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Solutions · IT infrastructure

Data center servers and storage

We select servers and storage for real workloads — databases, VDI, contact centers, Big Data and AI — and take responsibility for them from sizing to support.

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Challenges we address

  • Databases, VDI and analytics are short on CPU and storage performance
  • Data is outgrowing your current storage systems
  • Servers and storage are outdated and must be replaced without service downtime
  • You need to compare vendors and get a well-justified specification for procurement

What we do

  1. x86 servers

    For databases, VDI, contact centers and Big Data — configured for the workload profile.

  2. GPU servers

    Platforms for model training and inference and for on-premises LLMs.

  3. All-flash and hybrid storage

    All-flash NVMe for mission-critical databases, hybrid arrays for capacity-heavy data.

  4. S3 object storage

    S3-compatible storage for large volumes of unstructured data.

  5. Sizing and vendor selection

    We size compute, memory and capacity from real statistics, compare vendors and prepare procurement specifications.

  6. Supply and support

    Import and logistics, installation and commissioning, vendor support and 24/7/365 service.

Vendors we work with

Projects

All projects
Data · Analytics

Big Data infrastructure

Challenge
Prepare a compute and storage platform for analytics, anti-fraud and credit scoring, with room for data growth.
What we did
We designed and expanded the platform: sizing based on actual data growth, host redundancy and all-flash storage.
Result

An analytics platform with spare capacity and no single point of failure.

AI · GPU

GPU-based AI infrastructure

Challenge
Gain in-house compute for training, inference and local LLMs without sending data to public clouds.
What we did
We select a GPU platform for the customer’s use cases: we size compute, memory, storage and networking, supply and commission the servers, and prepare the environment for running models.
Result

In-house AI capacity inside the perimeter: data never leaves for public clouds.

Related publications

All publications
Issue 01Data infrastructure

Hardware for BigData

Where the array belongs, where local disks belong, and where virtualization shouldn't happen at all. A breakdown of three forks that shape the architecture and budget of a data platform.

Read the issueIssue 06Data infrastructure

Four ages

How much support to buy up front, why keep spare parts under an active contract, how to tell that hardware can no longer be trusted one hundred percent, and when replacement turns out cheaper than renewal.

Read the issueIssue 08Data infrastructure

Lines and cores

A customer picks an application system and sees one line in the budget. They end up paying for four. A case study: a sizing dispute that nearly quadrupled a three-year licensing subscription, and the measurement that settled it eighteen months later.

Read the issue

Questions and answers

Can servers and storage be sized for an actual workload rather than generic specs?
Yes, server and storage configurations are sized from actual workload statistics — for databases, VDI, contact centers, Big Data and AI — rather than average parameters.
Which server and storage vendors do you work with?
We work with Lenovo, Dell Technologies, Hitachi Vantara, Everpure, H3C and IEIT Systems, comparing their solutions before procurement.
What is the difference between all-flash and hybrid storage?
All-flash NVMe is used for mission-critical databases where speed matters, while hybrid arrays suit capacity-heavy data where storage volume matters more.
Do you have experience sizing infrastructure for Big Data and AI workloads?
Yes, for example the Big Data platform was sized from actual data growth with host redundancy and all-flash storage, while the AI infrastructure on GPU project selected a platform for training, inference and on-premises LLMs.
Our approach

The full cycle under one roof

  1. Audit and assessment

    Inventory, workload analysis, IT and security risk assessment

  2. Design

    Architecture, sizing, vendor comparison, procurement specifications

  3. Supply

    Hardware and licenses from 35+ vendors, import and logistics

  4. Deployment and migration

    Commissioning, zero-downtime data and system migration, acceptance testing

  5. Training

    Knowledge transfer to your IT team, courses on databases, security and AI

  6. 24/7/365 support

    SLAs, monitoring, updates, vendor support

One team owns the project from assessment to day-to-day operations — no gaps in accountability between the supplier, the integrator and the service provider.

Discuss your project

Let’s find the right servers and storage for your workload

Tell us about your systems and data growth — we will size the configuration and propose options from different vendors.

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