KAYTUS announced the launch of its high-density air-cooled AI
compute containerized cabinets, the EVOLEEN-I5000s. Purpose-built for AI
applications, the EVOLEEN-I5000s delivers 6x higher computing density
compared to traditional air-cooled cabinets. Supporting up to 50 kW of
heat dissipation and achieving 25% energy savings, this innovative
solution is poised to significantly enhance the efficiency of
next-generation air-cooled AI data centers.
Modern AI datacenters are characterized by high-density deployments to
unleash immense compute power. As demand for AI applications has surged,
efficient thermal management that balances heat dissipation and high
density has become essential. This growing need has driven the upgrade
of existing data centers for AI adaptation, while newly built air-cooled
datacenters must also be equipped to meet these stringent requirements.
Furthermore, many countries are imposing regulations for
environmentally friendly operations, making the construction of
low-carbon-footprint datacenters a top priority for the industry.
In response to evolving industry trends, KAYTUS has launched the
EVOLEEN-I5000s, a next-generation containerized computing infrastructure
specifically designed for AI applications. These high-density,
air-cooled AI compute cabinets offer exceptional computing power density
and energy efficiency within a modular architecture. Compatible with
mainstream CPUs and heterogeneous accelerators, it seamlessly integrates
computing, storage, and networking functions into a single unit. Each
cabinet supports 20-50kW of power, meeting up to 80% of computing and
networking demands. Moreover, it is equipped with power distribution,
UPS, cooling, monitoring, and fire protection systems, enabling
efficient and streamlined data center construction. Engineered for
modularity, efficiency, optimization, and intelligent management, the
EVOLEEN-I5000s supports a broad spectrum of applications, including
autonomous driving, biopharmaceuticals, GenAI, and smart manufacturing.
High Density, High Energy Efficiency, Rapid Delivery, and Intelligent Operation - All in One Solution.
High-Density Deployment and Superior Computing Power. The
EVOLEEN-I5000s supports up to 40 accelerator cards and 10 CPUs in a
single 47U cabinet, delivering a total computing performance over six
times the performance of traditional air-cooled cabinets. This
high-density design significantly reduces space and power consumption,
optimizing data center efficiency. By minimizing module placement and
construction space by 40% and 60% respectively, the EVOLEEN-I5000s
maximizes overall operational efficiency for modern AI-driven data
centers.
Efficient Heat Dissipation. The EVOLEEN-I5000s cabinets optimize
cooling efficiency with a sealed cold aisle and dual-group
air-conditioning control system. Simulation based on server parameters
enhances heat exchange performance, allowing for better placement of
cabinets and row air conditioners while preventing localized
overheating. In the event of an air-conditioning failure, the dual-group
control strategy maintains system reliability and energy efficiency,
ensuring continuous and effective heat dissipation.
Energy Savings. The EVOLEEN-I5000s integrated system achieves
over 25% energy savings compared to traditional data centers. Its fully
integrated megawatt-level power chain significantly enhances power
supply efficiency, reducing energy loss by more than 30%. Additionally,
by utilizing high-temperature inlet water, the cooling system's energy
efficiency is boosted by over 10%, resulting in a highly optimized and
sustainable solution for data center operations.
Rapid Deployment. The EVOLEEN-I5000s features a modular design
and de-engineered installation approach, reducing data center
construction time by up to 70%. With simplified requirements for space,
cooling capacity, and power allocation, data centers can be built and
fully operational within just one week.
Security and Intelligent Operations. The integrated AI management
platform provides real-time environmental monitoring and 2D/3D
visualization, simplifying operations and maintenance. Key cooling
components can be controlled remotely, and the AI-based monitoring
system enhances data center stability and security by 30%, ensuring
reliable and efficient operations.
Proven Solution Successfully Implemented in Large-Scale Data Center Upgrades for LLM Applications.
KAYTUS has successfully deployed the EVOLEEN-I5000s to upgrade a
large-scale data center for LLM (Large Language Model) training. An
energy client needed to enhance its existing data center infrastructure
to support the training of an LLM with 100 billion parameters, which
demanded significant computing power. The existing data center,
originally designed to support 6kW per cabinet and accommodate up to 18
2U servers, faced power and space limitations when adapting to AI
workloads-requiring two cabinets for a single AI server. Additionally,
traditional air-cooling solutions also struggled to manage heat
dissipation in cabinets exceeding 20kW, while local regulations imposed
strict requirements for energy efficiency, mandating a Power Usage
Effectiveness (PUE) below 1.25 for new data centers.
In response to the client's challenges, KAYTUS introduced its 42kW
high-density air-cooled AI compute cabinet solution, delivering
exceptional computing performance and achieving over six times the
computing density of traditional cabinets. The solution maintained a PUE
below 1.25 to ensure maximum energy efficiency. It successfully met the
high-performance requirements of AI applications while optimizing space
and energy usage in the data center, reducing module deployment by 40%
and construction space by 60%. Moreover, by enabling intra-module IB
networking, the solution reduced IB cable costs by 50%, providing the
customer with a high-performance, energy-efficient, and intelligent
infrastructure solution tailored for advanced AI workloads. The
EVOLEEN-I5000s effectively addressed all these challenges with its
high-density design, efficient power management, and superior cooling
capabilities, making it the ideal solution for AI infrastructure
upgrades.