NVIDIA GPU Dedicated Servers
Deploy high-performance GPU dedicated servers for AI training, machine learning, deep learning, 3D rendering, CUDA workloads, scientific computing, data processing and GPU-accelerated applications.
Choose dedicated NVIDIA GPU hardware with fast NVMe storage, high-speed networking, full server control and flexible configurations for demanding compute workloads.
GPU Dedicated Server Plans
Compare current hardware, location, network and monthly pricing. Availability and order links follow the live server feed.
*Estimated after payment verification, subject to stock and configuration; provisioning time is not guaranteed.
Available GPU Dedicated Servers — Hardware and Prices
Compare server hardware, location, stock and pricing. Details come from the same inventory feed as the live listing. Availability, optional configurations and prices must be confirmed at checkout.
| Processor / GPU | Location / Type | Memory | Storage | Network | Price / month | Order |
|---|---|---|---|---|---|---|
| AMD Ryzen 5950X GPU: RTX 4090 | MoscowGPU | 64GB DDR4 | 2TB NVMe SSD | 1 Gbps (30TB Traffic) | $297.54/mo*Lowest price | Configure |
| Ryzen 5950X GPU: RTX A4000 | AmsterdamGPU | 128GB DDR4 | 1TB NVMe SSD | 1 Gbps / Unlimited | $444/mo* | Configure |
| Ryzen 5950X GPU: RTX 3090 | AmsterdamGPU | 128GB DDR4 | 1TB NVMe SSD | 1 Gbps / Unlimited | $450/mo* | Configure |
| Intel i9 9900K GPU: RTX A5000 | AmsterdamGPU | 64GB DDR4 | 1TB NVMe SSD | 1 Gbps / Unlimited | $467/mo* | Configure |
| AMD Ryzen 9 9900X GPU: Nvidia GeForce RTX 5070 Ti-16G | AmsterdamGPU | 64GB | 2x 960GB NVMe SSD | 1 Gbps / 100TB | $553/mo* | Configure |
| AMD RYZEN 7950X3D GPU: RTX 4090 | New YorkGPU | 192GB | 2 x 4TB NVMe | 1 Gbps Unlimited | $765/mo* | Configure |
| 2x Intel Xeon Silver 4208 GPU: Gigabyte GeForce RTX 2080 TI-11G | AmsterdamGPU | 1024GB | Max 2x NVMe, 8x SATA | 1 Gbps / 50TB | $799/mo* | Configure |
7 of 7 matching configurations shown. No currency conversion is applied; prices appear exactly as provided by Dotzo's feed.
Need Help Choosing a GPU Dedicated Server?
Share your GPU model, framework, workload, memory, storage and network requirements. Our team can help you compare currently available GPU configurations.
GPU Dedicated Servers for High-Performance Computing
Deploy dedicated NVIDIA GPU infrastructure for AI, machine learning, deep learning, rendering, scientific computing and other GPU-accelerated workloads.
Dotzo GPU Dedicated Servers are part of our dedicated server hosting range and are designed for businesses, developers, researchers and creative teams that need significantly more parallel processing capability than traditional CPU-only servers.
Choose from available NVIDIA GPU configurations combined with enterprise CPUs, DDR4 or DDR5 memory, NVMe or SSD storage, and high-speed 1Gbps or 10Gbps network connectivity. For bandwidth-intensive deployments, compare our 10Gbps unmetered dedicated servers.
Full administrative access gives you the flexibility to install compatible NVIDIA drivers, CUDA libraries, AI frameworks, containers, development environments and project-specific applications. For driver, toolkit and CUDA compatibility information, refer to the official NVIDIA CUDA Toolkit resources.
Location & test
| GPU server locations | Russia (Moscow) · Netherlands · USA (New York) |
| Netherlands test IP | 103.136.42.38 |
| Server type | Bare metal + GPU |
| Access | Full Admin / Root |
Features Included with GPU Dedicated Servers
Build GPU-accelerated infrastructure with dedicated compute resources, fast storage, high-speed networking and flexible server management.
AI & Deep Learning Ready
Run machine-learning training, neural networks, inference and compatible AI frameworks on dedicated GPU hardware.
GPU-accelerated computeMassive Parallel Processing
Use supported NVIDIA GPU parallel-processing capabilities for compute-heavy workloads that benefit from GPU acceleration.
Parallel workloadsSingle & Multi-GPU Configurations
Select available single-GPU or multi-GPU systems when workloads require more GPU memory, compute throughput or parallel capacity.
Flexible GPU configurationsNVMe & Enterprise Storage
Pair GPU compute with fast NVMe SSD, SSD or enterprise storage for datasets, model checkpoints, rendering assets and large files.
High-speed data accessHigh-Speed Network Connectivity
Use available 1Gbps or 10Gbps network options for transferring large datasets, model files, media assets and workload outputs.
Data-intensive networkingRemote Server Management
Manage your GPU server remotely with administrative access and available remote-management tools for the selected configuration.
Full server controlBest Use Cases for GPU Dedicated Servers
Dedicated GPUs are designed for workloads that benefit from accelerated compute and parallel processing.
AI & Machine Learning
Train models, run inference, process datasets and operate compatible machine-learning pipelines on dedicated GPU resources.
3D Rendering & Visualization
Accelerate rendering, animation and visualization workloads with dedicated graphics compute.
Video Processing
Support compatible video encoding, transcoding, processing and media-generation workloads with GPU acceleration. For media-delivery workloads, also review our streaming dedicated servers.
Scientific Computing
Run compatible simulations, numerical workloads and research applications that use parallel GPU resources.
Data Analytics
Process large datasets and GPU-compatible analytics workloads where parallel compute can reduce processing time.
GPU Development
Build dedicated development and testing environments for CUDA, containers, frameworks and GPU-enabled applications.
GPU Dedicated Server Technical Specifications
Exact hardware depends on the live GPU inventory and the configuration you select. Review the inventory above for CPU, GPU, memory, storage and port details of each server.
| CPU | Intel Xeon / AMD EPYC / AMD Ryzen by plan |
| GPU | NVIDIA GPU options according to live inventory |
| RAM | DDR4 / DDR5 / ECC by configuration |
| Storage | NVMe / SSD / HDD, depending on plan |
| Network | 1Gbps / 10Gbps options where available |
| Protection | DDoS protection and remote server management |
Run Your GPU Server on the OS You Trust
Install a compatible operating system and GPU software stack based on your selected NVIDIA hardware and application requirements.
Control Panels & Optional Add-ons
Choose optional control panels, operating-system licenses and server add-ons during checkout.
License Add-ons
- cPanel/WHM Metal Server — up to 100 accounts$44.99/mo
- cPanel/WHM Metal Server — up to 250 accounts$52.99/mo
- DirectAdmin Standard$32.99/mo
- Plesk Web Admin Metal — 10 domains$9.99/mo
- Plesk Web Pro — 30 domains$13.99/mo
Additional Add-ons
- 1 IPv4 Address$2.99/mo
- 1 CPU LiteSpeed Web Server$38.99/mo
- 2 CPU LiteSpeed Web Server$48.99/mo
- 4 CPU LiteSpeed Web Server$66.99/mo
- 8 CPU LiteSpeed Web Server$88.99/mo
- Nginx Web Server with cPanel$69.99/mo
OS Add-ons
- CloudLinux$16.99/mo
- Windows Server 2019 Standard$19.99/mo
- Windows Server 2022 Standard$19.99/mo
Independent Reviews
Review independent hosting feedback alongside current GPU server specifications and availability.
Hosting Feedback
Compare recent customer experiences, service feedback and hosting information before choosing a configuration.
Customer Feedback
Use current customer feedback together with location, hardware, network and support requirements when evaluating a server. See our Google Reviews for recent customer experiences.
Reliable Infrastructure & Technical Support
Keep GPU workloads running with redundant infrastructure, remote server access and 24/7 technical assistance.
99.9% Network Uptime
Redundant power and network design supports high availability. Review the applicable terms in our Service Level Agreement.
24/7 Technical Support
Get help through available support channels when server issues arise.
Quick Provisioning
Deployment time depends on GPU inventory and requested configuration.
Remote Management
Use available IPMI/KVM or control-panel tools for remote server administration.
DDoS Protection
Network-level protection is available according to the selected service.
Flexible Upgrades
Contact the team to review upgrade paths based on current hardware availability.
Which GPU Server Fits Your Workload?
Every GPU currently listed above, with its video memory (VRAM) and a rule-of-thumb starting point. More VRAM generally allows larger models and batch sizes.
| GPU | VRAM | Server CPU | Memory | Storage | Location | From | Typical fit |
|---|---|---|---|---|---|---|---|
| RTX 4090 | 24 GB | AMD Ryzen 5950X | 64GB DDR4 | 2TB NVMe SSD | Moscow | $297.54/mo | Larger models, fine-tuning, heavy rendering |
| RTX A4000 | 16 GB | Ryzen 5950X | 128GB DDR4 | 1TB NVMe SSD | Amsterdam | $444/mo | Inference, image generation, mid-size model work |
| RTX 3090 | 24 GB | Ryzen 5950X | 128GB DDR4 | 1TB NVMe SSD | Amsterdam | $450/mo | Larger models, fine-tuning, heavy rendering |
| RTX A5000 | 24 GB | Intel i9 9900K | 64GB DDR4 | 1TB NVMe SSD | Amsterdam | $467/mo | Larger models, fine-tuning, heavy rendering |
| Nvidia GeForce RTX 5070 Ti-16G | 16 GB | AMD Ryzen 9 9900X | 64GB | 2x 960GB NVMe SSD | Amsterdam | $553/mo | Inference, image generation, mid-size model work |
| RTX 4090 | 24 GB | AMD RYZEN 7950X3D | 192GB | 2 x 4TB NVMe | New York | $765/mo | Larger models, fine-tuning, heavy rendering |
| Gigabyte GeForce RTX 2080 TI-11G | 11 GB | 2x Intel Xeon Silver 4208 | 1024GB | Max 2x NVMe, 8x SATA | Amsterdam | $799/mo | Entry ML experiments, rendering, video encoding |
VRAM figures are the manufacturer's published specifications for each GPU model. Stock, exact configuration and price are confirmed at checkout.
GPU Dedicated Server vs Standard VPS
Standard Linux VPS plans on this site do not include a GPU; choose a GPU server when your workload needs one.
| Feature | Standard Linux VPS | GPU Dedicated Server |
|---|---|---|
| GPU access | None on standard plans | A dedicated GPU for your workload |
| Resources | Allocated vCPU, RAM and disk | The entire physical server |
| Root / admin access | Yes | Yes |
| Starting price | From $3.99/mo | From $297.54/mo |
| Best for | Websites, apps, bots, general workloads | AI / ML, rendering, video processing, GPU compute |
Looking for a general-purpose server? See Linux VPS or all dedicated servers.
Frequently Asked Questions About GPU Dedicated Servers
Common questions about GPU hosting, CUDA workloads, deployment, server access and hardware options.
GPU workloads & hardware
What is a GPU dedicated server?
A GPU dedicated server is a physical server with dedicated GPU hardware in addition to CPU, RAM, storage and network resources. It is designed for workloads that benefit from GPU acceleration and parallel processing.
What workloads are suitable for GPU servers?
Common workloads include AI and machine learning, deep learning, CUDA applications, model training, rendering, video processing, scientific computing, simulations and GPU-compatible analytics.
Can I use CUDA on the GPU server?
CUDA compatibility depends on the selected NVIDIA GPU, operating system, driver version and software stack. Confirm your required CUDA and framework versions before ordering.
Are multi-GPU configurations available?
Multi-GPU availability depends on current GPU inventory and server platform. Review the live pricing inventory or contact the team for available configurations.
How should I confirm CUDA and driver compatibility?
Check the exact GPU model, NVIDIA driver, CUDA toolkit, framework version and operating-system compatibility before purchase.
Access, location & deployment
Do I get root or administrator access?
Dedicated-server customers receive administrative access appropriate to the selected operating system so they can install compatible drivers, frameworks, libraries and applications.
Where are the GPU servers located?
GPU servers on this page are listed in Russia (Moscow), the Netherlands and the USA (New York); the inventory table shows the location of each server. A network test IP for the Netherlands location is 103.136.42.38. Availability can vary by GPU model and server configuration.
How quickly is a GPU server deployed?
Deployment depends on GPU inventory, hardware configuration, operating system and the active order queue. Contact support if you require a specific deployment window.
Which operating systems can I use?
Compatible Linux and Windows options depend on the selected GPU, drivers and server configuration. Verify your required operating system and GPU software stack before ordering.
How long does it take to set up a GPU dedicated server?
Estimated standard setup is 1–12 working hours after payment verification, subject to available GPU hardware, driver setup and custom requirements.