Accelerate Your Workloads with GPU Servers

Leverage the massive parallel processing power of NVIDIA® GPUs for AI, machine learning, rendering, and complex scientific computing.

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NVIDIA® GPUs
AI & Machine Learning
High-Performance CPUs
Fast NVMe Storage

Our GPU Server Configurations

Choose from a range of servers equipped with powerful NVIDIA GPUs. Custom builds are available.

USD ($)
INR (₹)

GPU Server 1

  • GPU: NVIDIA Tesla M40 12GB
  • CPU: Intel Xeon Dual E5-2697v4
  • RAM: 256GB
  • Storage: 2TB SSD
  • Port: 1Gbps Unmetered
  • IPv4: /29 Block
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GPU Server 2

  • GPU: NVIDIA Quadro M2000 4GB
  • CPU: Intel Xeon Dual E5-2697v4
  • RAM: 256GB
  • Storage: 2TB SSD
  • Port: 1Gbps Unmetered
  • IPv4: /29 Block
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GPU Server 3

  • GPU: NVIDIA Tesla K80 24GB
  • CPU: Intel Xeon Dual E5-2697v4
  • RAM: 256GB
  • Storage: 2TB SSD
  • Port: 1Gbps Unmetered
  • IPv4: /29 Block
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GPU Server 4

  • GPU: NVIDIA Quadro M4000 8GB
  • CPU: Intel Xeon Dual E5-2697v4
  • RAM: 256GB
  • Storage: 2TB SSD
  • Port: 1Gbps Unmetered
  • IPv4: /29 Block
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GPU Server 5

  • GPU: 2x NVIDIA Tesla M40 12GB
  • CPU: Intel Xeon Dual E5-2697v4
  • RAM: 256GB
  • Storage: 2TB SSD
  • Port: 1Gbps Unmetered
  • IPv4: /29 Block
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GPU Server 6

  • GPU: 2x NVIDIA Tesla K80 24GB
  • CPU: Intel Xeon Dual E5-2697v4
  • RAM: 256GB
  • Storage: 2TB SSD
  • Port: 1Gbps Unmetered
  • IPv4: /29 Block
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GPU Server 7

  • GPU: 1x NVIDIA RTX 4070 Ti
  • CPU: AMD Ryzen 7 7700X (8 Cores)
  • RAM: 64GB DDR5
  • Storage: 2 x 1TB Gen4 NVMe
  • Port: 1Gbps Unmetered
  • Great for 3D & Video Work
CONTACT TO ORDER

GPU Server 8

  • GPU: 1x NVIDIA RTX 4090
  • CPU: AMD Ryzen 9 7900X (12 Cores)
  • RAM: 128GB DDR5
  • Storage: 2 x 2TB Gen4 NVMe
  • Port: 1Gbps Unmetered
  • Ideal for Rendering & VDI
CONTACT TO ORDER

GPU Server 9

  • GPU: 1x NVIDIA RTX A4000
  • CPU: Intel Xeon W-2255 (10 Cores)
  • RAM: 128GB DDR4 ECC
  • Storage: 2 x 2TB NVMe
  • Port: 10Gbps Unmetered
  • Pro-Grade AI & Graphics
CONTACT TO ORDER

GPU Server 10

  • GPU: 1x NVIDIA RTX 6000 Ada
  • CPU: AMD Threadripper 5955WX (16 Cores)
  • RAM: 256GB DDR4 ECC
  • Storage: 2 x 4TB Gen4 NVMe
  • Port: 10Gbps Unmetered
  • High-End Data Science
CONTACT TO ORDER

GPU Server 11

  • GPU: 1x NVIDIA A100 (80GB)
  • CPU: 2x AMD EPYC 7443P (48 Cores)
  • RAM: 512GB DDR4 ECC
  • Storage: 2 x 4TB Gen4 NVMe
  • Port: 10Gbps Unmetered
  • Datacenter-Scale AI Training
CONTACT TO ORDER

GPU Server 12

  • GPU: 1x NVIDIA H100 (80GB)
  • CPU: 2x Intel Xeon Platinum
    8468(96 Cores)
  • RAM: 1TB DDR5 ECC
  • Storage: 2 x 8TB Gen5 NVMe
  • Port: 100Gbps Infiniband
  • Ultimate AI & HPC Power
CONTACT TO ORDER

Need a Custom GPU Server Solution?

Don’t settle for standard GPU server plans. Our experts will configure a high-performance server tailored to your GPU, traffic, and application needs for maximum computing power.

Build Your GPU Server

Built for Demanding Applications

Our GPU servers provide the computational power required for a variety of intensive tasks.

AI & Machine Learning

Rapidly train complex deep learning models, run inference tasks, and accelerate your entire AI development pipeline.

Video Rendering & Transcoding

Dramatically reduce render times for 3D animation, visual effects, and high-resolution video transcoding.

Scientific Computing

Power through complex simulations, molecular modeling, and computational fluid dynamics (CFD) research.

Big Data Analytics

Accelerate data processing and visualization, running complex queries on massive datasets in record time.

Game Development & Streaming

Compile large game builds, run powerful game servers, or stream high-fidelity graphics to multiple users.

Virtual Desktop (VDI)

Deliver graphics-intensive applications and a seamless user experience to remote desktops and workstations.

GPU Server FAQ

Your most common questions about our GPU-accelerated servers answered.

What are the main uses for a GPU server?

GPU servers excel at parallel processing tasks. They are most commonly used for Artificial Intelligence (AI), machine learning, scientific research, 3D rendering, video processing, and big data analysis.

Which GPU is right for my project?

NVIDIA GeForce RTX cards (like the 4090) offer excellent performance-per-dollar for rendering and entry-level AI. NVIDIA RTX Ada/Quadro cards are for professional graphics and data science. NVIDIA A-series and H-series cards are the gold standard for high-end, datacenter-scale AI training.

Can I install my own drivers and AI frameworks?

Yes. All our GPU servers come with full root access, giving you complete control to install any NVIDIA drivers, CUDA toolkits, and frameworks like TensorFlow, PyTorch, or JAX.

Are these servers shared or dedicated?

Our GPU servers are fully dedicated, bare metal servers. You get exclusive access to all resources, including the CPU, RAM, storage, and the installed GPU(s), ensuring maximum performance and security.

How is cooling managed for these servers?

Our datacenters are equipped with enterprise-grade, redundant cooling systems specifically designed to handle the high thermal output of GPU servers, ensuring they run at optimal temperatures 24/7.

Can I get a server with multiple GPUs?

Yes. We can provide custom-built servers with multiple GPUs (2x, 4x, or 8x configurations) for large-scale AI training and HPC workloads. Please contact our sales team to discuss your specific requirements.

What operating systems are available?

We recommend using popular Linux distributions like Ubuntu, Debian, or AlmaLinux for the best compatibility with AI/ML frameworks. We can pre-install the OS of your choice, or you can mount your own ISO via IPMI.

Do you provide support for software or AI models?

Our GPU servers are unmanaged, meaning our support covers the hardware, network, and power. You are responsible for the installation, configuration, and troubleshooting of your software, drivers, and models. Managed service plans are available on request.

What kind of network connection is included?

Our servers come with high-speed, unmetered network ports, starting from 1Gbps up to 100Gbps Infiniband on our highest-end models. This ensures fast data transfer for large datasets and distributed training.

How long does server deployment take?

Deployment times for GPU servers can vary based on the specific model and hardware availability. Typically, standard configurations are deployed within 24-72 hours. Our team will provide an ETA upon order confirmation.

Is it possible to rent a GPU server for a short period?

While our standard billing cycle is monthly, we can sometimes accommodate shorter-term projects. Please reach out to our sales team with your project details and desired duration for a custom quote.

Can I upgrade the components in my GPU server later?

Upgrading components like RAM and storage is often possible, subject to chassis and motherboard compatibility. Swapping a GPU typically requires migrating to a different server model. We recommend contacting sales to plan a seamless upgrade path.