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Power Constrains GB200/300 NVL2 Rack Deployments: Energy Meets Compute | Asia Pacific

发布日期: 2026-06-18研究机构: Morgan Stanley公司 / 股票: BPCL.NS,BCP.BK,GAIL.NS,GGAS.NS,HPCL.NS,IOC.NS,KPLM.SI,MER.PS,ONGC.NS,OILI.NS,PGAS.JK,PLNG.NS,PTTEP.BK,PTTGC.BK,OR.BK,RELI.NS,SCIL.SI,SPRC.BK,TENA.KL,TOP.BK,UNTR.JK报告页数: 6原文语言: English证据页码: 1

研报英文原文证据摘录

Power Constrains GB200/300 NVL2 Rack Deployments: Energy Meets Compute | Asia Pacific

Update

June 18, 2026 11:52 AM GMT

Morgan Stanley Asia (Singapore) Pte.+MEnergy Meets Compute | Asia Pacific Mayank Maheshwari

Equity Analyst

Power Constrains GB200/300 Mayank.Maheshwari@morganstanley.comMorgan Stanley Taiwan Limited+ +65 6834-6719

Howard Kao

Equity AnalystNVL2 Rack Deployments Howard.Kao@morganstanley.com +886 2 2730-2989

Key Takeaways

Power availability is now constraining the deployment of racks with May

deployment down 11-12% MoM - a first decline since 2025.

As hyperscalers race to deploy AI capacity, and power availability and speed-to- ASEAN Utilities and Infrastructure

market become key constraints, we see energy security taking center stage. Asia Pacific

Industry View In-Line

Significant acceleration in power investment across Asia, with annual power India Oil & Gas

Asia Pacific

capex expected to rise to US$800bn by 2030, spanning generation, grids, Industry View In-Line

storage. ASEAN Energy and Materials

The spillover from the US to build DC capacity in Asia by US hyperscalers is also Industry View Attractive

helping underwrite the investment supercycle in energy security.

At the beginning of 2025, rack assembly yields were a key constraint on overall rack

output. Since then, yields have improved significantly and are no longer the primary

driver of month-over-month changes in build volumes. As rack assembly yields have

stabilized, delivery volumes have become increasingly dependent on customer

power infrastructure readiness and availability, which is now the primary factor

influencing deployment and delivery timing. See GB200 and GB300 NVL72 Racks.

Asia's energy demand for compute and AI is accelerating at a pace comparable

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