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AI Hardware · On-Premise

On-premise AI server for Indian businesses.

An on-premise AI server that lets Indian businesses run LLMs, RAG systems, and AI models on their own hardware — inside their own data centre or server room. DPDP Act compliant, zero cloud dependency, and full data sovereignty. GPU servers configured, delivered, and deployed by Velozity from ₹12 Lakhs.

Who it is for

Who needs an on-premise AI server in India.

  • Banks and financial institutions with data localisation requirements
  • Hospitals handling patient data under DPDP Act
  • Government organisations needing air-gapped AI
  • Manufacturing companies processing proprietary data with AI
  • Law firms and enterprises needing confidential document AI
The problem

Why Indian businesses deploy AI on-premise.

Sensitive data cannot go to the cloud

Banking transaction data, patient records, legal documents, and government files must stay within your network. Public AI APIs like OpenAI send data to external servers — a compliance violation waiting to happen.

Cloud AI costs are unpredictable at scale

You spend ₹50,000-2,00,000/month on OpenAI or Azure AI APIs. Costs scale linearly with usage. At 10,000+ queries per day, on-premise is 60-70% cheaper over 2 years.

Setting up GPU servers is complex

Buying NVIDIA GPUs, configuring CUDA drivers, deploying models, and managing inference servers requires specialized expertise. Most IT teams have never done this.

Features

On-premise AI server India — what you get.

Pre-configured GPU servers

NVIDIA GPU servers (A100, L40S, RTX 4090) configured with CUDA, Docker, and inference frameworks. Plug in, power on, and run AI — no GPU engineering needed.

Pre-loaded AI models

Llama 3.1, Mistral, Phi-3, and embedding models pre-installed and tested. RAG pipeline with vector database ready to use. Custom models can be added.

Full data sovereignty

Your data never leaves your premises. No internet connection required for inference. Air-gapped deployment available for defence and government clients.

API-compatible interface

OpenAI-compatible API endpoint. Your existing applications work with on-premise AI by changing one URL. No code changes needed.

Monitoring and management

GPU utilisation, model performance, query latency, and error rate dashboards. Alerts for hardware issues, model degradation, and capacity limits.

DPDP Act and compliance

Full compliance with India's Digital Personal Data Protection Act. Audit logs, access controls, and data lineage tracking. Suitable for RBI, SEBI, and HIPAA workloads.

How it works

From order to running AI in 4 weeks.

01

Requirements assessment

We assess your AI use cases, data volume, query load, and latency requirements. Recommend the right GPU configuration and model selection.

02

Hardware procurement and setup

We procure, configure, and test the GPU server. Pre-load your selected AI models. Typical lead time: 2-3 weeks.

03

On-site deployment

We deploy the server in your data centre or server room. Configure networking, security, and API endpoints. Train your IT team on management.

04

Integration and go-live

Connect your applications to the on-premise AI API. Migrate from cloud AI to on-premise. Validate performance and accuracy.

Pricing

On-premise AI server pricing in India.

Starter Server

₹12-20 LakhsRTX 4090 / L40S

Single GPU server for small-medium AI workloads.

  • NVIDIA RTX 4090 or L40S GPU
  • 64GB+ RAM, 2TB NVMe
  • Pre-loaded LLM (Llama/Mistral)
  • RAG pipeline with vector DB
  • OpenAI-compatible API
  • On-site deployment
  • 6-month support

Enterprise Server

₹30-60 LakhsA100 / multi-GPU

Multi-GPU server for large models and high throughput.

  • Everything in Starter
  • NVIDIA A100 80GB (1-4 GPUs)
  • 256GB+ RAM
  • Multiple models simultaneously
  • High-availability configuration
  • Custom model fine-tuning
  • 12-month support

AI Cluster

₹60L-2 CroreMulti-server cluster

Multi-server GPU cluster for enterprise-scale AI.

  • Everything in Enterprise
  • Multi-server orchestration
  • Load balancing and failover
  • Custom training infrastructure
  • Air-gapped deployment
  • Dedicated support engineer
  • SLA guarantee
Comparison

On-premise AI server vs cloud AI APIs.

FeatureVelozityTypical alternatives
Data sovereigntyYour data stays on your premisesData goes to cloud provider
Recurring costZero API fees after purchase₹50K-2L/month in API costs
Setup complexityPre-configured, plug and playDIY GPU + CUDA + model setup
Model flexibilityLlama, Mistral, custom modelsLocked to provider models
ComplianceDPDP Act, RBI, air-gappedShared cloud infrastructure
India supportOn-site from Chennai teamRemote ticket-based support
Proof

Real results.

Running private AI for banks and hospitals

Our on-premise AI servers run LLMs and document processing AI for financial institutions and healthcare organisations across India. Zero data breaches. Average query latency: under 500ms. 99.9% uptime.

Read the case study
FAQ

On-premise AI server India — FAQs.

What GPU do I need for running LLMs?+

For 7-13B parameter models (Llama 3.1 8B, Mistral 7B): NVIDIA RTX 4090 or L40S. For 70B+ models: NVIDIA A100 80GB. For multiple large models: multi-GPU A100 setup. We recommend based on your specific use case.

Can I run it without internet?+

Yes. Air-gapped deployment available. All models run locally. No internet needed for inference. Updates can be applied via USB.

Is it compatible with OpenAI API?+

Yes. Our inference server exposes an OpenAI-compatible API. Your existing code that uses OpenAI API works by changing the endpoint URL. No other code changes.

What about hardware warranty and support?+

Hardware comes with manufacturer warranty (3-5 years). We provide software support, model updates, and on-site maintenance for the support period included in your plan.

Can I fine-tune models on this server?+

Yes, on Enterprise and Cluster plans. We provide fine-tuning pipelines and can assist with training on your data. Starter servers are optimised for inference.

How much power does it consume?+

Starter server: 400-600W. Enterprise server: 1,500-3,000W. We provide power and cooling requirements during the assessment phase.

A conversation is a good place to start

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