KAYTUS 的 KSManage 让数据中心运维人员在一个仪表盘中监控和管理来自不同厂商的服务器、存储、网络设备和液冷系统。该平台支持 5000+ 设备型号，可管理 100000+ 基础设施资产。随着智能体 AI 进入生产环境，AI 工厂需要超越 GPU 的可见性能力，以提升运营效率和系统稳定性。
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