GPU Server Solutions

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
NVIDIA GPU Server Ready 25K+ GPUs Deployed 24/7 Expert Support
Full Lineup

25+ NVIDIA GPU Servers & VPS Available

Explore our extensive NVIDIA GPU server price & lineup, including GeForce, RTX, Quadro, and Data Center/Tesla, BlackWell cards.

GeForce GPUs
NVIDIA GeForce GPU
Quadro GPU
NVIDIA RTX/Quadro GPU
Tesla GPU
Data Center/Tesla GPU

Express GPU VPS - GT730|K620

17.98/mo
38% OFF Recurring (Was $29.00)
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  • 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

99.00/mo
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  • Single GPU Specifications:
  • Microarchitecture: Turing
  • CUDA Cores: 896
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 3.0 TFLOPS

Basic GPU Dedicated Server - GTX 1660

71.55/mo
55% OFF Recurring (Was $159.00)
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  • Single GPU Specifications:
  • Microarchitecture: Turing
  • CUDA Cores: 1408
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 5.0 TFLOPS

Basic GPU Dedicated Server - RTX 4060

89.50/mo
50% OFF Recurring (Was $179.00)
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  • 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

113.40/mo
40% OFF Recurring (Was $189.00)
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  • 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

159.00/mo
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  • 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

107.55/mo
55% OFF Recurring (Was $239.00)
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  • 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

85.00/mo
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  • 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

399.00/mo
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  • 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

409.00/mo
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  • 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

729.00/mo
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  • 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

859.00/mo
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  • 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
  • .

Express GPU Dedicated Server - P1000

64.00/mo
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  • 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

99.00/mo
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  • 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
Card Catalog

Available Nvidia Graphics Cards

Explore high-performance Nvidia graphics cards designed for AI, deep learning, rendering, and high-performance computing workloads.

NVIDIA GeForce GPUs

If you're looking for a cost-effective option for gaming, streaming, or AI, GeForce GPUs are a solid starting point. They're well-suited for individuals, developers, or small teams running lighter workloads or experimenting with models without a large upfront investment.

NVIDIA RTX A / Quadro

If your work involves professional tasks like AI development, 3D design, or content creation, RTX and Quadro GPUs are a better fit. They offer more stability and optimized performance, making them ideal for users who need reliable results for daily production work.

NVIDIA Tesla / NVIDIA A Series

If you're handling large-scale AI training, deep learning, or complex simulations, this is the right choice. These GPUs are designed for businesses, research teams, and enterprise applications that require high performance, scalability, and continuous workloads.

3 Series

GeForce GPU Server

NVIDIA GeForce GPU servers are designed for high performance, real-time graphics, and versatile workloads.

NVIDIA GeForce
Main Use Cases
Gaming · Graphics Rendering · AI Training · High-Performance Computing for individuals / small to medium businesses
Key Technologies
DirectX · Vulkan · CUDA Ray Tracing DLSS
GT
Entry
GTX
Mid-Range
RTX
High-End

GeForce GT Series

Entry

Entry-level GPUs for basic computing, multimedia, and light workloads, offering a cost-effective choice for simple applications.

GeForce GTX Series

Mid-Range

Mid-range GPUs for gaming, rendering, and content creation, delivering reliable performance for moderate AI workloads and professional graphics tasks.

GeForce RTX Series

High-End

High-performance GPUs with ray tracing and AI acceleration, ideal for advanced AI, 3D rendering, and high-end computing workloads.

5 Series

Professional GPU Server (RTX A / Quadro)

NVIDIA professional GPU servers are designed for stability, precision, and continuous workloads.

Entry

Quadro NVS Series

Low-power GPUs for multi-display business environments like trading floors and control centers.

Entry / Mid-Range

Quadro K Series

Professional GPUs with certified drivers for Autodesk and Adobe, ideal for CAD, CAM, and content creation.

Mid-Range

Quadro M Series

Mobile workstation GPUs for engineers and creators needing reliable on-the-go performance.

High-End

Quadro P Series

Pascal-based GPUs for advanced visualization, rendering, simulation, and streaming.

High-End

NVIDIA RTX A Series

Next-gen GPUs with ray tracing and AI acceleration for 3D visualization, deep learning, and data science.

NVIDIA Professional
Main Use Cases
CAD / Film / 3D Design · Professional Visualization · Multi-Monitor Applications
Key Technologies
DirectX · Vulkan · OpenGL CUDA · OpenCL Ray Tracing AI Denoising VR Ready Stable Drivers
Quadro NVS / K / M / P
NVIDIA RTX A Series
High-End
4 Series

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.

NVIDIA Data Center
Main Use Cases
AI / Deep Learning / HPC / Scientific Computing · Large-Scale Data Centers
Key Technologies
CUDA · OpenCL · TensorRT NVLink / PCIe vGPU FP64 / FP32 / INT8 Tensor Core Multi-GPU Scale
K
Entry
P
Mid-Range
V / A
High-End
Entry

Tesla K Series

Legacy data center GPUs for stable HPC and scientific computing, ideal for cost-sensitive workloads.

Mid-Range

Tesla P Series

GPUs optimized for HPC and deep learning, providing efficient acceleration for scientific simulations and AI tasks.

High-End

Tesla V Series

Data center GPUs built for deep learning and advanced visualization, delivering strong performance for enterprise AI workloads.

High-End

NVIDIA A Series

High-performance GPUs for AI, deep learning, and advanced computing, ideal for large-scale training and data processing.

Smart Matching

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
Questions

FAQs of Nvidia GPU Server Hosting

Find clear answers about NVIDIA GPU server hosting.

Are you selling Nvidia graphics cards or Nvidia servers?

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.

How many kinds of Nvidia GPU servers do you provide?

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.

How do I choose the right GPU instance for my needs?

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.

Is your GPU shared on the Nvidia VPS?

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.

Can I customize your server Nvidia GPU?

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.

How to access your GPU server?

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.

Why use a GPU server instead of CPU servers?

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.

What is the difference between a GPU VPS and a dedicated GPU server?

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.

Which NVIDIA GPU architectures are supported on your servers?

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.

Do you support GPU rack servers?

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.