Datakom solutions Datakom products AI Datacenter Engineers

AI Datacenter Engineers

AI Datacenter Engineers designs, builds, and maintains private AI infrastructures, ensuring data sovereignty, GPU availability and superior performance.

WHY

are companies switching to private AI infrastructure?

Companies are increasingly opting for a private AI data center

Data security and sovereignty requirements are growing rapidly.

Public clouds lack GPU resources, often wait in queues.

AI in the cloud is becoming expensive and difficult to control.

NIS2, GDPR limit the transfer of data outside the country or clouds.

AI projects get stuck due to infrastructure capacity and availability.

A private AI Data Center solves all these problems in one solution.

HOW DO YOU UNDERSTAND that...

your AI infrastructure is no longer keeping up?

If something from this fits — the problem has already begun.

Data security requirements hinder the development of project AI design.

GPUs only available in line / after waiting or at under capacity.

Training costs for AI models are growing faster than planned.

Developer teams cannot fully test models.

There is no way to quickly experiment with different open-source models.

What happens if AI problems are not resolved?

The company lags behind competitors who use AI faster.

AI projects get stuck in the pilot stage for too long.

The speed of innovation and development is decreasing.

There is a risk of compromising or losing data in the public cloud.

Employees use public AI tools and accidentally leak sensitive data.

BEFORE / AFTER

Worry Free IT: Security PRO is ideal if the company

Criterion

Before

Public cloud

After

Private AI datacenter

Cost

Volatile, difficult to predict

Fixed and transparent

GPU availability

Deficit, queues

Local, guaranteed availability

Security

Depends on the service

Full perimeter protection

Data control

Data outside the country

100% local sovereignty

Compliance

Complicated to provide

Full nis2 / GDPR

Availability

Sharing with others

Dedicated infrastructure 24/7

our promise-secure, powerful and scalable AI infrastructure

What do you get?

4-6 weeks

our AI infrastructure, built and ready

100% data

100% data control and compliance with regulations

GPU clusters

dedicated enterprise GPUs, no waiting

optimization

low latency and maximum performance

END-TO-END

full cycle: 
Design → Build → Operate

Predictable

Clear pricing. No surprises.

who is a private AI data center suitable for?

Sectoral groups that need AI datacenter the most

Banks and FinTech

Public sector and municipalities

Manufacturing / industrial enterprises

Large and medium Enterprise enterprises

how our model works

1. Design

AI architecture development

Cluster Architecture and GPU selection
Data flow & security policy
Integration with the existing IT environment
Space / power / cooling requirements
Compliance with nis2, GDPR, industry regulations

2. Build

Creation in 4-6 weeks

Installation of servers, GPU nodes, network and storage
Implementation of security systems
NVIDIA, OpenShift, Nutanix, HPC technologies
Full testing and commissioning

3. Operate

Constant security and maintenance

Security management
24/7 monitoring
Updates and performance optimization
Model deployment and MLOps management

Values That Define Us

Built on 30 years of experience, our culture reflects our commitment to excellence, innovation, and human connection.

Mind – our Strength and Responsibility

We research, develop, and experiment, and most importantly – we apply the results we gain in the right place and at the right time.

The Energy of Being First

The pursuit of new knowledge creates a circulation of positive energy in the world. We keep up with change and continuously move forward, even when it seems that the highest peak has already been reached.

Balance Between Technology and Humanity

It is important not only to strive toward a goal, but also to see the bigger picture – even if that means pausing for a moment. What matters to us are not only technical aspects, but also human, business, and environmental considerations.

customer responsibilities-simple and transparent

Before the project:

Existing infrastructure scheme
Room parameters
AI scenarios / goals

During the project:

Cooperation in testing
Answers to integration questions

After the project:

Datakom provides full service and 24/7 monitoring

Why choose Datakom AI?

Expertise in niche AI projects

Latvian language models
Sectoral data (finance, state, production)
Multimodal, RAG models

Multitechnology competence

NVIDIA AI & GPU clusters
RedHat OpenShift, Nutanix, HPC
IBM watsonx.ai

Top-level data sovereignty

All data remains within the company or state
Strict security zoning and network segmentation

Maximum performance

Very low latency
Fast inferencing
Optimized GPU nodes

Predictable costs

Transparent model of the month
Without soaring cloud bills

Full IT security

RMM, EDR, MDR, SIEM
Dark Web monitoring
Phishing training

3 unique expert tips

Built on 30 years of experience, our culture reflects our commitment to excellence, innovation, and human connection.

Design security along with Solution Architecture

Collect data which you will use in AI solution

Never start an AI project without a data flow scheme

FREQUENTLY ASKED QUESTIONS (FAQ)

Is SOC only necessary for large companies?

No. SOC is increasingly used by small and medium-sized companies, especially if they manage critical data, depend on IT systems, or must comply with NIS2, GDPR, ISO 27001, or industry regulations.

Does SOC replace antivirus or email security?

No. SOC = detection + response. Antivirus and email filtering are basic hygiene.

Does SOC only detect internet-based attacks?

No. SOC monitors network traffic, endpoints, cloud environments, user behavior, private infrastructure, and SaaS systems.

How fast does SOC respond to an incident?

Within 10–20 minutes, depending on criticality.

Do I need an internal security team?

No — SOC replaces internal 24/7 security monitoring.

How does SOC support NIS2 compliance?

SOC ensures continuous monitoring, incident logging, reporting, and risk monitoring — the required elements for NIS2 compliance. This helps demonstrate compliance during audits.

How long does SOC implementation take?

Typically 4–6 weeks.