GPU Servers | ServerPlus

COMPARE YOUR OPTIONS

GPU Servers Plans

Compare specifications and billing periods. Prices are in Turkish lira (TRY) unless otherwise stated; confirm applicable taxes and the final total before ordering.

GPU-3

Starter

GPU options

AMD Radeon Graphics / NVIDIA RTX

Processor

AMD Ryzen 5 5600G

4.4 GHz · 6 Core / 12 Thread

RAMMemory16 GB DDR4 ECC

SSDStorage250 GB NVMe SSD

NETPort1 Gbps

TBTraffic3 TB / month

₺2.500Monthly price

With annual billing
1 month free

Configure Server

Physical GPU · Remote access · Türkiye location

GPU-4

GPU-5

High Performance

GPU options

AMD Radeon Graphics / NVIDIA RTX

Processor

AMD Ryzen 7 5700G

4.6 GHz · 8 Core / 16 Thread

RAMMemory32 GB DDR4 ECC

SSDStorage512 GB NVMe SSD

NETPort1 Gbps

TBTraffic3 TB / month

₺3.500Monthly price

With annual billing
1 month free

Configure Server

Physical GPU · Remote access · Türkiye location

BUILT AROUND YOUR REQUIREMENTS

Select hardware for your actual GPU workload

01

AI and compute

Review GPU memory, framework compatibility and processing requirements before ordering. CUDA-based applications require a compatible NVIDIA configuration.

02

Rendering and visual workloads

Choose hardware around the renderer and project size you use. GPU support, application licences and remote display requirements vary by software.

03

Confirm the full specification

Check the GPU model and quantity, CPU, memory and storage in your final configuration. The hero illustration does not describe every plan.

USEFUL ANSWERS

Frequently asked questions

Does every plan include six GPUs?

No. The image illustrates a multi-GPU chassis. The GPU model and quantity depend on the configuration you select.

Can I run AI software?

Compatibility depends on the selected GPU, its memory, drivers and your framework. Share these requirements before ordering.

How do I connect to the server?

Remote access methods such as SSH or Remote Desktop depend on your operating system and configuration. Access and security settings are arranged during deployment.

GPU Servers: Bring more compute power to your project.