RTX Pro 6000 Blackwell 96 GB

Trooper.AI delivers NVIDIA RTX Pro 6000 Blackwell 96 GB GPU servers with full power and zero container overhead. Built for next-gen AI workloads – from large-scale training to ultra-fast inference and real-time generation – hosted securely in the EU.

Deploy RTX Pro 6000 Blackwell


💪 RTX Pro 6000 Blackwell — Next-Gen AI Performance

NVIDIA RTX 6000 Pro in GPU Server
NVIDIA RTX 6000 Pro in GPU Server

Naše HyperionAI GPU Server with RTX Pro 6000 Blackwell offer:

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Introduction to RTX Pro 6000 Blackwell by Markus

Learn how to deploy a Blackwell-based GPU server in minutes with preinstalled tools for development and production.

Deploy Blackwell Server


📊 Why RTX Pro 6000 Blackwell Rocks

The RTX Pro 6000 Blackwell delivers exceptional performance, exceeding benchmarks compared to other NVIDIA GPUs in our rental fleet. This is attributable to the advanced NVIDIA Blackwell architecture and its substantial 96 GB of ECC GDDR7 memory.

GPU VRÁM TAIFlops prúd rýchly Llama 3.1 8B FP8
NVIDIA RTX Pro 6000 Blackwell 96 GB 403 1,37 s/obrázok 4124 tokenov/s
NVIDIA RTX Pro 5000 Blackwell 48 GB 285 2,14 s/obrázok 2241 tokenov/s
RTX 4090 Pro 48 GB 238 2,63 s/obrázok 1221 tokenov/s
RTX 5090 32 GB 207 13,9 s/obrázok 522 tokenov/s

Start it now - you will for sure value its speed:

Activate Blackwell Server


🌱 Lepšie pre teba, lepšie pre planétu

  • High-efficiency Blackwell architecture → lower power per token
  • No resellers – we own and operate all hardware
  • 100 % green energy
  • Optimized airflow, silent and stable builds

Activate Blackwell Server


💡 What’s Included with Blackwell Blibs (HyperionAI)

  • ⚙️ Preinstalled: A1111, ComfyUI, Jupyter, Ubuntu, OpenWebUI
  • 🔐 Encrypted storage & private volumes
  • 🧠 Full CUDA & driver freedom
  • 🧰 Root access, SSH, terminal & dashboard
  • 🌍 EU hosting (Germany, Netherlands, France)
  • 🔄 Stop / freeze servers to save costs
  • 🌐 10 open ports, NAT + firewall
  • 📦 Bezplatný prístup k sieťovým zdrojom, žiadne skryté poplatky
  • 💸 Vouchers, top-ups & monthly savings

Our RTX Pro 6000 Blackwell Blibs

Názov balíčka GPU CPU / PAM Jádra NVMe Cena +33 % Akčná cena**
hyperionai.s1 1× RTX Pro 6000 Blackwell 96 GB 72 GB 12 180 GB €1.94/h €1.46/h or €838/m
hyperionai.m1 1× RTX Pro 6000 Blackwell 96 GB 88 GB 16 600 GB €2.02/h €1.52/h or €872/m
hyperionai.l1 1× RTX Pro 6000 Blackwell 96 GB 144 GB 26 900 GB €2.17/h €1.63/h or €936/m
hyperionai.m2 2× NVIDIA RTX Pro 6000 Blackwell 96 GB 176 GB 34 600 GB €3.86/h €2.90/h or €1669/m
hyperionai.l2 2× NVIDIA RTX Pro 6000 Blackwell 96 GB 288 GB 54 900 GB €4.15/h €3.12/h or €1797/m
hyperionai.xl2 2× NVIDIA RTX Pro 6000 Blackwell 96 GB 292 GB 56 1200 GB €4.19/h €3.15/h or €1812/m
hyperionai.m3 3× RTX Pro 6000 Blackwell 96 GB 272 GB 52 600 GB €5.72/h €4.30/h or €2474/m
hyperionai.l3 3× RTX Pro 6000 Blackwell 96 GB 432 GB 82 900 GB €6.13/h €4.61/h or €2654/m
hyperionai.xl3 3× RTX Pro 6000 Blackwell 96 GB 436 GB 84 1200 GB €6.16/h €4.63/h or €2665/m
hyperionai.l4 4× RTX Pro 6000 Blackwell 96 GB 576 GB 110 900 GB €8.10/h €6.09/h or €3508/m
hyperionai.xl4 4× RTX Pro 6000 Blackwell 96 GB 580 GB 112 1200 GB €8.14/h €6.12/h or €3523/m

* Weekly and monthly subscriptions offer reduced rates. Promotional pricing includes a 33% extra credits bonus, valid for this month.

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🧠 Use Cases for Blackwell Blibs

  • 🚀 High-throughput LLM inference (multi-tenant or dedicated)
  • 🧬 Fine-tuning very large models with 96 GB VRAM
  • 🎨 Ultra-fast SDXL / Flux pipelines
  • 📦 Dockerized AI services & APIs
  • 💻 Interactive research via Jupyter
  • 🧰 Production-grade AI backends

🗣️ Prečo Trooper.AI

  • Specialists in GPU system design & upcycling
  • No middlemen – direct hosting & fast provisioning
  • Full control for developers and researchers
  • German support team
  • v súlade s GDPR & certifikovaný podľa normy ISO/IEC 27001

My sa staráme

We operate and maintain every system ourselves – from firmware to airflow.
Our RTX Pro 6000 Blackwell HyperionAI servers are built for sustained, high-load AI workloads so you can focus on shipping models, not managing hardware.

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