KAYTUS Launches Enhanced KSManage V2.3 for Optimized AI Data Center Management
KAYTUS, a leading provider of AI and liquid cooling solutions, has unveiled KSManage V2.3, an advanced device management platform tailored for AI data centers. This upgraded version of the platform brings enhanced monitoring and control capabilities specifically designed for the high-performance GB200 and B200 systems.
The new features, including integrated liquid cooling detection, allow AI data centers to operate with improved precision, efficiency, and sustainability.
Advanced Management for Next-Generation AI Infrastructure
As generative AI technology advances, the need for AI data centers to handle complex workloads with minimal latency and optimal energy efficiency grows.
The KSManage V2.3 responds to these needs by addressing the unique challenges posed by next-generation AI devices like NVIDIA’s B200 and GB200, which are rapidly adopted to meet escalating compute demands.
The GB200 integrates two B200 Blackwell GPUs with an Arm-based Grace CPU, providing an advanced architecture that demands a more sophisticated management approach.
KSManage V2.3 ensures that AI data centers can efficiently handle higher energy consumption and prevent system outages through its intelligent, automated management capabilities. By monitoring hardware performance in real-time, the platform helps maximize system uptime, improves operational efficiency, and reduces performance bottlenecks.
Key Features for Enhanced Efficiency
KSManage V2.3 supports real-time monitoring of essential server components such as CPU, memory, and storage drives. Using intelligent algorithms, the platform can predict potential faults, issue early warnings, and conduct preventive maintenance.
In addition, KSManage delivers improved monitoring capabilities for the GB200 and B200 systems, tracking GPU performance, CPU utilization, and memory bandwidth, while providing a 90% boost in operational efficiency.
The new version of KSManage introduces a three-tier monitoring system that spans component, machine, and cluster levels, allowing for precise fault detection. The system’s federated management technology enables rapid localization of errors, facilitating quicker response times. In the case of critical issues such as liquid leaks, KSManage coordinates an immediate shutdown of the cooling system, ensuring device safety.
Also read: HPE and KDDI Collaborate to Launch AI Data Center in Osaka
Innovative Liquid Cooling Detection
KSManage V2.3 introduces AI-powered liquid cooling detection to boost efficiency in high-density AI data centers. By monitoring flow rate, temperature, and pressure, it improves energy savings by up to 10% and flow utilization by 50%.
The system also offers real-time anomaly alerts and keeps PUE below 1.3. Deployed across sectors like finance and telecom, KSManage has delivered up to 20% energy savings and 80% faster fault handling, enhancing sustainability and operational reliability..
