Choose Your Dedicated GPU Server Hosting Plans

We offer the best budget GPU servers to ensure you can take full advantage of a wide range of deep learning, AI, and HPC applications.

Express GPU-P1000
$64
/month
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  • Eight-Core Xeon E5-2690
  • 32GB Memory
  • 120GB SSD + 960GB SSD Disk
  • 100Mbps Unmetered Bandwidth
  • Nvidia Quadro P1000
  • Monthly : $74/month
  • Quarterly : $71/month
  • Annually : $69/month
  • Biennially : $64/month
  • Pascal Microarchitecture
  • 4GB GDDR5 GPU Memory
  • 640 CUDA Cores
  • 1.894 TFLOPS FP32 Performance
Basic GPU-RTX 4060
$149
/month
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  • Eight-Core Xeon E5-2690
  • 64GB RAM Memory
  • 120GB SSD + 960GB SSD Disk
  • 100Mbps Unmetered Bandwidth
  • Nvidia GeForce RTX 4060
  • Monthly : $179/month
  • Quarterly : $169/month
  • Annually : $159/month
  • Biennially : $149/month
  • Ada Lovelace Microarchitecture
  • 8GB GDDR6 GPU Memory
  • 96 Tensor Cores
  • 3072 CUDA Cores
  • 15.11 TFLOPS FP32 Performance
Advanced GPU-A4000
$209
/month
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  • Dual 12-Core E5-2697v2
  • 128GB RAM Memory
  • 240GB SSD + 2TB SSD Disk
  • 100Mbps Unmetered Bandwidth
  • Nvidia Quadro RTX A4000
  • Monthly : $279/month
  • Quarterly : $259/month
  • Annually : $239/month
  • Biennially : $209/month
  • Ampere Microarchitecture
  • 16GB GDDR6 GPU Memory
  • 192 Tensor Cores
  • 6144 CUDA Cores
  • 19.2 TFLOPS FP32 Performance
Advanced GPU-A5000
$269
/month
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  • Dual 12-Core E5-2697v2
  • 128GB RAM Memory
  • 240GB SSD + 2TB SSD Disk
  • 100Mbps Unmetered Bandwidth
  • Nvidia Quadro RTX A5000
  • Monthly : $349/month
  • Quarterly : $319/month
  • Annually : $299/month
  • Biennially : $269/month
  • Ampere Microarchitecture
  • 24GB GDDR6 GPU Memory
  • 256 Tensor Cores
  • 8192 CUDA Cores
  • 27.8 TFLOPS FP32 Performance
Enterprise GPU-RTX A6000
$409
/month
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  • Dual 18-Core E5-2697v4
  • 256GB RAM Memory
  • 240GB SSD + 2TB NVMe + 8TB SATA Disk
  • 100Mbps Unmetered Bandwidth
  • Nvidia Quadro RTX A6000
  • Monthly : $549/month
  • Quarterly : $499/month
  • Annually : $459/month
  • Biennially : $409/month
  • Ampere Microarchitecture
  • 48GB GDDR6 GPU Memory
  • 336 Tensor Cores
  • 10,752 CUDA Cores
  • 38.71 TFLOPS FP32 Performance

6 Reasons to Choose our Dedicated GPU Hosting

Cloud Clusters GPU hosting provides a reliable, secure, and scalable solution for hosting your AI cloud service.

Fast Network

Fast Network

We have a strong infrastructure in the US data center to ensure that customers have stable and fast network connections.

Performance

Performance

GPUs offer superior parallel processing capabilities compared to CPUs, making them ideal for compute-intensive tasks.

Cost-Effectiveness

Cost-Effectiveness

For many applications, using GPUs can be more cost-effective than scaling out large CPU-based clusters.

99.9% Uptime Guarantee

99.9% Uptime Guarantee

With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for Ollama hosting service.

Full Root/Admin Access

Full Root/Admin Access

With full root/admin access, you will be able to take full control of your dedicated GPU servers for Ollama hosting very easily and quickly.

24/7/365 Technical Support

24/7/365 Technical Support

Provides round-the-clock technical support to help you resolve any issues related to Ollama AI chatbot.

Key Features of Cloud Clusters GPU Hosting

Cloud Clusters is committed to providing professional GPU server hosting. 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.

Bare Metal GPU Servers

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.

Cheap GPU Hosting

Cheap GPU Hosting

Cloud Clusters is dedicated to providing cost-effective GPU hosting services, making GPU computing accessible to everyone worldwide. Our prices are among the most competitive in the market, catering to both individual IT enthusiasts and professionals.

Premium Hardware

Premium Hardware

Our GPU dedicated servers and VPSs are equipped with high-quality NVIDIA graphics cards, efficient Intel CPUs, pure SSD storage, and renowned memory brands such as Samsung and Hynix.

Dedicated GPU Cards

Dedicated GPU Cards

When you purchase a GPU server from Cloud Clusters, whether it's a GPU dedicated server or GPU VPS, you benefit from dedicated GPU resources. This means you have exclusive access to the entire GPU card's computing power, including all GPU memory, cores, and other resources.

Use Cases of GPU Dedicated Server Hosting

GPU Dedicated Server Hosting leverages the powerful computational capabilities of GPUs for a variety of demanding applications. Here are some common use cases:

Deep Learning and AI

GPUs accelerate the training of deep learning models by processing large amounts of data simultaneously. Once trained, models can be deployed for real-time predictions. GPUs help in faster inference, which is critical for applications like real-time image or speech recognition.

Deep Learning and AI

High-Performance Computing (HPC)

Fields like physics, chemistry, and biology use GPUs to run complex simulations. Large-scale data processing and statistical analysis benefit from GPU acceleration, enhancing the speed of data mining and pattern recognition.

High-Performance Computing (HPC)

3D Rendering and Animation

GPUs are pivotal in rendering 3D graphics for movies, animations, and video games, significantly reducing rendering times.

3D Rendering and Animation

Video Processing and Streaming

GPUs accelerate the encoding and decoding of video streams, allowing for efficient live streaming and video-on-demand services.

Video Processing and Streaming

FAQs of GPU Dedicated Server Hosting

The most commonly asked questions about GPU dedicated server hosting.

What is hosting with GPU?

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.

What is GPU Dedicated Server?

A dedicated GPU server is a bare metal server equipped with one or more GPUs. It is used for high-performance computing tasks that require a lot of parallel processing power, such as deep learning, machine learning, and video rendering. Compared with traditional servers with only CPUs, GPU servers are more suitable for applications that require a lot of parallel computing.

What is dedicated server with GPU Rental?

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.

How to choose the right GPU instance?

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.

Are GPU dedicated servers good for streaming or running Android emulators?

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.

Should I use a dedicated GPU server?

Yes. A dedicated GPU server will give better performance and faster applications than a cloud GPU server. A cloud or shared server's resources are shared between all the users on that particular server.

What is the purpose of a dedicated server with GPU?

A dedicated server with GPU is a physical server that's assigned to a single organization. You need a server to host or run your applications and websites so that your users can access your services. The hosting provider manages and maintains the physical server resources and allocates them to different customers.