by Kim Youngwon
Published 27 Apr.2026 08:53(KST)
On April 27, KB Asset Management introduced the "RISE US AI Cloud Infrastructure" Exchange Traded Fund (ETF) as an alternative investment option in core infrastructure for the AI era.
The RISE US AI Cloud Infrastructure ETF focuses its investments on Neo Cloud companies, which include GPU-based cloud, data centers, and AI computing infrastructure. Neo Cloud refers to next-generation cloud platforms designed specifically for AI, characterized by providing ultra-high-performance computing environments based on NVIDIA GPUs.
As the full-fledged AI era begins, the importance of cloud infrastructure capable of handling massive computational demand is increasing. In particular, building data centers and high-performance computing infrastructure to efficiently utilize tens of thousands of GPUs is emerging as a core competitive edge, drawing heightened attention to related companies.
The ETF's portfolio consists of the following constituents: CoreWeave (20.28%), Nebius Group (20.27%), Marvell Technology (8.92%), Applied Digital (8.28%), Astera Labs (7.29%), Coherent (6.90%), Arista Networks (6.64%), Lumentum Holdings (5.87%), and Vertiv Holdings (5.63%).
In particular, Nebius Group and CoreWeave have recently signed a series of large-scale contracts with global big tech and AI companies, rapidly expanding their revenue base and are now considered key beneficiaries in this sector.
Thanks to the strong performance of its investment companies, the ETF itself has also shown excellent results. According to FnGuide, as of April 24, the ETF recorded a three-month return of 34.55% and a year-to-date return of 54.48%.
Yook Donghui, Head of ETF Product Marketing at KB Asset Management, said, "AI cloud infrastructure is the core foundation supporting industrial growth," and added, "The 'RISE US AI Cloud Infrastructure ETF' focuses on cloud infrastructure companies that are expected to directly benefit from the rising demand for AI computing, and is designed to directly respond to changes in demand compared to traditional semiconductor and software investments."
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