Rent GPU VDS Server AI & GPU Computing
VDS servers powered by NVIDIA Tesla T4, A2 and RTX 5000 Ada GPUs. Rent a GPU server for AI, machine learning, deep learning, 3D rendering and video processing starting from ₺2/mo.
GPU VDS Plans
Choose the right GPU VDS plan for your needs. All plans include NVIDIA GPU, NVMe SSD, DDoS protection and Turkey location.
ISP GPU VDS TR 1
1 vCPU
Processor
2 GB RAM
Memory
25 GB
NVMe
1 TB
1 Gbps
- 1 vCPU Processor
- 2 GB DDR4 RAM
- 25 GB NVMe SSD
- NVIDIA Tesla T4 1 GB (Shared)
- 1 Gbps / 1 TB Traffic
- Turkey Location
- Full Root Access
- DDoS Protection
- 24/7 Technical Support
ISP GPU VDS TR 2
2 vCPU
Processor
4 GB RAM
Memory
50 GB
NVMe
2 TB
1 Gbps
- 2 vCPU Processor
- 4 GB DDR4 RAM
- 50 GB NVMe SSD
- NVIDIA Tesla T4 2 GB (Shared)
- 1 Gbps / 2 TB Traffic
- Turkey Location
- Full Root Access
- DDoS Protection
- 24/7 Technical Support
ISP GPU VDS TR 3
3 vCPU
Processor
6 GB RAM
Memory
60 GB
NVMe
3 TB
1 Gbps
- 3 vCPU Processor
- 6 GB DDR4 RAM
- 60 GB NVMe SSD
- NVIDIA A2 4 GB (Shared)
- 1 Gbps / 3 TB Traffic
- Turkey Location
- Full Root Access
- DDoS Protection
- 24/7 Technical Support
ISP GPU VDS TR 4
4 vCPU
Processor
8 GB RAM
Memory
80 GB
NVMe
4 TB
1 Gbps
- 4 vCPU Processor
- 8 GB DDR4 RAM
- 80 GB NVMe SSD
- NVIDIA A2 8 GB (Shared)
- 1 Gbps / 4 TB Traffic
- Turkey Location
- Full Root Access
- DDoS Protection
- 24/7 Technical Support
ISP GPU VDS TR 5
5 vCPU
Processor
12 GB RAM
Memory
120 GB
NVMe
5 TB
1 Gbps
- 5 vCPU Processor
- 12 GB DDR4 RAM
- 120 GB NVMe SSD
- NVIDIA RTX 5000 Ada 8 GB (Shared)
- 1 Gbps / 5 TB Traffic
- Turkey Location
- Full Root Access
- DDoS Protection
- 24/7 Technical Support
ISP GPU VDS TR 6
6 vCPU
Processor
16 GB RAM
Memory
160 GB
NVMe
8 TB
1 Gbps
- 6 vCPU Processor
- 16 GB DDR4 RAM
- 160 GB NVMe SSD
- NVIDIA RTX 5000 Ada 16 GB (Shared)
- 1 Gbps / 8 TB Traffic
- Turkey Location
- Full Root Access
- DDoS Protection
- 24/7 Technical Support
GPU VDS Technical Features
DoğruHost GPU VDS plans provide enterprise-grade hardware and infrastructure for AI, machine learning and GPU computing workloads.
NVIDIA GPUs
Tesla T4, A2 and RTX 5000 Ada Generation GPUs with CUDA, Tensor Core and RT Core support. Optimized for AI model training, inference and rendering.
NVMe SSD Storage
Enterprise NVMe SSDs with high I/O performance. Ultra-fast storage for large dataset loading, model checkpoint saving and data preprocessing.
CUDA & cuDNN Support
TensorFlow, PyTorch, JAX, ONNX Runtime and all CUDA-compatible frameworks supported. Pre-installed GPU drivers and CUDA toolkit available.
DDoS Protection
10 Gbps DDoS protection included with all GPU VDS plans. Your API endpoints and ML services stay safe 24/7.
99.9% Uptime Guarantee
Dual-redundant infrastructure in Tier-3+ data centers with 99.9% uptime guarantee. Your inference API is always accessible.
Fast Setup
GPU VDS server ready shortly after order. Pre-installed NVIDIA drivers and CUDA toolkit options to start your AI/ML projects immediately.
Full Root Access
Install any framework, library and software with full root access. Freely use Docker, Jupyter Notebook, VS Code Server and more.
Flexible Scaling
Upgrade your GPU VDS plan as your project grows. Seamless plan transitions for more VRAM, CPU and RAM.
GPU VDS Use Cases
Common use cases for GPU VDS servers:
AI & Machine Learning
LLM fine-tuning, model training, inference API services. GPU-accelerated AI projects with TensorFlow, PyTorch, Hugging Face Transformers.
3D Rendering & Visualization
GPU-accelerated rendering with Blender, Maya, 3ds Max. Ideal for architectural visualization, animation and VFX projects.
Video Processing & Transcoding
Hardware video encoding/decoding with NVIDIA NVENC. FFmpeg GPU acceleration, live stream transcoding and batch video processing.
Scientific Computing
GPU parallel computing for molecular simulation, CFD, genome analysis and other HPC workloads.
LLM Inference & AI API
Host your own LLM models (Llama, Mistral, GPT etc.). Low-latency inference API services with vLLM, TGI or Ollama.
Data Science & Analytics
GPU-accelerated data analysis with RAPIDS, cuDF, cuML. Analyze large datasets tens of times faster than traditional CPU.
What is GPU VDS? GPU Server Hosting Guide
GPU VDS (GPU Virtual Dedicated Server) is a virtual server solution that includes NVIDIA GPU hardware in addition to standard VDS resources. Unlike traditional CPU-based servers, GPU VDS servers deliver orders-of-magnitude higher performance in parallel computing workloads — AI model training, deep learning inference, 3D rendering, video processing and scientific computing. With GPU server rental, you can access this advanced computing power without expensive hardware investments.
DoğruHost GPU VDS plans feature NVIDIA Tesla T4, NVIDIA A2 and NVIDIA RTX 5000 Ada Generation GPUs in a shared configuration. The shared GPU model allows you to access the GPU memory (VRAM) you need without bearing the cost of an entire GPU card. This model is ideal for inference, small-to-medium scale model training, prototyping and development environments.
With GPU server rental, you can quickly bring your AI projects to life. Our infrastructure supports all popular AI/ML frameworks including TensorFlow, PyTorch, CUDA, cuDNN, and is optimized for LLM fine-tuning, image recognition, NLP, speech synthesis and many other GPU-accelerated workloads.
GPU rental is a growing need worldwide. AI startups, university research groups, 3D artists, video production companies and data scientists can now scale their projects independently of local computer limitations through GPU server rental.
GPU VDS vs Standard VDS Comparison
While GPU VDS and standard VDS servers share the same virtualization infrastructure, GPU VDS servers provide access to NVIDIA GPU hardware, delivering dramatic performance gains in parallel computing workloads. Standard VDS servers excel as general-purpose web hosting, database and application servers, while GPU VDS servers are designed for GPU-intensive tasks like AI/ML, rendering and scientific computing.
To determine which solution is right for you, evaluate your project needs. If you work with AI model training, deep learning inference, 3D rendering or video transcoding, choose GPU VDS. For websites, databases or general application servers, standard VDS is the better choice.
| Feature | GPU VDS | Standard VDS |
|---|---|---|
| GPU Hardware | NVIDIA Tesla T4 / A2 / RTX 5000 Ada | No GPU |
| Parallel Computing | Thousands of CUDA cores | CPU cores only |
| AI/ML Performance | 10-100x faster | Basic level |
| 3D Render Speed | GPU-accelerated, very fast | CPU-based, slow |
| Video Processing | NVENC hardware encoding | Software encoding |
| Ideal Use | AI/ML, rendering, scientific computing | Web, database, application server |
| Pricing | Includes GPU add-on cost | Standard VDS pricing |
Related Services
GPU Dedicated Server
Physical servers with full GPU cards. Maximum GPU performance with NVIDIA Tesla, RTX and H200.
VDS Server
General-purpose VDS server plans. For web, database and application servers that don't require GPU.
Dedicated Server
Physical server solutions without GPU. All hardware resources exclusively yours, maximum performance.
Frequently Asked Questions
Find answers to the most frequently asked questions about our GPU VDS service below.
GPU VDS is a specialized server solution that adds NVIDIA GPU hardware to standard VDS servers. With CUDA cores, it delivers orders-of-magnitude higher performance in parallel computing workloads like AI model training, deep learning inference, 3D rendering, video processing and scientific computing.
DoğruHost GPU VDS prices start from ₺2/month. The most affordable plan includes NVIDIA Tesla T4 1 GB shared GPU with 1 vCPU and 2 GB RAM. The top plan offers NVIDIA RTX 5000 Ada 16 GB shared GPU with 6 vCPU and 16 GB RAM. All plans include NVMe SSD, DDoS protection and 24/7 support.
Shared GPU means a physical NVIDIA GPU card is partitioned among multiple users using NVIDIA vGPU or MIG (Multi-Instance GPU) technology. Each user gets guaranteed access to a specified amount of GPU memory (VRAM) and compute power. This model is much more cost-effective than purchasing a full GPU card.
All CUDA-compatible frameworks and libraries are supported: TensorFlow, PyTorch, JAX, Keras, scikit-learn (GPU), ONNX Runtime, Hugging Face Transformers, vLLM, text-generation-inference, Ollama, RAPIDS, cuDF, cuML and more.
Yes! You can host open-source LLM models like Llama, Mistral, Phi, Qwen on our GPU VDS plans. Set up your own inference API with vLLM or text-generation-inference (TGI). Choose a plan with sufficient VRAM for your model size.
Yes, with full root access you can install Docker, NVIDIA Container Toolkit (nvidia-docker) and Kubernetes. Easily manage your ML pipelines with GPU-enabled containers.
GPU VDS plans offer shared GPU. For dedicated GPU needs, check our GPU Dedicated Server plans where the entire NVIDIA card runs on a physical server exclusively for you.
Yes, DoğruHost offers a 7-day money-back guarantee on all GPU VDS plans. If not satisfied, you can request a refund within 7 days.
5.000+
Aktif Müşteri
Türkiye Geneli
200+
Fiziksel Sunucu
İstanbul Tier III+ DC
%99.9
CanlıSLA Uptime
Sıfır Donanım Kesintisi
2dk
Ortalama Yanıt Süresi
7/24 Türkçe Uzman Ekip
Accelerate Your AI Projects with GPU VDS
Speed up your AI, machine learning and rendering projects with NVIDIA Tesla T4, A2 and RTX 5000 Ada GPU-powered VDS servers. Rent a GPU server starting from ₺2/mo.
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