TRcompute / Computing infrastructure

GPU servers.
Supply & rental.

The hardware your project needs, with the details worked out. GPU server procurement, project-based rental and infrastructure planning from Kaunas, Lithuania.

Interior of a Supermicro CPU blade server, shown as a reference photograph of server hardware A closer look at the hardware
Server hardware · Reference photographD. Nosachev / CC BY-SA 4.0 · cropped
Based in Kaunas, LithuaniaOperated by UAB Transrida InotechCompany details

Equipment & configuration

The whole system.
Every component considered.

Accelerators are one part of the specification. CPU, memory, storage, network and site requirements belong in the same discussion.

View example configurations
Hardware categories and specification details
GPU computeGPU model and count, memory per GPU, interconnect and chassis compatibility.
Server platformsProcessor, system memory, rack format, power and cooling requirements.
StorageWorking datasets, usable capacity, throughput and data protection requirements.
NetworkingNetwork interfaces, switches, cabling and links between compute nodes.

Final part numbers, availability, warranty and delivery terms are specified in the quotation.

Projects in practice

What a useful brief
looks like.

Two illustrative project scenarios showing how a requirement becomes a hardware discussion. These are planning examples, not completed customer projects.

01 / Illustrative project · Supply

An inference server for an internal AI application.

A software team wants a dedicated environment for a document assistant. The brief calls for local model serving and integration with the company’s existing network.

Starting brief
1 GPU with 48 GB memory, 128 GB system RAM and 2 × 1.92 TB NVMe drives.
To validate
Model size and precision, concurrent users, response-time target and usable storage.
Proposal scope
Compatible server platform, exact components, delivery terms and applicable warranty.
Discuss a similar requirement
02 / Illustrative project · Rental

A defined training window with dedicated GPU capacity.

A research team needs additional capacity for a six-week fine-tuning study. Its existing infrastructure will continue to handle data preparation and evaluation.

Starting brief
4 GPUs with 80 GB memory each, 512 GB system RAM and fast local working storage.
To validate
Framework, GPU topology, dataset transfer, training method and project start date.
Proposal scope
Available capacity, rental period, access method, location and support responsibilities.
Discuss a rental project

Working together

A clear path to procurement.

Agree the equipment and responsibilities before committing to an order.

01 / BRIEF

Start with the requirement.

Share your workload or equipment list, quantities, destination and target date. Attach a specification if you have one.

02 / PROPOSAL

Review the details.

Discuss the configuration, availability, price, warranty and delivery assumptions. Agree any installation or support scope separately.

03 / COORDINATION

Plan the delivery.

Confirm the order and handover requirements. Coordinate supply against the agreed terms and project responsibilities.

About TRcompute

A business you can
put a name to.

TRcompute is operated by UAB Transrida Inotech, based in Kaunas, Lithuania. We work with technical and procurement teams on server supply, GPU rental enquiries and computing infrastructure planning.

About the company

Tell us what you need to run.

A specification, a workload or a short project brief is enough to start.

Send your requirements