SYS_STAT: ONLINE SLA: 99.7% UPTIME NEW: RTX 6000 PRO CLUSTER ACTIVE WAN: 1-10G / LAN: UP TO 100G

RAW GPU.
ZERO NOISE.
100% YOURS.

Dedicated bare-metal workstations and servers for AI Training, AI Inference, 3D Rendering, and Creative Production Teams. No shared resources. No cloud abstractions. Direct hardware execution.

SYS.INF / MODULE_01
ACTIVE
CONFIG_ID RTX-6000 PRO x4
vRAM 384 GB
SYS RAM 768 GB
STORAGE 4TB NVMe
NETWORK 10 Gbps LAN
3,500 / MO
RESERVE HARDWARE
DATABASE // INVENTORY

HARDWARE SPECS & PRICING

Transparent pricing. No hidden cloud fees. EU VAT rules apply.

ID GPU UNIT TERRAIN (USE CASE) vRAM SYS RAM PRICE ACTION
001 RTX 5090 × 1 Workstation / Solo 32 GB 64 GB €350 / MO (2YR) SELECT
/// 3D CREATIVE: 32GB GDDR7 handles absolute geometry limits (15M+ polygons, 8K raw textures) without spilling into out-of-core memory.

/// AI INFERENCE: The entry point for fast local reasoning. 32GB comfortably loads mid-sized models (e.g., Llama 3.3 70B at EXL2 3.0 bpw or Qwen 2.5 32B natively), yielding higher coherence than the degraded quantization forced on 24GB hardware.
002 RTX 5090 × 2 Workstation / Team 64 GB 128 GB €1,150 / MO SELECT
/// 3D CREATIVE: Dual-GPU acceleration delivers 2x faster rendering times in Redshift/Octane, easily integrating into 10Gbps team subnets.

/// AI INFERENCE: 64GB comfortably holds ultra-modern reasoning models (e.g., DeepSeek-R1-Distill-Llama-70B at EXL2) or massive Llama 3.3 70B variants at high-fidelity Q6_K (~50GB footprint) allowing thick context windows for local RAG without system memory offload.
003 RTX 5090 × 4 Render Server / AI Inference 128 GB 512 GB €2,750 / MO SELECT
/// 3D CREATIVE: The ultimate single-node render server. 512GB system RAM strictly caches immense fluid/physics sims before NVMe-to-GPU memory transfer.

/// AI ORCHESTRATION: 128GB combined vRAM enables complex local orchestration tasks natively over PCIe manifolds. Run gpt-oss-120b across 3 GPUs (72GB) for fast reasoning, leaving the 4th GPU dedicated to a secondary model and orchestration agents for parallel workloads.
004 RTX 3090 × 4 Budget AI Infer / Render Farm 96 GB 256 GB €890 / MO SELECT
/// 3D CREATIVE: Dense, cost-effective scaling for mass frame processing and background queue rendering (Deadline/Tractor clusters).

/// AI INFERENCE & AGENTS: Budget-friendly inference node for massive modern models. 96GB combined vRAM comfortably runs ~120B parameter models (e.g., Mistral Large 123B or Cohere Command A 111B at INT4) as local endpoints, without system paging.
005 RTX 4090 × 4 LLM Inference & Orchestration 96 GB 256 GB €1,650 / MO SELECT
/// 3D CREATIVE: The fastest gen-on-gen rendering velocity for rapid iteration, geometry baking, and 16K texture compilation.

/// AI INFERENCE & AGENTS: 96GB natively fits modern 120B-class architecture (e.g., gpt-oss-120b at Q4_K_M with ~70GB footprint) allowing massive room for 128k context windows, or runs equivalent multi-agent swarms in parallel isolated frameworks.
006 RTX 6000 Ada × 4 Professional VFX / CAD 192 GB 512 GB €3,165 / MO SELECT
/// 3D CREATIVE: 384GB ECC memory guarantees zero-crash physics sims, uncompressed massive CAD exports, and 100% stable overnight batch rendering.

/// ENTERPRISE AGENT ORCHESTRATION: 384GB ECC is the ultimate environment for complex agent loops and reasoning swarms. Natively runs enormous foundation models (e.g., Llama 3.1 405B at highly efficient EXL2 3.0 bpw, or DeepSeek-Coder-V2 236B) concurrently with rapid secondary agents. Bit-flip protection guarantees 100% stable uptime for multi-agent workflows executing continuous autonomous reasoning.
007 RTX 6000 Pro × 4 Enterprise AI Agents 384 GB 768 GB €3,500 / MO SELECT
/// AI TRAINING & FINE-TUNING: 768GB of uninterrupted enterprise vRAM natively hosts massive frontier architectures (e.g., Qwen 3.5 397B, or Llama 3.1 405B for multi-batch inference) with ultra-long context windows. Built for large-batch pre-training and LoRA fine-tuning using Deepspeed ZeRO architectures across an 8-way PCIe manifold.
008 RTX 6000 Pro × 8 AI Model Training PRO 768 GB 1.5 TB €6,850 / MO SELECT
/// AI TRAINING & FINE-TUNING: 1.5TB of system RAM and 768GB vRAM handles foundational model fine-tuning with ease. Maximum throughput for multi-node clusters.
009 H100 × 8 Enterprise Foundational 640 GB 1.5 TB €17,500 / MO SELECT
/// FOUNDATIONAL AI TRAINING: 640GB of HBM3 memory bridged via 4th Gen NVLink (900 GB/s bidirectional per GPU). The strict requirement for training 2026 foundational models from scratch without PCIe bus latency limits. Ensures maximized tensor core saturation yielding optimal tokens/second/watt limits.
/// TEAM INFRASTRUCTURE /// MACHINE LEARNING /// 3D RENDERING /// RESEARCH CLUSTERS /// DATA PRIVACY
ARCH_01 // CREATIVE TEAMS

PRIVATE SUBNET

Deploy a completely isolated private network where multiple workstations communicate with a central, shared storage array and a high-density render node via 10Gbps interconnects.

  • Shared Network Drives natively mounted
  • 10 Gbps Interconnect latency
  • Global encrypted VPN tunnels for remote artists
  • No data egress fees
[Workstation_1]─┐ [Workstation_2]─┼─[RENDER_NODE] + [STORAGE] [Workstation_3]─┘
ARCH_02 // MACHINE LEARNING

LOCAL AI MODELS

Full root/admin control to deploy LLMs, Diffusion workflows, or isolated RAG databases. Built for compliance environments requiring strict data sovereignty.

  • Data on YOUR PRIVATE server
  • Flat monthly fee — NO PER-TOKEN COST
  • Install Ubuntu, Docker, PyTorch, vLLM freely
  • Access to multi-GPU tensor cores
[DATASET] ──▶ [LOCAL_GPU_NODE] ──▶ [INFERENCE] └─▶ [ISOLATED_ENVIRONMENT]
CORE.PARAMETERS

WHY BARE METAL MATTERS

01

100% Dedicated

Unlike virtualized VPS instances, physical hardware is statically assigned to your workflow. Zero resource contention. Zero hypervisor overhead interrupting deep learning epochs or frame renders.

02

Global RDP / SSH

Hardware located in Poland (EU) under European privacy standards. We provide immediate 4K RDP credentials for Windows or SSH for Linux.

03

Direct Engineering Support

No tier-1 chat bots. When you need network modifications, OS reinstalls, or hardware rebooting, you interface directly with our data center engineers.

04

Mission-Critical Redundancy

Enterprise-grade reliability via dual-provider 10Gbps uplinks. Continuous power delivery guaranteed by inline UPS arrays backed by automated diesel generators during external grid failures.

CLIENT.FEEDBACK

OPERATIONAL SUCCESS

KNOWLEDGE_BASE

FREQUENTLY ASKED

WHAT ARE THE NETWORK SPEEDS (LAN/WAN)?

WAN (Internet): Budget servers start with 1 Gbps symmetric uplinks. Premium nodes and team networks default to 10 Gbps symmetric.
LAN (Internal): Within our data center, local interconnects range from 1 Gbps up to 100 Gbps specifically designed for high-density AI training clusters and shared storage arrays across multiple nodes.

IS THE GPU SHARED WITH OTHER CUSTOMERS?

NEGATIVE. Every machine you rent is 100% dedicated to you. The physical hardware is yours alone for the entire rental period. Full resources are always available — no throttling.

CAN MY ENTIRE TEAM SHARE ACCESS?

AFFIRMATIVE. We set up private subnets with multiple workstations and a render server. Each team member gets their own workstation, all connected to shared storage and the central GPU server via VPN.

CAN I INSTALL MY OWN SOFTWARE?

AFFIRMATIVE. You have full admin (Windows) or root (Linux) access. Install Blender, Cinema 4D, PyTorch, Ollama, ComfyUI, etc. It's your machine.

WHAT PAYMENT METHODS DO YOU ACCEPT?

We accept PayPal, Stripe (Credit Cards), and Bank Transfers. EU businesses with a valid VAT ID are VAT exempt. Prices listed are net.

INITIATE DEPLOYMENT

Drop us your parameters. We'll establish communications and configure your hardware within 24 hours.





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