What is on-premise or local AI?

On-premise AI is a deployment model where artificial intelligence systems run on the company own servers, rather than in the cloud. This ensures that data never leaves your infrastructure, offering maximum control and privacy.

Why choose local AI instead of cloud?

80% of companies prefer on-premise AI for three main reasons: 1) Total privacy - your data never leaves your network, 2) Regulatory compliance - GDPR, HIPAA, SOC2 made simpler, 3) Predictable costs - up to 90% less than cloud APIs at scale.

What hardware do I need for on-premise AI?

Neural Fabrik offers pre-configured equipment from NVIDIA and PCSpecialist optimized for enterprise AI. For small businesses, a server with RTX 4090 GPU is sufficient. For larger workloads, we offer clusters with A100/H100 GPUs.

How does local AI help with GDPR compliance?

With on-premise AI, personal data never leaves your infrastructure, eliminating risks of international transfers. This dramatically simplifies GDPR compliance, as you have complete control over data processing and storage.

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80% of companies prefer on-premise AI

Your AI, Your Servers, Your Data

Deploy enterprise artificial intelligence on your own infrastructure. Total privacy, guaranteed GDPR compliance, and up to 90% less cost than cloud solutions.

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Did you know? Every time you send data to a cloud AI, that data can be used to train third-party models. With Neural Fabrik Local AI, this doesn't happen.

Why On-Premise AI?

80% of companies are moving their AI workloads to their own infrastructure. These are the reasons.

Total Privacy

Your data never leaves your network. Zero exposure to third parties.

Simplified GDPR

Easier regulatory compliance without international transfers.

90% Less Cost

At scale, cost per inference is dramatically lower than cloud APIs.

Low Latency

Millisecond responses when running on your local network.

No Dependencies

Your AI works even if internet fails. Zero vendor lock-in.

Data Sovereignty

Your data, your models, your control. Always.

Cloud vs On-Premise

Objective comparison so you can make the best decision

Feature

Cloud

On-Premise

Data location

Third-party servers (USA, Ireland...)

Your own servers

GDPR compliance

Complex (international transfers)

Simple (data in EU)

Monthly cost (at scale)

Variable, can spike

Fixed and predictable

Latency

100-500ms typical

<10ms on local network

Initial investment

Low

Medium (hardware)

Full control

Limited to APIs

Complete

How It Works

Professional implementation in less than 1 week

Initial Assessment

We analyze your needs, data volumes, and regulatory requirements.

Optimal Hardware

We recommend NVIDIA/PCSpecialist equipment based on your workloads.

Installation

We deploy Neural Fabrik with pre-configured agents on your infrastructure.

Integration

We connect with your existing systems (CRM, ERP, databases).

Production

We activate 24/7 monitoring and continuous support.

Ready to Take Back Control of Your Data?

Schedule a free consultation and discover how to implement on-premise AI in your company.

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