KAYTUS is excited to participate in Interop Tokyo 2026, one of Japan’s leading ICT and digital infrastructure events. Bringing together technology innovators, cloud providers, system integrators, and enterprise users, Interop Tokyo provides a valuable platform to explore the latest developments in AI infrastructure, data centers, networking, and edge computing.
Time: June 10–12, 2026
Venue: Hall 4, Makuhari Messe, Tokyo, Japan
Booth: 4U15
At Booth #4U15, KAYTUS will showcase its latest integrated AI data center solutions, featuring innovations in AI infrastructure, liquid cooling, prefabricated data centers, intelligent management software, and edge computing platforms.
Visitors will have the opportunity to explore how KAYTUS helps organizations accelerate AI deployment, improve operational efficiency, and build scalable, future-ready AI infrastructure.
We look forward to welcoming customers, partners, and industry professionals at Booth #4U15 and discussing the future of AI infrastructure together.
High-Density AIDC Solutions
KAYTUS is committed to achieving cost parity between air and liquid cooling by promoting the scaling and industrialization of liquid cooling. Discover how we improve production efficiency, drive economies of scale, lower adoption barriers for liquid cooling among data centers, and support green transformation across industries.
End-to-end AI&HPC Solutions
KAYTUS is at the forefront of innovation with its DevOps Al platform for enterprise, MotusAl. It offers full control and transparency over your AI infrastructure, workloads, and users. Designed for industries like security, financial services, energy, automotive, and education, it delivers a high-performance, scalable, and secure solution.
Future-Ready V3 Servers
V3 server lineup delivers extreme performance, energy efficiency, and scalability. Engineered to seamlessly support cloud, big data, and performance-driven workloads and applications, it accelerates innovation while reducing operational costs. Embrace the future of sustainable, high-performance computing.
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