Turkey (Türkçe) 
With 16 GB of GDDR7, the GeForce RTX 5060 Ti is our best VRAM-per-lira GPU server: enough memory for SDXL pipelines, 13B-class language models, mid-sized renders and multi-session transcoding. This guide covers what the extra VRAM buys you, the dual-GPU option, and which teams choose this package.
It is a physical dedicated server with a GeForce RTX 5060 Ti reserved entirely for you. It shares the Blackwell architecture with the RTX 5060 but adds more CUDA cores and twice the VRAM — and in AI and content work, VRAM is usually the real bottleneck.
We offer it in two forms: a single-card RTX 5060 Ti GPU Server and a two-card Dual RTX 5060 Ti GPU Server for teams that want two jobs running at once without either slowing the other down.
| RTX 5060 Ti | Dual RTX 5060 Ti | |
|---|---|---|
| GPU | 1× RTX 5060 Ti, 16 GB | 2× RTX 5060 Ti, 32 GB total |
| CPU | AMD Ryzen 9 9950X (16C/32T, 4.3 GHz) | AMD Ryzen 9 9950X (16C/32T, 4.3 GHz) |
| RAM | 32 GB DDR5 (up to 128 GB) | 32 GB DDR5 (up to 128 GB) |
| Storage | 1 TB M.2 NVMe (Gen4) | 2 TB M.2 NVMe (Gen5) |
| Monthly | 19,000 TL | 28,000 TL |
| Setup fee | 19,000 TL (waived on 3+ months) | 28,000 TL (waived on 3+ months) |
Modern diffusion models need constant VRAM juggling on 8 GB cards. With 16 GB you can run high resolutions, ControlNet and upscaler chains together in ComfyUI or Automatic1111.
4-bit quantized 13B–14B models fit comfortably, and an enterprise RAG stack can host the LLM, the embedding model and a reranker on the same card — rarely possible with 8 GB.
Larger Blender/OptiX scenes, Unreal Engine visualization and architectural presentations all benefit, especially with high-resolution textures.
AV1 encoding for bitrate ladders, VOD library conversion and live re-encoding can be consolidated onto one card.
In the dual package the cards are independent: fine-tune on one while production inference runs on the other. Without NVLink, splitting a single model across both is not efficient — run two separate jobs instead.
| Profile | Typical use | Why this package |
|---|---|---|
| AI product teams | RAG, chatbots, document analysis | 13B model plus helper models on one card |
| Visual content studios | SDXL/Flux pipelines, product imagery | Production without VRAM juggling |
| Game and 3D developers | Unreal builds, real-time scenes | Current architecture with ample VRAM |
| Media and broadcast | AV1 ladders, VOD conversion | Multi-session NVENC capacity |
| Agencies and enterprise IT | GPU remote desktops | Low latency from Türkiye |
| RTX 5060 Ti | Tesla P40 | RTX 5090 | |
|---|---|---|---|
| VRAM | 16 GB GDDR7 | 24 GB GDDR5 | 32 GB GDDR7 |
| Architecture | Blackwell (2025) | Pascal (2016) | Blackwell (2025) |
| Tensor cores | Yes (5th gen) | No | Yes (5th gen) |
| Video encode | AV1 + HEVC | HEVC only | AV1 + HEVC |
| Strength | Modern models, image generation | Large VRAM, batch inference | Top speed with 32 GB |
| Monthly | 19,000 TL | 20,000 TL | 35,000 TL |
Two cards: separate jobs with CUDA_VISIBLE_DEVICES, or --gpus '"device=0"' in Docker.
Memory: tools such as vLLM let you cap VRAM usage (--gpu-memory-utilization) so a second service can share the card.
Storage: model weights grow fast; the dual package ships 2 TB Gen5 NVMe, and extra disks can be requested for the single-card package.
Is this the 8 GB version?
No — our packages use the 16 GB GDDR7 variant.
Can both cards run one model together?
Without NVLink, model parallelism is inefficient. Run two separate workloads instead.
Why is there a setup fee?
It applies to monthly billing only and is waived on 3-month, 6-month and yearly terms.
Can I install Windows?
Yes — Windows Server 2022/2025 and Windows 11 are supported with GPU-accelerated RDP.
RTX 5060 Ti GPU server — 19,000 TL/month
16 GB GDDR7, Ryzen 9 9950X, 32 GB DDR5 and 1 TB Gen4 NVMe. Dual-card option at 28,000 TL/month.
See the package
