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Multiple GPU Servers, Multiple Graphics Card Hosting

Exploring multiple GPU dedicated servers featuring the advances in GPU technology. By deeply delving into gaming, graphic rendering, and others, our servers with various GPUs provide the power and flexibility you want.

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Reasons to Choose Our Multiple GPU Servers

GPU4HOST’s multiple GPUs offer unmatched speed and productivity, featuring cutting-edge cooling systems and more bandwidth. With solid data security and constant customer support, our GPU dedicated servers ensure superior performance for all demanding apps.

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Unmatched Performance

GPU4HOST’s multiple GPU servers utilize the vast computational power of multiple GPU dedicated servers, delivering unparalleled performance for various projects like AI/ML, scientific research, deep learning, and a lot more.

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Enhanced ML Capabilities

For businesses involved in AI/ML and scientific research, our multiple GPU servers are vital. Boost AI inference, training, and testing, empowering both researchers & scientists to push the limits of innovation.

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Tech Support & Maintenance

Our dedicated customer support team is full of experts. From quick server deployment to constant maintenance, we are available all the time to offer the guidance you want, whenever you want, without any charge.

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Secure & Reliable

GPU4HOST’s multiple GPU servers are designed with safety and reliability as our first priorities. From the best-quality components to robust testing procedures, you can simply trust our servers to have high performance.

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Full Admin/Root Access

Get proper control over your multiple servers with complete admin/root access. Tailor and enhance your configurations to fulfill your business needs, giving you the freedom to boost multi GPU server performance.

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Reliability & Flexibility

Our multiple GPU servers provide reliability to fulfill your increasing computational requirements. Simply level up by including GPU cards, ensuring reliability and affordability as your business needs change.

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Multiple GPU - 3xRTX 3060

$ 619.00/month

$50.99
Use Code: MULTIGPU10
  • Dual 18-Core E5-2697v4
  • 256GB RAM
  • 2TB NVMe
  • 1Gbps Port Speed
  • GPU: 3xGeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS
  • OS: Windows / Linux
  • Fully managed
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Multiple GPU - 3xV100

$ 719.00/month

$50.99
Use Code: MULTIGPU10
  • Dual 18-Core E5-2697v4
  • 256GB RAM
  • 2TB NVMe
  • 1Gbps Port Speed
  • GPU: 3xNvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 3
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS
  • OS: Windows / Linux
  • Fully managed
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Multiple GPU - 3xRTX A5000

$ 819.00/month

$50.99
Use Code: MULTIGPU10
  • Dual 18-Core E5-2697v4
  • 256GB RAM
  • 2TB NVMe
  • 1Gbps Port Speed
  • GPU: 3xQuadro RTX A5000
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS
  • OS: Windows / Linux
  • Fully managed
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Multiple GPU - 3xRTX A6000

$ 1,319.00/month

$50.99
Use Code: MULTIGPU10
  • Dual 18-Core E5-2697v4
  • 256GB RAM
  • 2TB NVMe
  • 1Gbps Port Speed
  • GPU: 3xQuadro RTX A6000
  • Microarchitecture: Ampere
  • Max GPUs: 3
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS
  • OS: Windows / Linux
  • Fully managed
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Multiple GPU - 8xV100

$ 1,919.00/month

$50.99
Use Code: MULTIGPU10
  • Dual 22-Core E5-2699v4
  • 512GB RAM
  • 4TB NVMe
  • 1Gbps Port Speed
  • GPU: 8xNvidia Tesla V100
  • Microarchitecture: Volta
  • Max GPUs: 8
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS
  • OS: Windows / Linux
  • Fully managed
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Multiple GPU - 4xA100

$ 2,619.00/month

$50.99
Use Code: MULTIGPU10
  • Dual 22-Core E5-2699v4
  • 512GB RAM
  • 4TB NVMe
  • 1Gbps Port Speed
  • GPU: 4xNvidia A100
  • Microarchitecture: Ampere
  • Max GPUs: 4
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPS
  • OS: Windows / Linux
  • Fully managed
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  • Instant Support
  • Quick Deploy
  • Robust Security
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Multi GPU Gaming Server

A multi-GPU gaming server boosts your gaming experience to another level simply by harnessing the computational power of multiple graphics cards for exceptional performance. With quicker rendering, smooth gameplay, and high-resolution graphics, this whole server setup is an ideal option for gaming, AR/VR, or high-level multiplayer gameplay.

Boost your gameplay with high frame rates and the proficiency to manage all games with full comfort. Dive deeply into titles with full confidence, by having our gaming servers that provide reliable performance and visual precision.

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Multi GPU Deep Learning Servers

These servers boost AI/ML-based tasks, allowing enhanced performance for vast datasets and quicker model training. One of the most ideal choices for ML, these GPU dedicated servers offer robust parallel processing for advanced scientific research and development.

Multiple GPU Deep learning servers allow quick parallel processing, decreasing training times for deep learning-based models such as recurrent neural networks, transformers, generative adversarial networks, autoencoders, and many more. Manage cutting-edge tasks like image or voice recognition and others with high speed and fidelity.

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Cloud Computing & Virtualization with Multiple GPU Servers

Both cloud computing and virtualization with multiple GPU servers offer optimized environments for various demanding projects such as AI/ML, 3D modeling, and many more. These solutions provide robust scalability, allowing various VMs to boost GPU power for better computations. Multiple GPU cloud environments enhance resource allocation and decrease charges while increasing productivity.

Deploy virtual machines (VMs) and cloud-based services with high performance and reliability. Our GPU dedicated servers allow seamless multitasking and benefit a huge amount of available users, making them one of the best options for hosting virtual desktops, dedicated gaming servers, and GPU-boosted applications easily in the cloud.

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Multiple GPU Rendering Servers

Multiple GPU Rendering Servers offer optimal performance for 3D modeling, high-level visual effects, and robust animation, significantly decreasing graphic render times. By distributing heavy workloads across all servers, these GPU dedicated servers boost productivity and output quality in almost all industries. They offer the power required for high-level graphic rendering, scientific simulations, and fine-quality outputs.

Producing outstanding visual effects and rendering cutting-edge graphics in specific time. Multiple GPU dedicated servers with robust NVIDIA CUDA scale up rendering performance, letting both designers and artists create accurate images, high-level animations, and simulations in the case of films, video games, and VR experiences.

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Have Any Query!

Contact us all the time to get the solution to your query from our dedicated experts.

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Frequently Asked Questions

1. What are multiple GPU servers?

A multiple GPU server is a type of powerful computing system that is well-equipped with two or more GPU cards in a single GPU dedicated server. These types of servers are built especially to manage high-level tasks like AI/ML training, deep learning, graphic rendering, and complex simulations by using the processing power of all GPU cards. They provide robust performance, reliability, and productivity when simply compared to a single GPU card server, making them very important for demanding heavy workloads.

2. Is it possible to install multiple GPU servers?

Yes, anyone can simply install multiple GPUs if your system's motherboard has adequate PCIe slots, and it also depends on your power supply to see if it can handle it or not. Traditionally, very similar types of GPU dedicated servers were needed for technologies such as Crossfire (AMD) or SLI (Nvidia) to work easily. The latest versions of these advanced technologies are less prevalent.

3. What is the point of multiple GPUs?

Multiple GPU servers offer robust parallel processing power for complex computational tasks, like training neural networks, video and image processing, and some other algorithms of machine learning.

4. How can I implement deep learning with multiple GPUs?

There are a plethora of ways to easily implement deep learning along with multi-GPU servers, including using a framework, using a GPU cluster, splitting data, and many more.

5. Can you use an integrated and discrete GPU simultaneously?

Yes, it is simply possible to utilize both a discrete GPU and an integrated GPU at the same time on a similar computer, but it completely depends on the system you used and whether you need to use both servers for diverse tasks.

6. Is a multi-GPU setup worth it?

Yes, a multi-GPU setup can be completely worth it for different types of applications, including deep learning, video editing, and gaming apps. Various graphic cards can easily divide the heavy workload, boost performance (high-quality frame rates, better resolutions), and offer additional filters.

7. What are the advantages of multi-GPU training?
  • The multi-GPU training boosts model training by simply dividing the heavy workload, resulting in quicker convergence.
  • With the help of multiple GPU servers, you can train huge models that may not easily fit into single GPU memory.
  • The use of accessible hardware resources more productively decreases both training time and additional charges.
8. Is multi GPU worth it for gaming?

Yes, a multi-GPU setup can be a lot more worth it for modern gaming applications, specifically for accelerated gaming. When it comes to the perfect GPU dedicated servers in the case of gaming, including a dedicated graphics card can boost your gaming. In the case of 1 graphics card vs. 2 graphics card configuration, dual cards can share the heavy load while increasing productivity.