nbm-it@mail.ru
Logo NBM-IT - website development studio
+7 (911) 814-86-78

Installing local AI on the company server

We deploy LLM and AI services inside a protected circuit or on rented GPU capacity.

We select the infrastructure for the load, configure the API, roles, logs, backup and secure update of models.

Select AI infrastructure

What is included in the local AI circuit

We don’t just install the model, we prepare it managed service for production.
The page is dedicated to the infrastructure and operation of models. If you need to search through corporate documents, we connect a separate RAG layer after preparing the main contour.
Infrastructure calculation
We evaluate VRAM, CPU, RAM, disks, network and load reserve.
LLM selection and optimization
We compare models, quantization and inference engines in terms of quality and speed.
Data inside the loop
We configure SSO, roles, network segmentation and auditing of calls to the model.
Production monitoring
We control availability, delay, queue, errors and resource consumption.
Reservation
We record versions, backups and a recovery scenario after a failure.
API and containerization
We deploy services in containers and connect them to company systems.
On-premCompany outline
GPUPower calculation
RBACRoles and accesses
24/7Service monitoring

How it goes deployment of local AI

We test the model and equipment in a pilot, after which we prepare a reproducible production configuration.

1

Audit of tasks and requirements

We define scenarios, number of users, acceptable latency, data sensitivity and availability requirements.
2

Testing models and calculating resources

We compare models using company examples and calculate the configuration of the server or rented GPUs.
3

Deployment of a pilot circuit

We configure the OS, drivers, containers, inference engine and closed API for testing under load.
4

Security and Integrations

We connect SSO and roles, limit the network, configure logs and connection to CRM, 1C or portal.
5

Production and fault tolerance

We add monitoring, alerts, backup, update regulations and a proven rollback script.
6

Transfer into operation

We prepare documentation, train responsible employees and support the system after launch.

AI projects with their own architecture and integrations

Examples of services for which we designed the backend, connecting models, APIs and working user scenarios.

Universal AI platform AI2Media

Universal AI platform AI2Media

AI2Media is an innovative cloud platform for automating the collection, analysis, generation and promotion of media content using artificial intelligence. Integration with WordPress, Bitrix, GPT, API for export, network of bots for auto-exporting.

Learn more →
AI analyzer of Yandex and 2GIS cards for lead growth

AI analyzer of Yandex and 2GIS cards for lead growth

A web application that parses company cards from Yandex.Maps and 2GIS, analyzes them using AI and produces a list of specific recommendations for improving visibility and conversion to applications.

Learn more →
AI agent for realtor of the agency “Everything for Rublyovka”

AI agent for realtor of the agency “Everything for Rublyovka”

AI assistant for Rublyovka realtors: generation of news, descriptions of objects, selections for clients, analysis of areas and creation of images for publications.

Learn more →

Local AI Loop Calculator

Preliminarily evaluate the work to deploy models, infrastructure, access and monitoring.

Total

Description:Internal AI assistant, Compact models 7-14B

Basic load

Planned load

Infrastructure

Model class

Operation and Integration

Total

Description:Internal AI assistant, Compact models 7-14B
Implementation team

Who's Deploying Local AI

The architecture, Python services and integrations are led by the specialists needed to launch and operate the AI circuit.

AI / ARCHITECT
Vadim Yurievich
Vadim Yurievich
AI Solutions Architect
AI / ML
Makar Kucherenko
Makar Kucherenko
Python/ML Developer
INTEGRATION
Victoria Smirnova
Victoria Smirnova
Integration Developer
You can assemble exactly the team needed for your project into a project.

Frequently asked questions about local AI

This is a language model or other AI service that runs on a company server or in a dedicated private loop. Requests and data are not sent to a public service without an agreed upon schema.
The configuration depends on the model size, context length, number of concurrent requests, and required speed. Before purchasing equipment, we test the model and calculate VRAM, RAM, CPU, disks and network.
Yes, as long as it passes compatibility and performance tests. If there is a shortage of resources, you can apply quantization, divide services, or transfer part of the load to rented GPUs.
The choice depends on the license and the task. We work with suitable open-source models from the Qwen, Llama, Mistral, Gemma and other families, first comparing the quality using project data.
Internet access is not required for regular inference. Updates to models and dependencies can be carried out through a controlled internal repository and approved regulations.
Having your own server is convenient for stable loads and strict data requirements. Renting is faster for the pilot and does not require capital expenditure. The hybrid option allows you to keep data internally, and scale part of the calculations in the cloud.
Pilot deployment work usually starts at 280,000 rubles, excluding the cost of equipment and cloud resources. The result depends on the load, models, integrations and fault tolerance requirements.
We set up versioning, monitoring, backup and rollback procedures. Support can be provided by our team or the customer’s specialists based on the submitted documentation.

Leave your contacts - we will call you back, sort out the problem and offer the best way. We have more than 350 projects behind us, each of which we launched with an individual approach. We guarantee expert advice during business hours.

Contact information and details

We are for open communication.

Our team consists of experienced and proven employees. And therefore NBM-IT can guarantee you a high-quality result.

Saint Petersburg

m. Chkalovskaya,
st. Professora Kachalova, 11B

+7 (911) 814-86-78
on the map

Tampa, FL, US

12125,Lexington Park Drive, Tampa, FL

813-291-56-77
Antony

nbm-it@mail.ru

Services

Development

Corporate websites

Development on 1C-Bitrix

WordPress development

Online stores

Web Applications

Backend and highload

Services

Priority directions

CRM development

SEO promotion

Implementation of AI

RAG and knowledge bases

Touch panel software

Touch panel rental

About us

About us

Blog

Solutions catalog

Website Tools

Processing Policy
personal data

Partnership

Portfolio

Contacts