當企業 AI 正從生成式 AI 邁向具備自主規劃、協作與執行能力的 Agentic AI,基礎設施也必須同步升級。本場對談中,Arcfra 將攜手合作夥伴 Netfos,分享企業如何打造兼具雲原生、AI-ready 與高效能的下一代基礎設施,支撐 Agentic AI 的部署與規模化運行。議程將聚焦於 AI 時代對算力、儲存、網路、資料流動與營運管理的新需求,以及企業如何以更簡化、更高韌性與更具成本效益的方式,建立適合 AI Agent 長期運行的基礎平台。透過實務經驗與市場觀察,探討 Agentic AI Infrastructure 如何成為企業未來數位轉型與 AI 落地的核心基石。
As enterprise AI evolves from generative AI toward Agentic AI capable of autonomous planning, collaboration, and execution, infrastructure must evolve as well. In this session, Arcfra and partner Netfos will discuss how enterprises can build cloud-native, AI-ready infrastructure designed for the next wave of AI applications. The conversation will explore the growing demands Agentic AI places on compute, storage, networking, data mobility, and operations management, and how organizations can create a simpler, more resilient, and cost-efficient platform for scalable AI deployment. Drawing from real-world observations and infrastructure practices, the session will examine how Agentic AI Infrastructure is becoming a critical foundation for enterprise AI transformation and production-scale adoption.

Kelvin Teo 現任 Arcfra Sales Director,擁有近二十年企業 IT 與雲端基礎設施經驗,橫跨金融、虛擬化、超融合與企業雲領域。職涯始於 JPMorgan Chase,參與亞太企業雲平台建置;其後於 Citrix 與 Nutanix 擔任技術與售前顧問,協助企業與政府客戶推動虛擬化與雲端轉型。加入 Arcfra 前,曾任 Sangfor Singapore 解決方案工程主管,帶領技術團隊打造客製化企業方案。現專注於推動新一代 Enterprise Cloud 與 AI-ready Infrastructure,協助企業迎接 Agentic AI 時代的基礎設施轉型。
Kelvin Teo is the Sales Director of Arcfra, bringing nearly two decades of experience across enterprise IT, cloud infrastructure, virtualization, and hyperconverged technologies. He began his career at JPMorgan Chase, contributing to enterprise cloud initiatives in the APJ region, before taking on consulting and pre-sales roles at Citrix and Nutanix, where he supported enterprise and government digital transformation projects. Prior to joining Arcfra, he led Solutions Engineering at Sangfor Singapore, driving tailored infrastructure solutions for enterprise customers. Today, Kelvin focuses on helping organizations modernize with next-generation Enterprise Cloud and AI-ready infrastructure designed for the Agentic AI era.