Turkey (Türkçe) 
With its Blackwell architecture and 32GB of GDDR7 memory, the NVIDIA GeForce RTX 5090 delivers top-tier performance in 3D rendering, video production, large language model (LLM) inference and high-resolution graphics work. In this guide you will find what RTX 5090 server rental is good for, who it suits and the details of the SistemDC plan.
An RTX 5090 server is a rented infrastructure service that hosts an NVIDIA GeForce RTX 5090 GPU on a physical dedicated server. Render studios, AI startups, game developers and video production teams get access to the latest GPU technology without an expensive hardware investment.
SistemDC RTX 5090 GPU Server plan offers a balanced AI/rendering platform with an AMD Ryzen 9 9950X processor, 32GB of DDR5 RAM (upgradable to 128GB) and a 2 TB M.2 NVMe (Gen5) disk. All plans are listed on our GPU server rental page.
Render complex scenes quickly with Blender, 3ds Max, Cinema 4D and Octane.
4K/8K encoding and colour grading with DaVinci Resolve and Premiere Pro.
Run Llama, Mistral and similar models locally.
High-end graphics testing and build pipelines with Unreal Engine 5 and Unity.
RTX 5090 GPU Server plan specifications:
To order right away: RTX 5090 Server Order Page
| Feature | RTX 5090 | Tesla P40 |
|---|---|---|
| VRAM | 32GB GDDR7 | 24GB GDDR5 |
| Strongest At | Rendering, LLM inference, video | Model training, CUDA workloads |
| Price | 35,000₺/mo | 20,000₺/mo |
| Processor | Ryzen 9 9950X | 2x Xeon E5-2680 v4 |
For model training, read our Tesla P40 server guide for details. Rendering and inference workloads may be better served by the RTX 5090. For a general overview of GPU server types, see also our What is a GPU VDS? article.
The RTX 5090's 32GB of VRAM and DLSS 4 support cut render times dramatically in applications such as Blender and 3ds Max. In complex scenes, high-polygon models and ray-traced projects, a 2–3x speed-up over previous-generation cards is achievable.
With 32GB of VRAM, Llama 3 8B, Mistral 7B and similar models run comfortably. The Turkey location provides low latency and KVKK compliance; user data does not leave the country.
Important: For large-scale model training, a Tesla P40 or a multi-GPU configuration may be more suitable. For inference- and rendering-focused projects, the RTX 5090 is the ideal choice.
