GPU Servers from $117 per Month

Dedicated servers with RTX 5070 Ti and RTX 2080 Ti for inference, model training, rendering and compute workloads. Check VRAM capacity and CUDA compatibility with your software stack before ordering.

Provisioning in 2–12 Hours 24/7 Infrastructure Support 1 Gbit/s Port by Configuration
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HSTQ GPU Servers for AI/ML, Inference and Rendering

HSTQ GPU servers are designed for compute workloads that need a dedicated environment. Available resources and prices are shown for every configuration.

The order page shows the current configuration, price and available billing periods. Contact us for a workload-specific recommendation.
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Check VRAM and Compatibility First

For AI workloads, verify the GPU model, VRAM, CUDA version, driver and framework requirements. For rendering, also confirm support for your rendering engine.

The NVS 315 is intended primarily for basic display output and VDI, not modern ML training. Choose an RTX configuration for CUDA compute workloads.

Check Compatibility

ASRock 2U1G-B650 · Ryzen 9 9900X · RTX 5070 Ti 16GB

NetherlandsASRock
  • CPU12C/24T, up to 4.40 GHz
  • RAM64 GB
  • GPUNVIDIA GeForce RTX 5070 Ti 16G
  • Storage2× 960 GB NVMe SSD
  • Network1 Gbit/s bandwidth subject to order terms
$371/month
Order

Ryzen 9 3900X · NVS 315 (not for modern ML)

Netherlands
  • CPU12C/24T, up to 3.80 GHz
  • RAM64 GB
  • GPUNVIDIA NVS 315 — basic display/VDI
  • Storage2× 500 GB NVMe SSD
  • Network1 Gbit/s bandwidth subject to order terms
$117/month
Order

Ryzen 9 3900X · RTX 2080 Ti 11GB

Netherlands
  • CPU12C/24T, up to 3.80 GHz
  • RAM64 GB
  • GPUGigabyte GeForce RTX 2080 Ti 11G
  • Storage2× 500 GB NVMe SSD
  • Network1 Gbit/s bandwidth subject to order terms
$196/month
Order

Asus ESC4000 G4 · 2× Xeon Silver 4208 · RTX 2080 Ti 11GB

NetherlandsAsus
  • CPU16C/32T, 2.10 GHz
  • RAM256 GB
  • GPUGigabyte GeForce RTX 2080 Ti 11G
  • Storage2× 500 GB NVMe SSD
  • Network1 Gbit/s bandwidth subject to order terms
$611/month
Order
Provisioning in 2–12 Hours 24/7 Network and Hardware Support Netherlands

GPU Server FAQ

What Workloads Are HSTQ GPU Servers Suitable For?

They suit model training and inference, data processing, rendering and other compute workloads that require a dedicated GPU environment.

How Do I Choose a GPU Server Configuration?

Check the GPU model, VRAM, CUDA version, framework requirements, CPU, RAM, storage and network. The NVS 315 is not suitable for modern ML training.

Can I Upgrade Resources as the Project Grows?

Upgrade options depend on the platform and component availability. Confirm supported RAM, storage and migration options before ordering.

Choose a GPU Server for My Workload