GenBox
High-performance hardware-software systems and server stations for enterprise tasks and ML computing
GenBox
The GenBox lab moves companies away from renting third-party cloud capacity towards building a sovereign computing infrastructure. We design and supply mobile, high-performance GPU server stations optimised for neural-network training, inference and resource-intensive ML tasks. Direct OEM contracts with leading component manufacturers in China and our own engineering centre in Moscow let us ship directly from stock, offer flexible financial instruments (leasing, instalments), customise configurations to the client’s budget and provide full SLA service.
What's inside
Direct OEM supply
Direct access to an advanced component base and high-performance graphics processors straight from leading Asian manufacturers, with no middlemen.
In-house engineering centre
Assembly, comprehensive load testing and pre-installation of MLOps platforms at our own production facility in Moscow.
Optimisation of financial flows
Flexible financing programs (targeted leasing, instalments) adapted to the client’s cash flow.
Comprehensive SLA service
Official warranty obligations, continuous equipment monitoring and round-the-clock technical support (24/7).
Why it works
Minimised upfront CAPEX
Thanks to instalment and flexible leasing programs, you receive a ready, configured server system for use right away, removing the need for large one-off capital costs at the start of the project.
Placement flexibility
The architecture of GenBox stations lets you run them in ordinary office or domestic spaces — without renting racks in commercial data centres (Colocation) and without costly server rooms with precision air conditioning.
IT outsourcing and OpEx optimisation
At the client’s request, Genla takes on the infrastructure and technical support of the equipment: from hosting the stations at our verified sites (colocation) to remote DevOps and MLOps administration under a single service contract.
Infrastructure autonomy
Full independence from the tariffs, limitations and risks of external cloud providers. Compute resources are localised under your control.
Predictable and reduced TCO
An on-premise compute loop of your own provides a transparent cost of ownership and pays off significantly faster than continuously renting third-party GPU capacity.
Flexible upgrade and buyout
Terms are provided for a phased buyout of the equipment and programs for upgrading the component base as the scale of your AI models grows.
How it is used
Training and high-load inference
Deployment of hardware capacity for continuous fine-tuning of large language models, inference and execution of distributed ML tasks.
Corporate on-premise AI
Building a sovereign on-premise infrastructure for the secure processing of Big Data within the client’s protected perimeter.
Frequently asked questions
Is acquisition through financial instruments available?
How are warranty obligations governed?
What tasks is the architecture designed for?
* Information disclaimer: all technical configurations, leasing, instalment and upgrade terms, and the cost of the GenBox lab’s hardware-software systems are calculated individually for the project parameters, do not constitute a public offer (Art. 437 of the Civil Code of the Russian Federation) and are fixed solely in the specifications attached to bilateral supply and service agreements. The equipment configurations shown are basic reference models.
Shall we discuss your project?
High-performance hardware-software systems and server stations for enterprise tasks and ML computing.
The information on this website is for informational purposes only, reflects the results of specific integration projects and does not constitute a public offer as defined by Article 437 of the Civil Code of the Russian Federation. All calculations, partner-program terms and economic indicators are individual for each project and are fixed solely in bilateral agreements.