What hardware do I need for an AI server in India?

A typical AI server stack includes: multi-core CPUs, one or more GPUs (e.g. NVIDIA-class accelerators), 128GB–2TB+ ECC server memory, NVMe enterprise SSDs, reliable power (UPS/PDU), and adequate cooling. Exact specs depend on model size and whether you train or only run inference.

Does Unihox sell complete AI servers or only components?

Unihox supports AI server projects via RFQ: we help source server memory, enterprise storage, GPU-related components and coordinate practical configurations. We also support electrical readiness (power, UPS, cabling) for on-prem AI labs and small data rooms.

How do I get an AI server quotation?

Share your target GPU model, RAM capacity, storage size, quantity and city. Call or WhatsApp 9005720282, or use Contact / Shop inquiry. Our team responds with availability and a practical quote based on current market supply.

AI training server vs inference server — what is the difference?

Training servers need more GPUs, higher memory bandwidth and longer runtimes to teach models. Inference servers run trained models for real-time answers and can be smaller, lower power and cost-optimized. Unihox helps you choose the right tier for your workload.

AI Infrastructure · India

AI Server for Training & Inference — GPU, Memory & Storage RFQ

Build or upgrade an AI server for machine learning, LLMs, computer vision and analytics. Unihox helps you source practical configurations — GPU compute, ECC server memory, enterprise storage — and get electrical readiness for on-prem AI labs across India.

WhatsApp AI Server RFQ Call +91 9005720282 Contact form

B2B RFQ · Brand-new components on request · Fast callback · Pan-India coordination

What is an AI Server?

An AI server is a purpose-built computer for artificial intelligence workloads. It runs model training, fine-tuning and inference much faster than a normal business server by combining multi-core CPUs with GPUs, large ECC RAM, and fast NVMe / enterprise storage.

Companies use AI servers for chatbots, recommendation engines, document AI, vision inspection, forecasting and R&D labs. Choosing the right AI server configuration (training vs inference) saves cost and avoids underpowered hardware.

AI Server Solutions We Support

GPU & Compute

Graphics / accelerator sourcing for AI training, fine-tuning and high-throughput inference projects.

Server Memory (ECC)

DDR4 / DDR5 RDIMM and enterprise memory supply for stable multi-GPU AI workloads.

Enterprise Storage

NVMe and enterprise SSD/HDD options for model checkpoints, datasets and fast data pipelines.

Power & Electrical Ready

UPS, cabling and electrical readiness support so your AI lab is safe and production-ready.

Who Needs an AI Server?

Startups & product teams — fine-tune LLMs and ship AI features without only relying on cloud GPU bills.
Enterprises & data teams — private inference for compliance, RAG, document AI and analytics.
Colleges & research labs — teaching and experimentation clusters with shared GPU nodes.
System integrators — complete stacks with memory, storage and power planning for client sites.

How to Request an AI Server Quote

1 Share GPU model preference, RAM (GB), storage size, quantity and city.
2 Tell us training vs inference, and timeline.
3 We check availability and send a practical RFQ response.
4 Optional: electrical / UPS readiness for your AI lab room.

AI Server Hardware in Shop Server Memory Graphics Cards / GPU Send WhatsApp RFQ

AI Server FAQ

What is an AI server?

An AI server is a high-performance computer built for AI training and inference — typically with GPUs, large ECC RAM, fast SSDs, and strong power/cooling — not a normal office PC.

What hardware goes into an AI server?

Multi-core CPU, GPU accelerators, DDR4/DDR5 ECC server memory, NVMe/enterprise SSD, reliable PSU/UPS, and cooling. Specs depend on model size and workload.

Can Unihox help me buy an AI server in India?

Yes via RFQ. Share GPU, RAM, storage and quantity — we check market availability and quote. We also support electrical setup for on-prem AI labs.

Training vs inference server — which do I need?

Training needs more GPUs and memory bandwidth. Inference can be lighter and cheaper for chatbots/APIs. Tell us your use case and we recommend a tier.

Ready for an AI Server RFQ?

Call +91 9005720282 or WhatsApp for GPU, memory and storage availability. Our team will call you shortly with next steps.

WhatsApp now Contact Unihox