AI基础设施需超越GPU关注点
KAYTUS的KSManage解决了多厂商设备统一管理难题，让AI工厂能精确监控液冷机架的各项参数。
随着AI智能体进入生产阶段，企业需要安全可靠且成本高效的AI基础设施平台。KAYTUS推出KSManage管理平台，可统一监控不同厂商的服务器、存储、网络设备和液冷系统。高密度液冷机架需要精确监控每个节点的功耗、冷却液温度和GPU时钟频率，以最大化资源利用率。
Most AI infrastructure discussion is about GPUs.
However, as agentic AI is moving into production, enterprises need more than GPUs. They need secure, reliable, and cost-efficient AI infrastructure platform.
Unlike traditional data centers, AI factories feature state-of-the-art rack-scale AI systems with tightly coupled GPU compute, power delivery, and liquid cooling resources. Full visibility is an indispensable capability for every AI factory to boost operational efficiency and system stability..
KAYTUS is saying their KSManage lets data center operators monitor and manage servers, storage, network gear and liquid cooling from many different vendors in one dashboard instead of juggling separate tools.
e.g. high-density liquid-cooled racks have thin margins. If you can't see per-node power draw next to coolant temperature next to GPU clocks, you leave headroom unused because you can't prove it's safe to use.
