Cloud GPU Server Plans
Flexible, scalable plans designed for high-performance GPU Server.
Dedicated 32 GB + RTX6000 GPU x1
Cloud GPU Server
$1110.00/mo
Buy NowFeatures
- NVIDIA Quadro RTX 6000
- 8 Core CPUs
- 32 GB RAM
- 640 GB NVMe
- 16 TB Transfer
- 40 Gbps / 10 Gbps Network In/Out
Dedicated 64 GB + RTX6000 GPU x2
Cloud GPU Server
$2220.00/mo
Buy NowFeatures
- 2 x NVIDIA Quadro RTX 6000
- 16 Core CPUs
- 64 GB RAM
- 1280 GB NVMe
- 20 TB Transfer
- 40 Gbps / 10 Gbps Network In/Out
Dedicated 96 GB + RTX6000 GPU x3
Cloud GPU Server
$3330.00/mo
Buy NowFeatures
- 3 x NVIDIA Quadro RTX 6000
- 20 Core CPUs
- 96 GB RAM
- 1920 GB NVMe
- 20 TB Transfer
- 40 Gbps / 10 Gbps Network In/Out
Dedicated 128 GB + RTX6000 GPU x4
Cloud GPU Server
$4440.00/mo
Buy NowFeatures
- 4 x NVIDIA Quadro RTX 6000
- 24 Core CPUs
- 128 GB RAM
- 2560 GB NVMe
- 20 TB Transfer
- 40 Gbps / 10 Gbps Network In/Out
RTX4000 Ada x1 Small
Cloud GPU Server
$388.00/mo
Buy NowFeatures
- RTX4000 Ada x1 Small
- 4 Core CPUs
- 16 GB RAM
- 512 GB NVMe
- 40 Gbps / 16 Gbps Network In/Out
RTX4000 Ada x1 Medium
Cloud GPU Server
$388.00/mo
Buy NowFeatures
- RTX4000 Ada x1 Medium
- 8 Core CPUs
- 32 GB RAM
- 512 GB NVMe
- 40 Gbps / 16 Gbps Network In/Out
RTX4000 Ada x1 Large
Cloud GPU Server
$708.00/mo
Buy NowFeatures
- RTX4000 Ada x1 Large
- 16 Core CPUs
- 64 GB RAM
- 512 GB NVMe
- 40 Gbps / 16 Gbps Network In/Out
RTX4000 Ada x1 X-Large
Cloud GPU Server
$1134.00/mo
Buy NowFeatures
- RTX4000 Ada x1 X-Large
- 32 Core CPUs
- 128 GB RAM
- 512 GB NVMe
- 40 Gbps / 16 Gbps Network In/Out
What Does a GPU Server Mean for Your High-Performance Applications?
Unlock next-level computing power with dedicated GPU servers. Designed for AI, deep learning, rendering, and high-performance applications, our GPU-powered infrastructure delivers faster computations, enhanced parallel processing, and seamless scalability—ensuring maximum efficiency for demanding workloads.
Blazing-Fast GPU Performance
With high-end GPUs, ultra-fast NVMe storage, and optimized processing architecture, our GPU servers deliver lightning-fast computation speeds for AI, deep learning, and high-performance applications.
Instant Resource Scaling
No need for downtime or migrations—scale your GPU power, RAM, and CPU instantly as your workload demands grow, ensuring seamless performance without interruptions.
Intuitive Server Management
Manage your GPU server with ease using a user-friendly control panel. Configure resources, monitor performance, and deploy applications effortlessly.
Fully Managed Infrastructure
Our experts handle server management, updates, and security patches, so you can focus on running your AI models, simulations, and GPU-intensive applications without hassle.
Rapid Deployment
Get your GPU server up and running instantly after purchase—no delays, no complex configurations—just pure computing power at your fingertips.
1-Click Framework & AI Toolkit Installer
Easily deploy AI frameworks like TensorFlow, PyTorch, CUDA, and 100+ other applications to kickstart your AI, deep learning, and high-performance computing projects in seconds.
GPU Server (FAQs)
Have questions? We've got answers.
- What is a GPU Server?
A GPU server is a high-performance computing solution that utilizes Graphics Processing Units (GPUs) to accelerate complex tasks such as AI training, deep learning, scientific simulations, and video rendering. Unlike traditional CPU-based servers, GPU servers are optimized for parallel processing and high-speed computations.
- What are the benefits of using a GPU server?
GPU servers offer significant advantages for compute-intensive applications, including faster data processing, superior parallel computing capabilities, and optimized performance for AI, ML, and data analytics workloads. They also provide better efficiency for rendering, gaming, and blockchain-related applications.
- Which industries benefit from GPU servers?
GPU servers are widely used in industries such as artificial intelligence, data science, healthcare, engineering simulations, video rendering, cryptocurrency mining, and high-performance computing (HPC) environments.
- What GPUs are available on your servers?
Our GPU servers come equipped with high-performance GPUs from NVIDIA and AMD, including models like **NVIDIA A100, RTX 3090, RTX 4090, Tesla V100, and AMD Instinct MI210**, depending on the plan you choose.
- Can I upgrade my GPU or add more resources?
Yes, our GPU servers support instant resource scaling. You can add more **GPUs, RAM, and CPU cores** based on your workload requirements without experiencing downtime.
- Do you provide dedicated GPU servers?
Yes, we offer both **dedicated and virtualized GPU servers**. Dedicated GPU servers provide exclusive access to GPU resources, ensuring optimal performance for your applications.
- How do I install an AI framework on my GPU server?
Our GPU servers come pre-installed with essential **AI and deep learning frameworks**, including **TensorFlow, PyTorch, CUDA, cuDNN, and more**. You can also install custom software as needed.
- Do you provide pre-configured environments for AI and ML?
Yes, our GPU servers support pre-configured **Jupyter Notebooks, Docker containers, and popular AI toolkits** to simplify your workflow and accelerate project deployment.
- Can I use the GPU server for video rendering?
Absolutely! Our GPU servers are optimized for high-performance rendering tasks using software like **Blender, DaVinci Resolve, Adobe After Effects, and Cinema 4D**, ensuring smooth and efficient processing.
- What is your backup policy?
We provide **automated weekly backups** for your GPU server. However, for critical data, we recommend implementing your own backup strategy or using our **optional cloud backup services**.
- Do you offer a money-back guarantee?
Yes, we offer a **30-day money-back guarantee** on all GPU server plans, ensuring you have peace of mind when testing our high-performance solutions.
