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GPU Servers

Powerful GPU Servers for AI, Deep Learning, and Rendering

Unlock unmatched computational power with our GPU servers, built for AI model training, machine learning, big data analytics, and high-end graphics rendering.

Explore GPU Server Plans

Push the Boundaries of GPU Power
Enterprise-grade GPU servers for AI, Deep learning, and Rendering.

Rent enterprise-grade NVIDIA GPU servers to accelerate AI model training, machine learning, video processing, big data analytics, blockchain applications, 3D rendering, and advanced scientific computing.

01

Unmatched Parallel Processing Power

Harness the performance of NVIDIA RTX, Tesla, and A100 GPUs for AI model training, deep learning, and large-scale simulations.

02

4K & VR-Ready Performance

Enterprise GPUs capable of powering advanced graphics, virtual reality, and real-time multiplayer environments.

03

Optimized for AI & ML Frameworks

Pre-configured to support TensorFlow, PyTorch, and other leading AI frameworks for faster setup and training.

AI Training to Gaming & Encoding.

Our GPU servers power AI model training, immersive cloud gaming, high-speed video rendering, game development, scientific simulations, and blockchain computing with unmatched speed and reliability.

Intel Core i7-7700 for Gaming and Editing No Setup Fee € 172
  • All Important Features
  • TP 8.9 TFLOPS
  • 4C / 8T @3.6 GHz
  • RAM 64 GB DDR4
  • 2 x 512 GB SSD
  • Port 1Gbps
  • Bandwidth Unlimited
  • OS Linux/Windows
  • Location Germany
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Intel Core i5-13500 for AI inference Setup Fee € 79 € 239
  • All Important Features
  • TP 306.8 TFLOPS
  • 14C / 20T @4.8 GHz T
  • RAM 64 GB DDR4 ECC
  • 2x 1.92 TB (Gen3)
  • Port 1Gbps
  • Bandwidth Unlimited
  • OS Linux/Windows
  • Location Germany
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Intel Xeon Gold 5412U for AI training No Setup Fee € 1057
  • All Important Features
  • TP 1457.0 TFLOPS
  • 24C / 48T @2.1 GHz
  • RAM 128 GB DDR5 ECC reg
  • 2x 1.92 TB (Gen4)
  • Port 1Gbps
  • Bandwidth Unlimited
  • OS Linux/Windows
  • Location Germany
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GPU vs CPU — Which Server Is Right for Your Compute Workload?

GPUs and CPUs are fundamentally different architectures. Choosing the wrong one wastes budget. Here's how to match hardware to your workload.

Criteria GTX 1080 RTX 4000 SFF Ada RTX 6000 Ada
GPU VRAM 8 GB GDDR5X 20 GB GDDR6 ECC 48 GB GDDR6 ECC
Tensor Performance 8.9 TFLOPS 306.8 TFLOPS 1,457 TFLOPS
ECC Memory
Ray Tracing
OS Support
Best For Cloud gaming, RDP, video encoding AI inference, ML training, rendering LLM training, HPC, 4K/8K rendering
Setup Fee None €79 one-time None
Starting Price €172/mo €239/mo €1,057/mo

What Can You Run on a GPU Server?

AI Model Training & Fine-Tuning

Train transformers, CNNs, and diffusion models with PyTorch or TensorFlow. The RTX 6000 Ada's 48 GB ECC VRAM handles LLM fine-tuning and large batch sizes that exhaust consumer GPUs — without ECC-related silent data corruption.

3D Rendering & Video Production

Render Blender, Cinema 4D, and V-Ray scenes using GPU CUDA cores. NVENC hardware encoding accelerates 4K/8K export in DaVinci Resolve and Premiere Pro — cutting render times from hours to minutes versus CPU-only workflows.

Cloud Gaming & Remote Desktop

Stream high-fidelity games via NVIDIA GRID / Parsec to any device. The GTX 1080 plan runs 1080p/1440p gaming at high settings with NVENC low-latency streaming — ideal for GeForce Experience, Moonlight, or custom cloud gaming setups.

Scientific Computing & Simulations

Run molecular dynamics, climate models, and computational fluid dynamics with CUDA-accelerated libraries like RAPIDS, cuBLAS, and cuFFT. The RTX 6000 Ada delivers data center-class double-precision performance for research workloads.

Generative AI & Stable Diffusion

Run Stable Diffusion, DALL-E fine-tuning, and ControlNet locally without API rate limits or usage caps. 20–48 GB VRAM enables high-resolution image generation, LoRA training, and real-time inpainting at resolutions that cloud AI APIs can't match.

Game Development & Build Pipelines

Compile shaders, bake lighting, and run physics simulations in Unreal Engine 5 or Unity. GPU-accelerated builds with CUDA-based tools cut iteration time dramatically — ideal for indie studios and game dev teams needing dedicated build infrastructure.

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FREQUENTLY ASKED QUESTIONS

Below you'll find answers to the questions we get asked the most about our services.

A GPU server is a high-performance computing server equipped with Graphics Processing Units (GPUs) that accelerate parallel processing tasks. They are ideal for AI model training, deep learning, 3D rendering, gaming, scientific simulations, and video processing where massive computational power is required.
We provide enterprise-grade NVIDIA GPUs, including RTX and Geforce GTX series. These GPUs are optimized for AI, machine learning, gaming, and high-performance rendering workloads.
The top five GPU server use cases are:
  • AI & Machine Learning: Accelerate neural network training, deep learning algorithms, and large-scale data processing.
  • Cloud Gaming: Deliver high-resolution, low-latency gaming experiences to players worldwide.
  • Game Development: Build, test, and optimize games with Unreal Engine, Unity, and other GPU-intensive tools.
  • Video Rendering & Editing: Render 4K/8K videos, animations, and VFX projects faster than ever.
  • Scientific & Engineering Simulations: Run complex simulations and computational modeling for research and development.
Yes. Our GPU servers are optimized for cloud gaming, game testing, and development with Unreal Engine, Unity, and other platforms. They support high-resolution, low-latency performance for both gameplay and development needs.
Absolutely. GPU servers significantly reduce training time for deep learning models, allowing AI researchers and developers to run complex computations faster than traditional CPU servers.
ECC (Error-Correcting Code) VRAM silently detects and corrects single-bit memory errors that would otherwise cause model crashes, rendering corruption, or silent data corruption in scientific simulations. Both the RTX 4000 SFF Ada and RTX 6000 Ada use GDDR6 ECC — a critical differentiator from consumer RTX cards which do not support ECC. For production AI training or long-running HPC jobs, ECC VRAM is non-negotiable.
All GPU servers are hosted in Germany (Frankfurt/Falkenstein). Typical latency: UK 20–30 ms, France 15–20 ms, Amsterdam 10–15 ms, US East Coast 90–110 ms. Germany is an optimal hub for European AI teams, research institutions, and game studios that need both low latency and the legal certainty of EU data protection.
Our affiliate program pays 10% on monthly referral revenue up to €499, 20% on €500–€1,999, and 30% above €2,000 — recurring monthly. A single RTX 6000 Ada referral at €1,057/mo puts you directly in the 30% commission tier. Register at cloudvpshosts.com/ClientArea/affiliates.php.

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