The Liquid Cube® hardware and computing complex features advanced liquid cooling technology.

We offer turnkey solution integration tailored to your technical requirements. Thanks to partnerships with leading domestic manufacturers of server and communications equipment, we can create comprehensive solutions that precisely match your individual needs.

Products

Solutions for office and EDGE

Office or decentralized solution.
A mobile server room with a modern design and silent operation, ready to solve a wide range of IT tasks without the need for a special room.

Data center solutions

LIQUID CUBE DATA CENTER. Groups of computing and communication systems with a single cooling circuit for any data center.

Container solutions

Mobile data center: fast, reliable and low maintenance.

Immersion cooling for any workload, anywhere

Moscow, st. 3rd Khoroshevskaya, 13

Number of units

Model

DS - 23

LIQUID CUBE® DATA CENTER. Groups of Computing and Communication Complexes with a Common Cooling Circuit

Equipment power (max)

L x W x H (mm)

Weight (max)

Floor load (max)

PUE

Temperature range

External cooling circuit

Number of units

23

Equipment power (max)

up to 25 kW

L x W x H (mm)

1200х900х1300

Weight (max)

1300 kg

Floor load (max)

up to 1100 kg/m2

Monitoring

Delivery time is 12 – 14 weeks from the date of signing the contract.

23

up to 25 kW

1200х900х1300

1300 kg

up to 1100 kg/m2

from 1.03 to 1.07

0°С… +40°С

Group common

LC 23U in a container

Model

CS

LIQUID CUBE® container data center

Number of units

Equipment power (max)

Container

External cooling circuit

Structural composition

LC 23U in container

up to 12

Equipment power (max)

up to 240 kW

Container

20 - 45 feet

External cooling circuit

With reservation

PUE

от 1.03 до 1.05

Monitoring

See previous slides

Delivery time is 20– 24 weeks from the date of signing the contract.

up to 12 systems

up to 276

up to 240 kW

20 - 45 feet

Redundant

Operator workstation, switching equipment, UPS, LC placement area, pumping station

Additional

Access control system, infrastructure

Power supply

PUE

from 1.03 to 1.05

Temperature range

-50°С...+60°С

Systems:

Security and fire alarms, fire extinguishing, ventilation and air conditioning, power distribution

Creating a distributed IT infrastructure using an immersion cooling system provides several important advantages:

Overall, the use of an immersion cooling system in a distributed IT infrastructure provides a reliable, efficient and flexible solution for processing data and providing services at distributed levels.

Model

10U

16U

LIQUID CUBE® OS Micro data centers designed for offices

Immersion cooling data center is an innovative solution that offers a number of advantages:

These benefits make immersion-cooled data centers an attractive solution for companies looking to optimize their IT infrastructures for efficiency, reliability and sustainability.

Model

DS - 23

LIQUID CUBE® DATA CENTER. Groups of Computing and Communication Complexes with a Common Cooling Circuit

Containerized data centers are becoming an increasingly advanced IT technology as they provide a number of benefits including mobility, efficient use of resources and the ability to scale quickly.

A number of strategies and technologies can be used to create a “fast, reliable and low-maintenance” container data center:

• Standardization and modularity: Development of containers and modular components for rapid assembly and scaling of the data center.

• Automation: Using automation tools to manage services, Diptychs and data center maintenance without the need for frequent interventions.

• Energy Optimization: Use efficient cooling systems, energy management and renewable energy to reduce economic costs and improve reliability.

• Redundancy Management: Implement redundant power, cooling and network systems to ensure uninterrupted operations and minimize failure risks.

• Monitoring and analytics: Implementation of Diptych and analytics systems to quickly identify problems and prevent dangerous failures.

• Security: Implement modern data protection and physical security to prevent security threats.

• Flexibility and Scalability: Create a structure that can quickly adapt to changing needs and scale with business growth.

Compliance with these restrictions will allow you to create a container data center that will have high performance, reliability and require a minimum level of maintenance.

Model

CS

LIQUID CUBE® container data center

1. Development and support of communication networks, including mobile communications, fixed-line communications and broadband Internet access.
2. Network infrastructure management, including routing, switching and quality of service.
3. Development and implementation of new technologies and standards, such as 5G, to increase the speed and capacity of networks.
4. Ensuring network cybersecurity and protection against cyber threats.
5. Development and implementation of communication services such as VoIP, video conferencing and cloud telephone systems.
6. Monitoring and analysis of network load and performance to optimize network performance.
7. Implementation of customer relationship management (CRM) systems to improve customer service and subscriber base management.
8. Development and operation of data centers and cloud platforms for data storage and processing.
9. Development and implementation of Internet of Things (IoT) services and machine learning to create innovative telecommunications solutions.
10. Conducting marketing research and data analysis to adapt services to the requirements of the market and consumers.

1. Automation of production processes
2. Equipment monitoring and maintenance
3. Supply chain management
4. Data analytics
5. Energy management
6. Digitalization of production
7. Safety and protection
8. Collection and analysis of quality data
9. Maintenance and repair management
10. Integration of systems and processes

1. Monitoring and management of production processes.
2. Forecasting and optimization of oil and gas production.
3. Well and drilling management.
4. Modeling and analysis of geological data.
5. Processing and analysis of geophysical data.
6. Monitoring and control of security processes.
7. Equipment and maintenance management.
8. Optimization of oil and gas transportation and storage.
9. Development and implementation of new mining and processing technologies.
10. Data analysis for decision making and risk management.

1. Natural Language Processing (NLP): Text analysis and generation, speech recognition and synthesis, machine translation.
2. Computer Vision: Object recognition, image detection and classification, segmentation of objects in images.
3. Medical diagnostics: Automatic analysis of medical images (X-ray, MRI, CT), diagnosis of diseases, prediction of treatment results.
4. Financial analytics: Forecasting market trends, analyzing financial data, managing risks and investment portfolio.
5. Automation of production: Optimization of production processes, predictive maintenance of equipment, product quality management.
6. Autonomous vehicles: Development and training of algorithms for controlling autonomous vehicles, recognizing road conditions and making decisions based on the data obtained.
7. Personalized recommendations: Analysis of user behavior, prediction of user preferences and needs, recommendation of content and products.

1. Scalability
2. Processing speed
3. Data storage
4. Analytics and processing
5. Security
6. Data integration

1. Monitoring and control equipment: collecting data from industrial equipment (e.g. machines, sensors, control devices) for diptychs of its condition and performance, as well as remote management and control.
2. Predictive maintenance: analyzing data to predict possible failures or malfunctions in equipment, which helps prevent accidents and reduce production downtime.
3. Optimization of production processes: using data to optimize workflows, improve efficiency and improve key production costs.
4. Improvement of product quality: Monitoring production parameters and product quality in order to eliminate defects and improve the quality of finished products.
5. Energy efficiency: using IIoT for Diptychs and optimizing energy consumption in production processes, which reduces energy costs and reduces the environmental burden.
6. Safety and safe production: Monitoring working conditions, detecting dangerous situations and emergency situations, and managing safety in an instant.
7. Supply Chain Management: Using manufacturing process data to optimize the supply chain and manage inventory, reducing downtime risks and improving materials.
8. Big Data Collection and Analysis: IIoT enables the collection and analysis of large volumes of data to identify patterns, trends and relationships in production processes.
9. Integration with cloud platforms: IIoT interaction with cloud platforms for storing, analyzing and processing data, as well as ensuring data scalability and availability.
10. Development of new business models: IIoT opens up new opportunities for the development of successful business models based on data collection and analysis, outcome-based service delivery and management.

1. Device management
2. Monitoring and control
3. Energy efficiency
4. Security
5. Comfort and convenience
6. Integration and extensibility
7. Personalization and automation
8. Monitoring health and condition

1. Entertainment and games: Creating immersive slots and entertainment content that immerse the user in virtual worlds or incorporate augmented reality into the original environment.
2. Education and training: Using VR/AR to create simulations and simulators that allow users to learn and train in various concepts such as medicine, aviation, military, etc.
3. Design and architecture: The ability to create virtual models of buildings, objects and interiors to visualize projects before their physical implementation, as well as to conduct virtual tours of objects.
4. Medicine and rehabilitation: The use of VR/AR in medicine for the diagnosis, treatment and rehabilitation of patients, for example, for psychotherapy, pain relief, recovery or after injury.
5. Marketing and Advertising: Creating interactive advertising campaigns and virtual tours of properties that help attract attention and interest potential customers.
6. Tourism and Travel: Providing circular excursions and tours to different places in the world, authorized users take into account attractions and cultural sites.
7. Product Design and Prototyping: Create virtual prototypes of products and designs for implementation and evaluation before physical production.
8. Collaboration and virtual conferences: Possibility of virtual collaboration and interaction in various types of activities, as well as holding virtual events and conferences.
9. Entertainment and cultural events: Creation of interactive exhibitions, concerts, parties and other events using VR/AR for participants and performances.
10. Augmented Reality for Business: Using AR to improve business operations, such as employee training, inventory management, or customer service.

1. Modeling and simulation of processes: Creation of virtual models of real objects, systems or processes for the purpose of analysis, optimization and simulation of their operation.
2. Monitoring and analytics: Using digital twins to monitor and analyze the performance of real objects in real time, which allows you to identify problems, predict failures and make operational decisions.
3. Virtual testing and simulation: Conduct virtual tests and experiments with digital twins to evaluate the performance, reliability and efficiency of systems before their physical implementation.
4. New Product Development and Design: Using digital twins to develop and design new products and systems to speed up the development process, reduce costs and improve product quality.
5. Process optimization and resource management: Analysis and optimization of the operation of real objects and systems based on data obtained from digital twins, which improves resource efficiency and reduces costs.
6. Machine learning and artificial intelligence training: Using digital twins to train and develop machine learning and artificial intelligence algorithms, resulting in more accurate and efficient models.
7. Decision support: Using digital twins to provide the information and analytics needed to make strategic and tactical decisions within an organization.
8. Service and maintenance: Using digital twins to provide services and maintain real objects and systems, which allows them to ensure their continuous operation and prevent possible failures.