GPU Servers for AI, LLM & Deep Learning: NVIDIA GPU Hosting
Rent NVIDIA GPU servers for AI, LLMs, deep learning, Stable Diffusion and rendering, with RTX 5090, RTX A6000 and A100 GPUs, from ₹4,359/month. Ready in 2–4 business hours with real 24×7 human support.
GPU server plans & pricing
From entry-level GPU VPS to multi-GPU dedicated servers for AI training. Prices in ₹, excluding 18% GST.
Express GPU VPS
or ₹43,209/year save 17%
- GPUGT730 / P600 / K620 (2 GB)
- CPU8 vCPU
- RAM16 GB
- Storage120 GB SSD
- Bandwidth100 Mbps unmetered
- TypeGPU VPS
Linux only (Ubuntu with PyTorch + CUDA ready)
Order MonthlyOrder yearly →Basic GPU VPS – RTX 5060
or ₹1,60,209/year save 10%
- GPURTX 5060
- CPU16 vCPU
- RAM28 GB
- Storage240 GB SSD
- Bandwidth200 Mbps unmetered
- TypeGPU VPS
Linux only (Ubuntu with PyTorch + CUDA ready)
Order MonthlyOrder yearly →Professional GPU VPS – RTX A4000
or ₹2,32,209/year save 13%
- GPURTX A4000 (16 GB)
- CPU24 vCPU
- RAM28 GB
- Storage320 GB SSD
- Bandwidth300 Mbps unmetered
- TypeGPU VPS
Linux only (Ubuntu with PyTorch + CUDA ready)
Order MonthlyOrder yearly →Advanced GPU Server – RTX 3060 Ti
or ₹3,58,209/year save 17%
- GPURTX 3060 Ti
- CPU2 x 12-Core Xeon E5-2697v2
- RAM128 GB
- Storage240 GB SSD + 2 TB SSD
- Bandwidth100 Mbps unmetered
- TypeDedicated GPU server
Windows Server licence: +₹11,259/mo
Order MonthlyOrder yearly →Advanced GPU VPS – RTX 5090
or ₹8,26,209/year save 15%
- GPURTX 5090 (32 GB)
- CPU32 vCPU
- RAM84 GB
- Storage400 GB SSD
- Bandwidth500 Mbps unmetered
- TypeGPU VPS
Linux only (Ubuntu with PyTorch + CUDA ready)
Order MonthlyOrder yearly →Enterprise GPU Server – RTX A6000
or ₹8,08,209/year save 18%
- GPURTX A6000 (48 GB)
- CPU2 x 18-Core Xeon E5-2697v4
- RAM256 GB
- Storage240 GB SSD + 2 TB NVMe + 8 TB SATA
- Bandwidth100 Mbps unmetered
- TypeDedicated GPU server
Windows Server licence: +₹18,759/mo
Order MonthlyOrder yearly →Enterprise GPU Server – A100
or ₹12,22,209/year save 15%
- GPUNVIDIA A100 (40 GB)
- CPU2 x 18-Core Xeon E5-2697v4
- RAM256 GB
- Storage240 GB SSD + 2 TB NVMe + 8 TB SATA
- Bandwidth100 Mbps unmetered
- TypeDedicated GPU server
Windows Server licence: +₹18,759/mo
Order MonthlyOrder yearly →Enterprise Multi-GPU Server – 2 x RTX 5090
or ₹16,90,209/year save 15%
- GPU2 x RTX 5090 (32 GB each)
- CPU2 x 22-Core Xeon E5-2699v4
- RAM256 GB
- Storage240 GB SSD + 2 TB NVMe + 8 TB SATA
- Bandwidth1 Gbps unmetered
- TypeDedicated GPU server
Windows Server licence: +₹22,509/mo
Order MonthlyOrder yearly →Add-ons & upgrades
Customise any plan at checkout. Add-on prices are per month (yearly billing = 12×), excluding 18% GST.
| Add-on | Price |
|---|---|
| Windows Server licence (dedicated GPU servers) | ₹11,259–₹22,509 (shown on each plan) |
| Extra RAM 64 GB / 128 GB / 256 GB DDR4 | ₹2,859 / ₹4,359 / ₹7,359 |
| Extra SSD / NVMe / SATA drives | From ₹759 |
| Additional dedicated IPv4 | ₹309 per IP |
| Port upgrade (GPU VPS) to 1 Gbps | ₹1,509 |
| Port upgrade (dedicated GPU) to 200 Mbps / 1 Gbps | ₹1,509 / ₹3,009 |
| Hardware firewall: shared / dedicated | ₹4,359 / ₹14,859 |
| HDMI dummy plug (one-time) | ₹2,259 |
| Windows backup, twice weekly: 40 / 80 / 120 / 160 GB | ₹4,509 / ₹9,009 / ₹13,509 / ₹18,009 |
| Ubuntu 24.04 with PyTorch 2.8 + CUDA 12.8 pre-installed | Free |
Power your AI, rendering and compute workloads
Need more power or a custom build?
H100, A100 80 GB, 4–8 GPUs, RAID, extra IPs or a cluster. Tell us your requirements and get the best price, usually the same business day.
Frequently asked questions
What is a GPU server used for?
GPU servers accelerate AI and machine learning (training and inference), LLM hosting, deep learning, Stable Diffusion image generation, video rendering and transcoding, 3D/CAD work, cloud gaming and scientific computing.
Which GPU should I choose for AI and LLMs?
For learning and small models, an RTX 5060 or RTX A4000 GPU VPS works well. For running 7B–32B LLMs and Stable Diffusion, choose the RTX 5090 or RTX A6000 (48 GB). For training and large models, choose the NVIDIA A100 or our multi-GPU 2 x RTX 5090 server. Our team will help you pick the right one.
What is the difference between a GPU VPS and a dedicated GPU server?
A GPU VPS gives you a dedicated GPU with virtualised CPU and RAM at a lower price, ideal for AI inference and development (Linux only). A dedicated GPU server gives you the whole physical machine, more RAM and storage, and supports Windows Server.
Is CUDA and PyTorch pre-installed?
Yes. You can choose Ubuntu 24.04 with PyTorch 2.8 and CUDA 12.8 pre-installed, so you can start training or running models immediately.
How fast is GPU server setup?
GPU servers are typically ready within 2–4 business hours after payment. Very high-end GPUs depend on availability, and we will confirm the timeline with you.
Can I get multiple GPUs, H100 or a custom configuration?
Yes. We offer multi-GPU servers (2–8 GPUs), NVIDIA H100, A100 80 GB, RTX A6000 and more on request. Use our custom quote form for the best price.
Do you provide GST invoices?
Yes. Prices are in Indian rupees, exclude 18% GST and include a GST invoice for input tax credit.