🚀 NVIDIA POWERED GPU SERVERS

High-Performance GPU Servers

Accelerate your AI, machine learning, and high-performance computing workloads with our NVIDIA-powered GPU servers. From development to production scale.

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Instant Setup
24/7 Support
CUDA Ready
NVIDIA RTX 4090
CUDA 12.0
Memory
24GB GDDR6X
Cores
16,384 CUDA
Bandwidth
1008 GB/s
RT Cores
128 Gen 3
GPU Usage 87%
Memory 12.4GB
Temperature 72°C
💎 GPU SERVER BENEFITS

Accelerate Your Workloads

Experience unprecedented performance with our GPU servers designed for AI, machine learning, rendering, and high-performance computing.

NVIDIA Powered Performance

Latest NVIDIA GPUs with CUDA support deliver unmatched performance for AI, ML, and high-performance computing workloads

Up to 100x faster than CPU

AI/ML Optimized Environment

Pre-configured with TensorFlow, PyTorch, CUDA toolkit, and popular ML frameworks for immediate productivity

50+ pre-installed tools

Instant Deployment

Deploy GPU servers in under 60 seconds with pre-built images and automated setup processes

<60 second deployment

Scalable Architecture

Scale from single GPU development to multi-node clusters for enterprise-grade AI training and inference

Scale to 1000+ GPUs
🖥️ GPU SERVER PLANS

Choose Your GPU Configuration

From entry-level development to enterprise-grade AI training, find the perfect GPU server for your needs.

Prices shown in:
₹ INR
Top Performace

GPU 4000

NVIDIA GPU
₹8,500.00 /month
FREE Setup & Migration
Performance Score 85/100
4 vCPU
6GB RAM
50 GB nvme
10000 GB
GPU Memory: 8GB
CUDA Cores: N/A
Tensor Cores: N/A
Basic DDoS Protection
Basic DDoS Protection
Perfect For:
AI Development Machine Learning Deep Learning GPU Computing
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⚡ AVAILABLE ADDONS

Enhance Your GPU Server

Customize your GPU server with additional resources and services to meet your specific requirements.

Additional GPU Card

Add extra GPU for multi-GPU setups and parallel processing

2x Processing Power
Parallel Training
Multi-Model Inference
₹8,999.00 /month
Compatible with: All Enterprise and Professional plans

Enhanced Storage

Add 2TB high-speed NVMe SSD storage for large datasets

Faster Data Access
Large Dataset Storage
Better I/O Performance
₹2,999.00 /month
Compatible with: All plans

Memory Upgrade

Double your system RAM for larger model training

Larger Model Support
Faster Processing
Multiple Workloads
₹1,999.00 /month
Compatible with: All plans

Memory Upgrade

Double your system RAM for larger model training

Larger Model Support
Faster Processing
Multiple Workloads
₹1,999.00 /month
Compatible with: All plans
💡 WHAT WE PROVIDE

Everything You Need for GPU Computing

Latest NVIDIA GPU Hardware

From GTX 1660 Ti to professional A100 and H100 cards, supporting every workload from development to production

RTX Series with Ray Tracing Professional A-series cards

Pre-installed ML Frameworks

TensorFlow, PyTorch, CUDA toolkit, cuDNN, and Jupyter notebooks ready to use out of the box

TensorFlow 2.x PyTorch 2.x
gpu_training.py
import torch
import torch.nn as nn
import torchvision
from transformers import AutoModel
# Check GPU availability
device = 'cuda' if torch.cuda.is_available() else 'cpu'
print(f"Using device: {device}")
# Initialize model on GPU
model = AutoModel.from_pretrained('bert-base-uncased')
model.to(device)
# Training loop with GPU acceleration
for epoch in range(100):
for batch in dataloader:
inputs = batch.to(device)
outputs = model(inputs)
loss.backward()
# Monitor GPU usage
gpu_memory = torch.cuda.memory_allocated()
print(f"GPU Memory: {gpu_memory/1e9:.2f}GB")
# Performance monitoring
print("GPU Utilization: 87%")
print("Temperature: 72°C")
print("Training completed successfully!")
❓ FREQUENTLY ASKED QUESTIONS

GPU Server FAQ

Get answers to common questions about our GPU hosting services.

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