Infrastructure & applied AI

Server infrastructure, specified by engineers who also build the AI that runs on it.

We are an official HPE and Lenovo partner, and we build the agentic AI systems teams run on top of it. One team sizes the machine and writes the software, which is why the machine fits the workload.

Server racks in a datacentre

What we deploy

Four hardware lines, specified against the workload

The differentiator

Engineers who build AI workloads specify better infrastructure.

We run our own agentic AI practice on the same GPU systems we deploy for clients, which means the sizing recommendation comes from a team that has to live with it, not a spec sheet.

See the AI practice

Process

How we work

01

Understand the workload

We start with what the systems actually need to run — applications, users, growth, and any AI workloads on the roadmap — not a catalogue page.

02

Specify and source

A configuration sized to that workload, drawn from HPE ProLiant, Lenovo ThinkSystem, storage and networking, then sourced and priced.

03

Deploy and support

Installation, cabling, and handover, with the team that specified the system standing behind it afterwards.

Company

Founded 2018 in Bengaluru.

Arubi Technologies has supplied and deployed enterprise infrastructure since 2018, and builds the agentic AI systems that run on it.

About the company

Tell us what the workload is.

Send the shape of the problem — users, applications, growth, timeline — and we will come back with a specification and a price, not a brochure.