GPU Dedicated Server Maximum GPU Performance
We don't split the GPU — the entire card runs on a physical server dedicated to you. NVIDIA Tesla P4, T4, A2, RTX 4000/5000/6000 Ada and H200 options for large-scale AI model training, inference and HPC workloads. Starting from ₺12/mo.
GPU Dedicated Server Plans
All GPU Dedicated plans include a 16-core / 32-thread processor, 128 GB RAM physical server base with a full NVIDIA GPU card. The entire GPU card is exclusively yours.
Dedicated Tesla P4
Tesla P4 8 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
2x960 GB SSD
Enterprise Disk
10 TB Traffic
DDoS Protected
Dedicated RX 7600
RX 7600 8 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
2x960 GB SSD
Enterprise Disk
10 TB Traffic
DDoS Protected
Dedicated A2
NVIDIA A2 16 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
2x960 GB SSD
Enterprise Disk
10 TB Traffic
DDoS Protected
Dedicated Tesla T4
Tesla T4 16 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
2x960 GB SSD
Enterprise Disk
20 TB Traffic
DDoS Protected
Dedicated RX 7900
RX 7900 XTX 24 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
2x960 GB SSD
Enterprise Disk
20 TB Traffic
DDoS Protected
Dedicated RTX 4000
RTX 4000 Ada 20 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
4x960 GB SSD
Enterprise Disk
20 TB Traffic
DDoS Protected
Dedicated RTX 5000
RTX 5000 Ada 32 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
4x960 GB SSD
Enterprise Disk
30 TB Traffic
DDoS Protected
Dedicated RTX 6000
RTX 6000 Ada 48 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
4x1.92 TB NVMe
Enterprise Disk
Unlimited Traffic
DDoS Protected
Dedicated H200
NVIDIA H200 141 GB
Full GPU Card
16C/32T Xeon
Physical Processor
128 GB RAM
ECC RAM
4x1.92 TB NVMe
Enterprise Disk
Unlimited Traffic
DDoS Protected
Technical Specifications
DoğruHost GPU dedicated server infrastructure provides enterprise-grade hardware and full GPU isolation for maximum performance.
Full NVIDIA & AMD GPUs
Tesla P4, T4, A2, RTX 4000/5000/6000 Ada, RX 7600/7900, H200 — the entire GPU card is exclusively yours. All VRAM, CUDA cores and Tensor Cores for your exclusive use.
Enterprise SSD & NVMe
Enterprise-grade SSD and NVMe disks with hardware RAID support (RAID 1, RAID 10). Ideal for large model and dataset storage.
DDoS Protection (10-20 Gbps)
All GPU dedicated servers include 10-20 Gbps DDoS protection. Your AI API endpoints are protected against Layer 3/4/7 attacks.
IPMI/KVM Remote Access
All servers include IPMI or KVM over IP remote management. BIOS settings, OS installation, GPU driver updates and remote restarts.
99.9% Uptime Guarantee
Dual-redundant infrastructure in Tier-3+ data centers with 99.9% uptime guarantee. Same-day GPU hardware replacement guarantee.
24/7 Technical Support
Expert team available 24/7 for GPU driver issues, CUDA configuration, hardware failures and network configuration.
Setup Time
Standard GPU dedicated server configurations delivered within 24-72 hours. Custom configurations may require additional time.
Customizable Hardware
RAM, disk, bandwidth and additional GPU requests can be accommodated. Contact us for multi-GPU configurations.
GPU Dedicated Server Use Cases
Most common use cases for full GPU card dedicated servers:
Large AI Model Training
Training billion-parameter LLM, diffusion and multimodal models. Full VRAM access for large batch sizes and long training runs.
High-Performance Inference
Production inference for 70B+ parameter models. Low latency and high throughput with TensorRT, vLLM and NVIDIA Triton.
Professional Render & VFX
Professional GPU rendering for film, advertising and architectural visualization. Blender Cycles, V-Ray, OctaneRender and Arnold.
HPC & Scientific Computing
Molecular dynamics simulation, CFD, climate modeling and genome analysis. Full GPU power for complex scientific computations.
Media & Video Processing
4K/8K video transcoding, live stream encoding and batch media processing. NVENC/NVDEC hardware codec support.
Enterprise AI Infrastructure
Enterprise AI/ML pipelines, model registry, A/B testing and automated model deployment. Full isolation for security compliance.
Frequently Asked Questions
Find answers to the most frequently asked questions about our GPU dedicated server service below.
A GPU dedicated server adds a full NVIDIA or AMD GPU card to physical server hardware. The entire VRAM, CUDA cores and compute power are exclusively yours — no sharing. Critical for large-scale AI model training, high-VRAM inference and HPC workloads.
DoğruHost GPU dedicated server prices start from ₺12/month. The entry-level plan includes NVIDIA Tesla P4 8 GB full GPU card, while the top plan features NVIDIA H200 141 GB HBM3e. All plans include 16C/32T processor, 128 GB RAM, DDoS protection and IPMI access.
In the shared GPU model (GPU VDS), a GPU card is partitioned among multiple users. In the full GPU model (GPU Dedicated), the entire card is exclusively yours. Full GPU is required for large model training, high VRAM needs and maximum consistent performance.
NVIDIA Tesla P4 (8 GB), AMD RX 7600 (8 GB), NVIDIA A2 (16 GB), NVIDIA Tesla T4 (16 GB), AMD RX 7900 XTX (24 GB), NVIDIA RTX 4000 Ada (20 GB), NVIDIA RTX 5000 Ada (32 GB), NVIDIA RTX 6000 Ada (48 GB) and NVIDIA H200 (141 GB HBM3e).
All GPU dedicated plans include a 16-core / 32-thread Intel Xeon processor, 128 GB DDR4 ECC RAM, enterprise SSD/NVMe disks (RAID configured), DDoS protection, IPMI/KVM remote access and 24/7 technical support.
The NVIDIA H200 with 141 GB HBM3e memory offers the highest VRAM capacity available. It can run 70B+ parameter LLM models at full precision (FP16/BF16) and delivers industry-leading inference throughput with the Hopper architecture.
Yes, we offer multi-GPU configurations on a custom quote basis. Contact us for 2x or 4x GPU setups for large-scale training projects.
Standard GPU dedicated server configurations are delivered within 24-72 hours of order confirmation. Custom hardware may require additional time.
What is a GPU Dedicated Server?
A GPU dedicated server is a specialized server solution that adds a full NVIDIA or AMD GPU card to physical server hardware. Unlike the shared GPU model, the entire VRAM, CUDA cores and compute power of the GPU card are exclusively allocated to you. This full isolation is critical for large-scale AI model training, high-VRAM LLM inference, professional 3D rendering and HPC workloads.
DoğruHost GPU dedicated server plans are built on a 16-core / 32-thread Intel Xeon processor and 128 GB ECC RAM physical server base, with options including NVIDIA Tesla P4, Tesla T4, A2, RTX 4000 Ada, RTX 5000 Ada, RTX 6000 Ada and H200 GPU cards. We don't split the GPU — the entire card runs on a physical server dedicated to you.
GPU dedicated server rental is preferred for large language model (LLM) training and fine-tuning, very large model inference (70B+ parameters), distributed training requiring multi-GPU, professional film/advertising rendering and enterprise AI infrastructure.
Our top-tier plan featuring the NVIDIA H200 with 141 GB HBM3e memory allows you to run even the largest and most complex AI models on a single GPU. The H200's massive HBM3e memory can load 70B+ parameter models at full precision and delivers industry-leading bandwidth for low-latency inference.
Full GPU (Dedicated) vs Shared GPU Comparison
In the GPU server rental world, there are two fundamental models: full GPU (dedicated) and shared GPU. In the full GPU model, the entire physical GPU card runs on a server exclusively for you. In the shared GPU model, a GPU card is partitioned among multiple users using NVIDIA vGPU or MIG technology.
For small-to-medium scale inference, prototyping and development environments, shared GPU (GPU VDS) is a cost-effective solution. However, for large model training, high-VRAM applications, 24/7 high-utilization inference services and enterprise projects requiring full hardware control, GPU dedicated server is essential.
| Feature | Full GPU (Dedicated) | Shared GPU (VDS) |
|---|---|---|
| GPU Access | Full card — all VRAM and cores | Partitioned — allocated VRAM share |
| VRAM Capacity | 8 GB – 141 GB (per card) | 1 GB – 16 GB (share) |
| Performance Consistency | Maximum and predictable | Good, but depends on sharing |
| Ideal Use | Large model training, high-VRAM inference, HPC | Small inference, prototyping, development |
| Hardware Control | Full (IPMI/KVM, BIOS, driver) | Limited (virtual layer) |
| Pricing | Premium tier | Affordable |
Related Services
GPU VDS
Shared NVIDIA GPU-powered VDS servers. Cost-effective solution for small-to-medium AI/ML projects and prototyping.
Dedicated Server
Physical server solutions without GPU. Enterprise hardware for general-purpose web, database and application servers.
VDS Server
General-purpose VDS server plans. Dedicated-resource virtual servers for projects that don't require GPU.
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
Take Your AI Projects to the Peak with Full GPU Power
Realize large-scale AI model training, inference and HPC projects with the full power of NVIDIA Tesla, RTX Ada and H200 GPU cards. Rent a GPU dedicated server starting from ₺12/mo.
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