Server Type 4 of 8 — AI / GPU
AI GPU Server Setup
GPU-ready servers for AI models, chatbots, and inference. Pre-installed with CUDA, PyTorch, and model runners. Save 90% vs OpenAI API.
AI Server Features
Complete AI infrastructure — from GPU drivers to model deployment.
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AI Model Hosting
Host LLMs, image models, speech models on your GPU.
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Chatbot Deployment
Run Llama, Mistral, Qwen and custom chatbots.
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CUDA Ready
Pre-installed NVIDIA drivers, CUDA 12.x, cuDNN.
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PyTorch & TensorFlow
Both frameworks installed with GPU support.
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Docker + GPU
Run GPU-enabled containers with nvidia-docker.
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Inference Servers
vLLM, TGI, Ollama for high-throughput inference.
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GPU Monitoring
nvidia-smi, DCGM, Grafana dashboards.
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Multi-Tenant
Split GPU across multiple clients securely.
💰 Business Impact
Save ₹1.5 lakh+/month vs OpenAI API. Host unlimited AI without token costs.
Sell AI as a service — ₹5,000-50,000/month per client for GPU hosting.
Hardware Requirements
- NVIDIA GPU: RTX 3090, 4090, A100, H100
- Minimum 16GB GPU VRAM per AI instance
- Recommended 32GB+ VRAM for production LLMs
- 64-256GB system RAM
- NVMe SSD for fast model loading
- 10GbE network for distributed training
- 1000W+ PSU, proper cooling
- PCIe 4.0/5.0 for max GPU bandwidth
AI Server Benefits
- No per-token cost — unlimited AI usage
- Data privacy — models never leave your server
- Low latency — GPU on-premises
- Fine-tune models on your data
- Run multiple AI apps simultaneously
- Sell AI chatbot, image generation, voice AI
- Compliance-ready — data residency in India
- Scale horizontally by adding GPUs