KAYTUS推出KSManage平台，让数据中心运营商在单一仪表板中监控管理多厂商服务器、存储、网络设备与液冷系统，无需在分散工具间切换。该平台支持5,000+设备型号、管理100,000+基础设施资产，可同时呈现节点功耗、冷却液温度与GPU时钟，帮助高密度液冷机架释放安全余量。
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.
As AI data centers scale, the real operational challenge isn't power or performance — it's visibility. Servers, storage, networking, and liquid cooling systems from multiple vendors create a sprawling, complex infrastructure that traditional siloed tools simply can't manage effectively. In our new KSManage video series, Alberto Stec, General Manager of KAYTUS UK&I, takes a deep dive into how KSManage brings it all under one roof — supporting 5,000+ device models and managing 100,000+ infrastructure assets. 👉 Watch Episode 2 to discover a smarter way to manage the AI data center with total visibility.在 X 查看被引用的帖子
来源：Rohan Paul · x.com