Fastest And Best GPU SERVERS PROVIDER

GPU Hosting, Dedicated Server with GPU

GPUHUT offers top-tier GPU Hosting for your high-performance computing projects! Our advanced infrastructure delivers unmatched power and speed for complex tasks like AI/deep learning, rendering, streaming, and gaming.

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GPU Servers Delivered
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Active Graphics Cards
1 Years
GPU Hosting Expertise

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GPU Expert Online Support

Affordable GPU Servers with 20+ Nvidia GPU Models for Numerous Business Scenarios

Prize Cards

Express GPU VPS - GT730

Features

  • 8GB RAM
  • 6 CPU Cores
  • 120GB SSD
  • 100Mbps Unmetered
  • Bandwidth

  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: GeForce GT730
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.692 TFLOPS

Price: $21.00/m


Express GPU VPS - K620

Features

  • 12GB RAM
  • 9 CPU Cores
  • 160GB SSD
  • 100Mbps Unmetered
  • Bandwidth

  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro K620
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.692 TFLOPS

Price: $21.00/m


Basic GPU VPS - P600

Features

  • 16GB RAM
  • 12 CPU Cores
  • 200GB SSD
  • 200Mbps Unmetered
  • Bandwidth

  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro P600
  • CUDA Cores: 384
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.2 TFLOPS

Price: $29.00/m


Lite GPU - GT710

Features

  • 16GB RAM
  • Quad-Core Xeon X3440
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForce GT710
  • Microarchitecture: Kepler
  • Max GPUs: 1
  • CUDA Cores: 192
  • GPU Memory: 1GB DDR3
  • FP32 Performance: 0.336 TFLOPS

Price: $45.00/m


Lite GPU - GT730

Features

  • 16GB RAM
  • Quad-Core Xeon E3-1230
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForce GT730
  • Microarchitecture: Kepler
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.692 TFLOPS

Price: $49.00/m


Lite GPU - K620

Features

  • 16GB RAM
  • Quad-Core Xeon E3-1270v3r
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro K620
  • Microarchitecture: Maxwell
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.863 TFLOPS

Price: $49.00/m


Express GPU - P600

Features

  • 32GB RAM
  • Quad-Core Xeon E5-2643
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro P600
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 384
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.2 TFLOPS

Price: $52.00/m


Express GPU - P620

Features

  • 32GB RAM
  • Eight-Core Xeon E5-2670
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro P620
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 512
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.5 TFLOPS

Price: $59.00/m


Express GPU - P1000

Features

  • 32GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro P1000
  • Microarchitecture: Pascal
  • Max GPUs: 1
  • CUDA Cores: 640
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 1.894 TFLOPS

Price: $64.00/m


Basic GPU - GTX 1650

Features

  • 64GB RAM
  • Eight-Core Xeon E5-2667v3
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForce GTX 1650
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 896
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 3.0 TFLOPS

Price: $99.00/m


Basic GPU - T1000

Features

  • 64GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro T1000
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 896
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 2.5 TFLOPS

Price: $79.2/m


Basic GPU - K80

Features

  • 64GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 1100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Tesla K80
  • Microarchitecture: Turing
  • Max GPUs: 2
  • CUDA Cores: 4992
  • GPU Memory: 24GB GDDR5
  • FP32 Performance: 8.73 TFLOPS

Price: $129.00/m


Professional GPU VPS - A4000

Features

  • 32GB RAM
  • 24 CPU Cores
  • 320GB SSD
  • 300Mbps Unmetered
  • Bandwidth

  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro RTX A4000
  • CUDA Cores: 6,144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS

Price: $129.00/m


Basic GPU - GTX 1660

Features

  • 64GB RAM
  • Dual 10-Core Xeon E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbpsr

  • OS: Linux / Windows 10
  • GPU: Nvidia GeForce GTX 1660
  • Microarchitecture: Turing
  • Max GPUs: 1
  • CUDA Cores: 1408
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 5.0 TFLOPS

Price: $139.00/m


Basic GPU - RTX 4060

Features

  • 64GB RAM
  • Eight-Core E5-2690
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForece RTX 4060
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11 TFLOPS

Price: $149.00/m


Professional GPU - RTX 2060

Features

  • 128GB RAM
  • Dual 10-Core E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia GeForce RTX 2060
  • Microarchitecture: Ampere
  • Max GPUs: 2
  • CUDA Cores: 1920
  • Tensor Cores: 240
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 6.5 TFLOPS

Price: $111.3/m


Advanced GPU - RTX 3060 Ti

Features

  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 2
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS

Price: $179.00/m


Advanced GPU - A4000

Features

  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A4000
  • Microarchitecture: Ampere
  • Max GPUs: 2
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS

Price: $209.00/m


Advanced GPU - V100

Features

  • 128GB RAM
  • Dual 12-Core E5-2690v3
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 1
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS

Price: $229.00/m


Advanced GPU - A5000

Features

  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A5000
  • Microarchitecture: Ampere
  • Max GPUs: 2
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS

Price: $269.00/m


Enterprise GPU - A40

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia A40
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 37.48 TFLOPS

Price: $439.00/m


Enterprise GPU - RTX 4090

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 1
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS

Price: $409.00/m


Enterprise GPU - RTX A6000

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A6000
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS

Price: $409.00/m


Enterprise GPU - A100

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: Nvidia A100
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPS

Price: $639.00/m


Multi-GPU - 3xRTX 3060 Ti

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 3 x GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS

Price: $369.00/m


Multi-GPU - 3xRTX A5000

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A5000
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS

Price: $539.00/m


Multi-GPU - 3xRTX A6000

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS

Price: $899.00/m


Multi-GPU - 3xV100

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 3 x Nvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 3
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS

Price: $469.00/m


Multi-GPU - 2xRTX 4090

Features

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 2 x GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • Max GPUs: 2
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS

Price: $639.00/m


Multi-GPU - 8xV100

Features

  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 8 x Nvidia Tesla V100
  • Microarchitecture: Volta
  • Max GPUs: 8
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS

Price: $1499.00/m


Multi-GPU - 4xA100

Features

  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbps

  • OS: Windows / Linux
  • GPU: 4 x Nvidia A100 with NVLink
  • Microarchitecture: Ampere
  • Max GPUs: 4
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPS

Price: $1899.00/m


Benefits of Using GPU Hosting and Dedicated GPU Server Rental

GPU hosting can provide significant benefits for organizations and individuals that need access to high-performance computing resources. By renting access to GPU servers, you can save costs, access powerful computing resources, and scale up or down as needed, all while reducing the need for maintenance and management.

Cost Savings

GPU hosting can provide significant cost savings compared to buying GPU computer. With GPU hosting, you don't need to invest in expensive hardware or pay for the associated maintenance and upgrades. Instead, you can rent access to high-performance GPU servers on a pay-per-use basis, which can be much more cost-effective for many use cases.

Instant Availability

GPU hosting provides access to high-performance computing resources that can handle complex computations and parallel processing tasks. Renting GPU servers allows immediate access to the required computing resources without the need to wait for equipment procurement and deployment.

Scalability and Flexibility

With GPU hosting, you can easily scale your computing resources up or down to meet changing needs. You can quickly add or remove GPU instances as needed, allowing you to handle spikes in demand or adjust to changing workloads. This provides a high degree of flexibility and agility, which can be especially valuable for businesses and organizations that need to adapt to changing circumstances.

Reduced Maintenance and Management

With GPU hosting, you don't need to worry about maintaining and managing hardware and software on your own. The hosting provider takes care of the infrastructure and maintenance, including security updates, backups, and hardware repairs. This frees up your time and resources, allowing you to focus on your core business activities.

Bare Metal GPU Servers

Experience superior performance for demanding applications with GPU dedicated server. With no CPU/RAM/GPU sharing, your server effortlessly manages heavy workloads.

GPU Hosting Experts

With 5 years of experience in GPU server hosting, GPU Mart provides expertly configured GPU dedicated servers tailored to various industry needs. Our team of GPU specialists is available 24/7 to offer technical support, ensuring smooth operation of your GPU servers.

How GPU Hosting Works?

GPU hosting provides a flexible and scalable way to access high-performance computing resources without purchasing and maintaining expensive hardware. By renting the access rights of the remote GPU server, you can perform complex calculations, run simulations, and accelerate machine learning, AI algorithms, and other applications.
01.

Select plan, Configure Instance

After selecting a plan, we will configure your server to meet your needs. This may involve selecting the amount of memory, storage, and processing capacity you need, as well as the operating system and software you want to use. A remote connection account will be sent to you by email.

02.

GPU Instance Trial or Pay

GPU Mart will charge you the usage fee of the GPU instance according to the time you use the GPU instance. You can usually choose to pay by month or year. The cost of GPU hosting is related to the resources and payment cycle you choose.

03.

Access Instance

After getting the GPU server, you can access it through a remote desktop connection, a command line interface, and other methods. Then, you can install and run the software, upload data, and perform calculations on the remote GPU server.

04.

Manage Instances

You will be responsible for managing the software and data on the GPU instance, as well as any security or maintenance tasks that may be required. GPU Mart will do its best to provide support and resources to help you manage your instance, but you usually need to be responsible for any customization or configuration you make.

Affordable GPU Hosting Provider with Stunning Quality: GPU Mart

GPU Mart is committed to providing professional GPU server hosting. At present, we have provided a variety of GPU dedicated hosting solutions for deep learning, AI, Android emulators, games, and video rendering. Chat with our experts at any time.

Our Customers

OUR CUSTOMER IS OUR FIRST  BOSS

FAQs of GPU Dedicated Server Hosting

Find answers to the most frequently asked questions about GPU dedicated server hosting.

GPU hosting is a hosting for servers packed with graphics cards, designed to harness this raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance.

A GPU dedicated server is a physical server dedicated to a user or organization and equipped with one or more GPUs (graphics processing units). These servers are usually used for high-performance computing tasks that require a lot of parallel processing capabilities, such as scientific simulation, machine learning, and video rendering.
Compared with CPU-based servers, GPU servers are usually much faster for tasks that can be processed in parallel across multiple cores. This is because GPUs have much more cores than CPUs, which makes them very suitable for decomposing into many small computing tasks that can be executed at the same time. GPU dedicated servers can be purchased or leased from various hosting providers. They differ in GPU type, GPU quantity, available memory and storage. These servers can be managed remotely, allowing users to access their computing resources from anywhere through Internet connections.

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.

A dedicated server with GPU rental is a service offered by hosting providers that allows users to rent a dedicated physical server equipped with one or more GPUs (graphics processing units) for a specified period of time. This service can be particularly useful for tasks that require high-performance computing resources, such as machine learningientific simulations, and video rendering.
Unlike virtualized GPU instances, dedicated servers with GPU rental offer users full access to the physical hardware, providing more control and customization options. Users can install their own software and configure the server to meet their specific requirements. Additionally, dedicated servers with GPU rental can offer more consistent performance and higher throughput compared to shared resources. When renting a dedicated server with GPU, users can typically choose from a range of specifications, including the type and number of GPUs, the amount of memory and storage, and the processing power of the CPU. The cost of the service will depend on the specifications selected and the duration of the rental.

Yes, a GPU dedicated server can be used for streaming and running Android emulators. By providing improved performance, faster processing, multi-tasking, and customization options, a GPU dedicated server can help you to create a stable and efficient environment for these applications.

Some common GPUs used in hosting environments include Nvidia GeForce, Quadro, Tesla, and RTX Server. The specific GPU you choose will depend on your needs and the applications you will be running.

Putting a GPU in a server can significantly increase its computing power, making it capable of handling more complex and demanding tasks. GPUs, or graphics processing units, are highly specialized processors that are designed to handle parallel computing tasks, such as those required for machine learning, scientific simulations, and gaming.
Compared to traditional central processing units (CPUs), GPUs are more efficient at handling compute-intensive workloads because they can perform multiple calculations simultaneously. This is due to the fact that GPUs have many more cores than CPUs, which allows them to process data much faster and in parallel.
By adding a GPU to a server, you can accelerate compute-intensive applications and reduce processing times, leading to improved performance, reduced latency, and increased efficiency. This is particularly important for applications that require real-time processing, such as video rendering, transcoding, and streaming, or for tasks that involve large datasets, such as machine learning and data analytics.

"Best and High Speed GPU Hosting Providers!"


I am thier customer from 2 years and seriously GPUHUT is Best and Provide High Speed GPU Hosting Providers!
kim Jeni
CEO, Nec Tech