VPS Hosting Big Deals

Up to 50% Off VPS Hosting for New Users

Dedicated GPU Hosting Server
with Tech Support

A Graphics Processing Unit (GPU) is a single-chip processor primarily used to manage and boost the performance of video and graphics. Our GPU dedicated servers deliver high performance for Artificial Intelligence, gaming, and machine learning, etc. Learn More

24/7/365 Support
Full Root Access

Choose Your GPU Server Plan

Lite GPU Server

Good choice for graphic interface, gaming, video, etc.

Starting at

$45.00

/month

  • 16 GB RAM
  • 4 Cores Xeon X3440
  • 120GB SSD + 960GB SSD
  • 100Mbps Unmetered Bandwidth
  • Full Root Access
  • 2 Dedicated IPs
  • GPU : Nvidia GeForce GT 710
  • CUDA Cores: 192
  • GPU Memory: 1GB
  • Performance: 1.06 TFLOPS
  • Monthly: $49.00/m
  • Semi-Annually: $48.00/m
  • Annually: $47.00/m
  • Biennially: $45.00/m

Express GPU Server

Good choice for graphic interface, gaming, video, etc.

Starting at

$59.00

/month

  • 32 GB RAM
  • 4 Cores Xeon E5-2643
  • 120GB SSD + 960GB SSD
  • 100Mbps Unmetered Bandwidth
  • Full Root Access
  • 2 Dedicated IPs
  • GPU: Nvidia Quadro P620 or P1000
  • CUDA Cores: 512
  • GPU Memory: 2GB or 4GB
  • Performance: 1.5 TFLOPS
  • Monthly: $69.00/m
  • Semi-Annually: $67.00/m
  • Annually: $64.00/m
  • Biennially: $59.00/m

Basic GPU Server

Good choice for AI, machine learning, etc.

Starting at

$109.00

/month

  • 64 GB RAM
  • 8 Cores Xeon E5-2670
  • 120GB SSD + 960GB SSD
  • 100Mbps Unmetered Bandwidth
  • Full Root Access
  • 2 Dedicated IPs
  • GPU : Nvidia Tesla K40
  • CUDA Cores: 2880
  • GPU Memory: 12GB
  • Performance: 1.894 TFLOPS
  • Monthly: $129.00/m
  • Semi-Annually: $124.00/m
  • Annually: $119.00/m
  • Biennially: $109.00/m

Professional GPU Server

Good choice for AI, machine learning, etc.

Starting at

$159.00

/month

  • 128 GB RAM
  • 8 Cores Xeon E5- 2689
  • 120GB SSD + 960GB SSD
  • 100Mbps Unmetered Bandwidth
  • Full Root Access
  • 2 Dedicated IPs
  • GPU : Nvidia Tesla K80
  • CUDA Cores: 4992
  • GPU Memory: 24GB
  • Performance: 8.73 TFLOPS
  • Monthly: $199.00/m
  • Semi-Annually: $189.00/m
  • Annually: $179.00/m
  • Biennially: $159.00/m
Hot Sale

Advanced GPU Server

New on September: 19.2 TFLOPS High-Performance GPU Card.

Starting at

$225.00

/month

  • 128 GB RAM
  • 2x12-Core E5-2697v2 CPU
  • 120GB SSD + 2TB SSD
  • 100Mbps Unmetered Bandwidth
  • Full Root Access
  • 2 Dedicated IPs
  • GPU : Nvidia RTX A4000
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB
  • Performance: 19.2 TFLOPS
  • Monthly: $299.00/m
  • Semi-Annually: $281.00/m
  • Annually: $262.00/m
  • Biennially: $225.00/m

Multiple GPU Models to Choose from

Nvidia RTX A4000

NVIDIA RTX™ A4000 is the most powerful single-socket GPU used by professionals, providing real-time ray tracing, AI-accelerated computing and high-performance graphics for your desktop. Design a new generation of products, design future urban landscapes, and create an immersive entertainment experience through a solution suitable for multiple systems, allowing you to work without restrictions.
Device Type
Graphics Cards
GPU Model
Nvidia RTX A4000
Graphics Ram
GDDR6
Graphics Card Interface
PCI-E
Hardware Interface
PCIE x 16
Graphics Coprocessor
Nvidia RTX
Item Dimensions
4.4H x 9.5L, Single Slot
CUDA Cores
6144
Graphics Ram Size
16 GB
GPU Processing Power
8776
Memory Bus Width
256-bit
Memory Clock Speed
14000 MHz

Nvidia GeForce GT 710

Being a single-slot card, the NVIDIA GeForce GT 710 does not require any additional power connector, its power draw is rated at 19 W maximum. Display outputs include: 1x DVI, 1x HDMI, 1x VGA. GeForce GT 710 is connected to the rest of the system using a PCI-Express 2.0 x8 interface. The card measures 145 mm in length, and features a single-slot cooling solution.
Device Type
Graphics Cards
GPU Model
Nvidia GeForce GT 710
Graphics Ram
DDR3 SDRAM
Graphics Card Interface
PCI-E
Hardware Interface
PCIE x 8
Graphics Coprocessor
Nvidia GeForce
Item Dimensions
11 x 6.25 x 2.5 inches
CUDA Cores
192
Graphics Ram Size
1 GB
GPU Processing Power
366
Memory Bus Width
64.0 bits
Memory Clock Speed
1600 MHz

Nvidia Quadro P620

The NVIDIA® Quadro® P620 combines a 512 CUDA core NVIDIA Quadro Pascal GPU, large on-board memory and advanced display technologies to deliver amazing performance for a range of professional workflows. 2GB of ultra-fast GPU memory enables the creation of complex 2D and 3D models and a flexible single-slot, low-profile form factor makes it compatible with even the most space and power-constrained chassis. Support for four 4K displays (4096 x 2160 at 60Hz) with HDR color gives you an expansive visual workspace to view your creations in stunning detail.
Device Type
Graphics Cards
GPU Model
Nvidia Quadro P620
Graphics Ram
GDDR5
Graphics Card Interface
PCI-E
Hardware Interface
PCIE x 8
Graphics Coprocessor
Nvidia Quadro
Item Dimensions
14 x 7.5 x 6 inches
CUDA Cores
512
Graphics Ram Size
2 GB
GPU Processing Power
1490
Memory Bus Width
128-bit
Memory Clock Speed
4012 MHz

Nvidia Tesla K40

Equipped with big memory, the Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets. It outperforms CPUs by up to 10x and includes a Tesla GPUBoost feature that enables power headroom to be converted into user controlled performance boost.
Device Type
Graphics Cards
GPU Model
Nvidia Tesla K40
Graphics Ram
GDDR5
Graphics Card Interface
PCI-E
Hardware Interface
PCIE x 10
Graphics Coprocessor
Nvidia Tesla
Item Dimensions
0.03 x 10.5 x 4.4 inches
CUDA Cores
2880
Graphics Ram Size
12 GB
GPU Processing Power
5040
Memory Bus Width
384-bit
Memory Clock Speed
6000 MHz

Nvidia Tesla K80

The NVIDIA® Tesla® K80 Accelerator dramatically lowers data center costs by delivering exceptional performance with fewer, more powerful servers. It's engineered to boost throughput in real-world applications by 5-10x, while also saving customers up to 50% for an accelerated data center compared to a CPU-only system. This increased throughput means more scientific discoveries delivered to researchers every day, or better user engagement for web services.
Device Type
Graphics Cards
GPU Model
Nvidia Tesla K80
Graphics Ram
GDDR5
Graphics Card Interface
PCI-E
Hardware Interface
PCIE x 10
Graphics Coprocessor
Nvidia Tesla
Item Dimensions
17.6 x 7.8 x 4.2 inches
CUDA Cores
4992
Graphics Ram Size
24 GB
GPU Processing Power
8776
Memory Bus Width
2 X 384-bit
Memory Clock Speed
5000 MHz

Powerful GPU Platform Features

At VPS Mart, we’ve never been comfortable fitting in with the crowd. Here are a few ways our GPU offering stands apart: 24/7 free tech support, an intuitive panel, scalable RAM, unlimited bandwidth, and SSD storage. Plans start at $45/m.

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SSD-Based Drives

SSD-Based Drives

You can never go wrong with our own top-notch dedicated servers, loaded with the latest Intel Xeon processors, terabytes of SSD disk space and 128 GB of RAM per server.

Dedicated IP

Dedicated IP

One of many premium features is a dedicated IP address. Even the cheapest VPS hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.

Full Root Access

Full Root Access

With full root access, you will be able to take full control of your server very easily and quickly. To use all the power provided effectively, you will have to have very little technical knowledge.

Control Panel

Control Panel

VPS-Mart provides KVM over IP (IPMI) for all dedicated server, including the GPU server. The Intelligent Platform Management Interface (IPMI) system provides management and monitoring capabilities independently of the host system's CPU, firmware and operating system.

IPv6 & IPv4

IPv6 & IPv4

Besides IPv4 addresses, we also offer IPv6 addresses. IPv6 will give the Internet a much larger pool of IP addresses. It provides a range of benefits for security, integrity, and performance.

99.9% Uptime Guarantee

99.9% Uptime Guarantee

With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for our servers and network.

Massive Free Services for GPU Server Hosting

Free GPU Management Service and Control Panels help the operators saving time, space, and money when using a physical server.

Remote Desktop Access (RDP)

Administrator Permission

Server Manual Reboot

Hardware Replacement

Operating System

Database

DNS Service

Control Panel

Optional Initial Installed Frameworks

Ubuntu (pronounced oo-BOON-too) is an open source Debian-based Linux distribution. Sponsored by Canonical Ltd., Ubuntu is considered a good distribution for beginners. The operating system was intended primarily for personal computers (PCs) but it can also be used on servers.
It is an open-source artificial intelligence library, using data flow graphs to build models. It allows developers to create large-scale neural networks with many layers. TensorFlow is mainly used for: Classification, Perception, Understanding, Discovering, Prediction and Creation.
PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds.
Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides.
NVIDIA, inventor of the GPU, which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more.
The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers.
Industry-leading container platform for rapid app/microservices development and delivery. Securely run applications from the hybrid cloud to the edge. Get started with Docker today. No Lock-in. Deploy And Manage. Easily Scale Applications. Prevent Vulnerable Images.

Our GPU Server Add-Ons

Add additional resources or services to your current servers to ensure a high level of server performance. Some software programs, such as TensorFlow and cuDNN, can also be installed to meet your unique requirements.

Memory
$40.00/month/32GB
Additional SSD Disk Space
$19/month/240GB SSD
Additional SATA
$19/month/2TB SATA
Additional Dedicated IP
$2.00/month/IP
Cisco Hardware Firewall
$99/month
Remote Data Center Backup
$30.00/month/40GB Disk
Full Management Plan(Windows Only)
$49/month
GPU Upgrade
$99/time

Every GPU Beginner Needs to Know

What is GPU Server?

A GPU server is a server packed with a GPU (graphics processing unit). GPU, also called graphics card or video card, is a specialized electronic circuit that accelerates the process of creating and rendering computer graphics, video, ect. It performs rapid mathematical calculations while freeing the CPU to perform other tasks.

GPU Server vs. GPU VPS

When renting a VPS with the GPU you have direct access to the GPUs. However, it's working on the same primary server with other VPSs. But a GPU dedicated hosting server is your own, personal computer. You can use it for anything you want with high-performance SSD drives for AI, gaming, and machine learning.

What is GPU Server?
Integrated GPU and Discrete GPU

Integrated GPU and Discrete GPU

GPUs come in two basic types. One is an integrated(or embedded) GPU that is built onto and shares memory with the CPU. The other is a discrete GPU that has its own card and memory.  Our GPU servers employ the discrete GPUs.

Discrete Graphics Processing Unit

A discrete GPU, also known as a video card, is a stand-alone processing unit that has its dedicated card and memory. You only need to insert the card into an expansion slot on the motherboard near the CPU and you can easily replace or upgrade it. It’s designed to deal with more complex graphic processing and provides higher performance than integrated GPUs. So, for more resource-intensive applications with extensive performance demands, a discrete GPU is better suited to the job. However, these GPUs add processing power at the cost of additional energy consumption and heat creation. Discrete GPUs generally require dedicated cooling for maximum performance.

Integrated Graphics Processing Unit

An integrated GPU is built onto and share memory with the CPU itself. The integration with CPUs allows GPUs deliver space, cost and energy efficiency benefits, so it’s most often used in laptops, tablets, and smartphones.

    GPU Features Include:

  • 2-D or 3-D graphics
  • Digital output to flat panel display monitors
  • Texture mapping
  • Application support for high-intensity graphics software such as AutoCAD
  • Rendering polygons
  • Support for YUV color space
  • Hardware overlays
  • MPEG decoding

GPU --- A Single-Chip Processor

GPUs can perform parallel processing at a scale. It was originally designed to manage and boost the performance of video and graphic. Over time, they are used for a broader range of applications, such as Artificial Intelligence, Machine Learning, and video editing applications.

What Are GPUs Used For?

GPUs are best suited for repetitive and highly-parallel computing tasks. Beyond video rendering, GPUs excel in machine learning, Artificial Intelligence, and many other types of scientific computations.

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GPUs for Gaming GPUs for Gaming

Rendering scenarios, such as video games, require GPUs for graphics acceleration and real-time rendering, and also require massive computing capacities, memory, and storage. With advanced display technologies, such as 4K screens and high refresh rates, along with the rise of virtual reality gaming, demands on graphics processing are growing fast. GPUs can have hundreds or thousands of small cores and are perfect for 2D and 3D calculations and rendering 3D graphics. With better graphics performance, games can be played at higher resolution, at faster frame rates, or both.

GPUs for Video Editing and Content Creation GPUs for Video Editing and Content Creation

Working with video editing, visual effects, and animation requires a high-performing PC to efficiently handle the resource-heavy tasks and avoid waiting for projects to render and encode. GPUs usually have hundreds or thousands of small cores. These highly task-parallel, specialized computing cores are perfectly used for graphics processing, making it faster and easier to render video and graphics in higher-definition formats.

GPU for Machine Learning GPU for Machine Learning

Artificial Intelligence and Machine Learning operations often require processing massive amounts of images or videos. Because GPUs incorporate an extraordinary amount of computational capability, they can deliver incredible acceleration in workloads that take advantage of the highly parallel nature of GPUs, such as image recognition.

Reliability

We use enterprise-grade brand new Supermicro servers with powerful Eight-Core Intel Xeon Processor, to guarantee high-level performance and superior hosting experience. And you are supported by our IT experts around the clock.

Scalability

If your business grows exponentially and needs to deal with high traffic spikes. Additional resources, such as SSD, SATA, and memory, can be added as you need. You can also have your plan upgraded with the help of our IT professionals.

High Availability

The dedicated servers are protected by around-the-clock monitoring, redundant power supplies and network, ensuring 99.9% uptime, guaranteed by our Service Level Agreements.

Free KVM Over IP and Remote Reboot

Every dedicated server comes with a free KVM-over-IP and remote reboot console (Supermicro IPMI). You can reboot the server and troubleshoot hardware/software issues just as you are sitting in front of the server.

Security

The 24x7 on-site technicians and locked cabinets guarantee physical security. All dedicated servers are behind the firewall to prevent Internet attacks. You can even order one additional Cisco hardware firewall for extra protection and customization. HTTPS, FTP over SSL, and SQL Server over SSL will encrypt your Internet traffic.

Administrative Access and Server Configuration

Dedicated servers give you administrative access to the machine. You can customize the server environment to meet your business operations by installing and configuring any software programs.

Why Choose Us for GPU Dedicated Server?

Get high-performance and reliable GPU dedicated servers for high-computing tasks, such as AI, ML, and gaming. You are backed by our team of GPU experts 24/7.

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Rent A GPU Server to Grow Your Business.

1

Select a plan and click order now.

2

Choose a payment method before checkout.

3

Servers will be delivered via email if you have passed our security verification.

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Recommend Friends, Get Credits

$10 will be credited to your account once you recommend a new client to purchase servers.

  • Credits will be applied to the unpaid invoice automatically.
  • As a recommender, please send an email to [email protected] (Including referral's email and name) once your referral becomes successful.
  • The billing team will verify your recommended client's information. Once approved, we will add credits to your account within 7 days.
  • Another way to get more credits

    Join Affiliate Program

    FAQs of GPU Hosting Servers

    Do you need a GPU in my server?

    If your projects require high-performance computing resources, for example AI, gaming, and machine learning, a GPU server could be an excellent solution. If you need a server for email or word processing, you don’t have to go for a GPU server.

    What can GPU Server be used for?

    GPUs are best suited for repetitive and highly-parallel computing tasks. Beyond video rendering, GPUs excel in machine learning, Artificial Intelligence, and many other types of scientific computations. If you are searching for a the dedicated server for these kinds of cases, GPU server can be a good option.

    What does a GPU server do?

    A GPU server is a server packed with GPU that is often used for machine learning, video editing, and gaming applications.

    What is the difference between a CPU and a GPU?

    A CPU commonly consists of only 4 or 8 fast and flexible cores that are optimized to handle a wide range of tasks sequentially. Whereas, a GPU have thousands of relatively simple cores that are designed for parallel processing. For high performance, we will need both CPU and GPU.

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