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GPU Dedicated Servers

Dedicated GPU Servers

High-density GPU hardware for AI, ML, rendering and compute-intensive workloads. Choose from RTX, A-series and Tesla-class GPUs.

Flexible GPU counts • Hourly or monthly billing options • Preinstalled ML frameworks available

GPU & Software Options
RTX 4090 / 5090 Tesla V100 / H100 CUDA, cuDNN, PyTorch
Ideal for
Deep Learning
Training and inference at scale
Rendering & VFX
GPU-accelerated rendering farms
HPC & Scientific
Compute clusters and simulations

Purpose-built GPU servers for ML & Rendering

Single and multi‑GPU configurations with PCIe or NVLink
Large RAM and NVMe local storage for datasets and checkpoints
Preinstalled ML frameworks and option to add Jupyter / Anaconda
24/7 infrastructure support and monitoring

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Showing 4 GPU packages
gpu.v2-4090x4 (IS)
Starting from
$1,589.50 USD
Monthly
  • EPYC 7402p 24x2.8GHz CPU
  • 24 cores / 2.8GHz Cores / GHz
  • 384GB RAM
  • 2x3.84TB NVMe SSD Disk
  • 4xRTX 4090 24GB GPU
Order Now
vgpu.v1-1080Ti (IS)
Starting from
$102.08 USD
Monthly
  • E5-26xx CPU
  • 8 cores / 2.4GHz Cores / GHz
  • 32GB RAM
  • 240 GB SSD Disk
  • 1x1080Ti 11GB GPU
Order Now
vgpu.v3-4090+ (IS)
Starting from
$406.85 USD
Monthly
  • EPYC 7402 8x2.8GHz CPU
  • 8 cores / 2.8GHz Cores / GHz
  • 64GB RAM
  • 720 GB NVMe Disk
  • 1xRTX 4090 24GB GPU
Order Now
vgpu.v4-H100 (IS)
Starting from
$2,610.27 USD
Monthly
  • EPYC 9654 32x2.4GHz CPU
  • 32 cores / 2.4GHz Cores / GHz
  • 160GB RAM
  • 1 TB NVMe Disk
  • 1xH100 80GB GPU
Order Now

GPU Hosting for AI, Rendering & HPC

Hosted GPU servers with modern accelerators, optimized networking and options for hourly or monthly billing.

ML Frameworks
Preinstalled ML Stacks
CUDA, cuDNN, PyTorch, TensorFlow available
Ollama
Workspace Options
Jupyter, Anaconda and container tooling ready
DDoS
Secure & Fast Network
Dedicated bandwidth and mitigation options
Data Centers
Global Locations
Multiple POPs for low latency

GPU Dedicated Server Solutions

From single‑GPU nodes to multi‑GPU racks — tailored for ML, HPC and rendering workloads.