Best NVIDIA Graphics Card, Rent Multi-GPU Server Solutions for AI and Computing
Explore our range of NVIDIA GPU servers designed for high-performance computing, AI, and deep learning. Discover the best GPU server solutions tailored to your needs.
- 25+ Card Modules of Nvidia GPU Server
- Best GPU Servers with Dedicated Nvidia GPU
- 24/7 Nvidia GPU Expert Support
- 7+ Years of HPC & GPU Hosting Experience
- 25K NVIDIA GPU Servers Delivered Worldwide
25+ NVIDIA GPU Servers & VPS Available
Explore our extensive NVIDIA GPU server price & lineup, including GeForce, RTX, Quadro, and Data Center/Tesla, BlackWell cards.
Express GPU VPS - GT730|K620
- 16GB RAM
- 8 CPU Cores
- 120GB SSD
- 100Mbps Unmetered Bandwidth
- Once per 4 Weeks Backup
- OS: Windows / Linux
- Dedicated GPU: GeForce GT730
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.692 TFLOPS
Basic GPU Dedicated Server - GTX 1650
- 64GB RAM
- GPU: Nvidia GeForce GTX 1650
- Eight-Core Xeon E5-2667v3
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 4GB GDDR5
- FP32 Performance: 3.0 TFLOPS
Basic GPU Dedicated Server - GTX 1660
- 64GB RAM
- GPU: Nvidia GeForce GTX 1660
- Dual 8-Core Xeon E5-2660
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Turing
- CUDA Cores: 1408
- GPU Memory: 6GB GDDR6
- FP32 Performance: 5.0 TFLOPS
Basic GPU Dedicated Server - RTX 4060
- 64GB RAM
- GPU: Nvidia GeForce RTX 4060
- Eight-Core E5-2690
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ada Lovelace
- CUDA Cores: 3072
- Tensor Cores: 96
- GPU Memory: 8GB GDDR6
- FP32 Performance: 15.11 TFLOPS
Basic GPU Dedicated Server - RTX 5060
- 64GB RAM
- GPU: Nvidia GeForce RTX 5060
- 24-Core Platinum 8160
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 4608
- Tensor Cores: 144
- GPU Memory: 8GB GDDR7
- FP32 Performance: 23.22 TFLOPS
Professional GPU Dedicated Server - RTX 2060
- 128GB RAM
- GPU: Nvidia GeForce RTX 2060
- Dual 8-Core E5-2660
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 1920
- Tensor Cores: 240
- GPU Memory: 6GB GDDR6
- FP32 Performance: 6.5 TFLOPS
Advanced GPU Dedicated Server - RTX 3060 Ti
- 128GB RAM
- GPU: GeForce RTX 3060 Ti
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Basic GPU VPS - RTX 5060
- 28GB RAM
- 16 CPU Cores
- 240GB SSD
- 200Mbps Unmetered Bandwidth
- Once per 4 Weeks Backup
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 5060
- CUDA Cores: 4,608
- Tensor Cores: 144
- GPU Memory: 8GB GDDR7
- FP32 Performance: 23.22 TFLOPS
Advanced GPU VPS - RTX 5090
- 90GB RAM
- 32 CPU Cores
- 400GB SSD
- 500Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Windows / Linux
- Dedicated GPU: GeForce RTX 5090
- CUDA Cores: 21,760
- Tensor Cores: 680
- GPU Memory: 32GB GDDR7
- FP32 Performance: 109.7 TFLOPS
Enterprise GPU Dedicated Server - RTX 4090
- 256GB RAM
- GPU: GeForce RTX 4090
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
Multi-GPU Dedicated Server- 2xRTX 4090
- 256GB RAM
- GPU: 2 x GeForce RTX 4090
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
Multi-GPU Dedicated Server- 2xRTX 5090
- 256GB RAM
- GPU: 2 x GeForce RTX 5090
- Dual E5-2699v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 21,760
- Tensor Cores: 680
- GPU Memory: 32 GB GDDR7
- FP32 Performance: 109.7 TFLOPS
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Express GPU Dedicated Server - P1000
- 32GB RAM
- GPU: Nvidia Quadro P1000
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Pascal
- CUDA Cores: 640
- GPU Memory: 4GB GDDR5
- FP32 Performance: 1.894 TFLOPS
Basic GPU Dedicated Server - T1000
- 64GB RAM
- GPU: Nvidia Quadro T1000
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 8GB GDDR6
- FP32 Performance: 2.5 TFLOPS
Available Nvidia Graphics Cards
Explore high-performance Nvidia graphics cards designed for AI, deep learning, rendering, and high-performance computing workloads.
GeForce GPU Server
NVIDIA GeForce GPU servers are designed for high performance, real-time graphics, and versatile workloads.
Professional GPU Server (RTX A / Quadro)
NVIDIA professional GPU servers are designed for stability, precision, and continuous workloads.
Data Center GPU Server (Tesla / NVIDIA A Series)
NVIDIA data center GPU servers are built for large-scale computing, delivering maximum acceleration for AI and HPC workloads.
Find the Right NVIDIA GPU Server for Your Workload
Quickly find the Nvidia GPU server that fits your needs, and contact us for personalized assistance and detailed recommendations.
| Use Case | Recommended GPU Plan | Best For | Why Choose |
|---|---|---|---|
| Budget & Entry-Level |
GT730 VPS
K620
|
Basic computing, testing, lightweight apps | Lowest cost, fast deployment, ideal for simple workloads |
| Development & Small AI |
GTX 1650
GTX 1660
|
Prototyping, small AI models, dev environments | Affordable with solid performance for early-stage projects |
| AI Inference & Rendering |
RTX 2060
RTX 3060 Ti
RTX 4060
|
AI inference, rendering, content creation | Balanced performance with AI acceleration |
| Advanced AI & Professional |
RTX 5060
RTX 5060 VPS
RTX A4000
RTX A5000
RTX Pro 2000
|
AI development, 3D design, simulation | High performance with improved stability for production workloads |
| Enterprise AI & Large Models |
RTX A6000
RTX Pro 4000
RTX Pro 5000
A100
A100 80GB
|
Large AI models, deep learning, data science | High memory and compute for demanding workloads |
| HPC & Multi-GPU |
K80
P100
V100
3×RTX A5000
3×V100
4×A100
|
Scientific computing, distributed training, large-scale processing | Scalable parallel computing for intensive workloads |
FAQs of Nvidia GPU Server Hosting
Find clear answers about NVIDIA GPU server hosting.
We offer server hosting services featuring Nvidia graphics cards, including Nvidia virtual PCs and Nvidia servers. Opting for our complete server hosting services rather than purchasing individual GPUs can significantly reduce your hardware budget.
We currently offer over 40+ Nvidia GPU server plans and 25+ Nvidia GPU models, and we are continuously expanding our selection to include more GPU series and brands.
When choosing a GPU instance, you should consider factors such as the type and complexity of the applications you will be running, the amount of memory and storage you need, and the level of support and customization you require. Additionally, the Nvidia virtual PC/VPS will bring lower performance than a Nvidia server.
No, our GPU resources on the Nvidia virtual compute server are not shared. Each VPS comes with a dedicated GPU card, ensuring that you have access to the full power and resources of the GPU without any sharing or contention. This setup allows you to maximize the performance of your applications and tasks that require GPU acceleration.
While we do not offer customized GPU servers by default, we provide 40+ GPU server plans to accommodate various requirements. You'll likely find one that suits your needs. Additionally, many of our servers allow for customization options such as adding extra disk space, CPU, memory, and GPU cards. For more details, please contact us via an email.
You can remotely access our Nvidia GPU server or Nvidia virtual PC from any local device, such as a mobile phone, laptop, or iPad, simply utilize Remote Desktop or SSH (Secure Shell). This allows for seamless and efficient connectivity, enabling you to leverage the computing power of our resources with ease.
Our NVIDIA GPU servers offer massive parallel computing power, making them ideal as a GPU server for AI, deep learning, 3D rendering, and scientific simulations. They can accelerate tasks much faster than CPU-only servers, providing efficient performance for AI workloads.
Our Nvidia GPU VPS offers a virtualized server with a dedicated GPU, while a dedicated GPU server provides exclusive CPU, RAM, storage, and GPU resources for maximum performance.
Our NVIDIA GPU servers support multiple architectures suitable as a GPU server for AI, including BlackWell (RTX 5060, 5090, Pro 6000), Ampere (A100, RTX 30 Series), Hopper (H100), Turing (RTX 20 Series, Quadro), and older architectures like Pascal and Volta. This ensures full compatibility for AI training, deep learning, HPC, and professional applications.
Yes, we provide GPU rack servers optimized for high-performance computing, AI training, deep learning, and large-scale GPU workloads. These servers can be configured with multiple NVIDIA GPUs, including A100 and H100, delivering maximum compute power for enterprise, HPC, and multi-GPU applications. For custom configurations, please contact us to tailor your GPU rack server.
Deploy Your Nvidia GPU Server Now
Accelerate your AI and deep learning projects with our high-performance NVIDIA GPU servers – ready to deploy, try, or customize.















