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Nvidia Partner GMI Cloud Seeks $635 Million GPU-Backed Loan — One of Asia’s First Syndicated AI Infrastructure Financings

by Team Lumida
July 14, 2026
in AI
Reading Time: 4 mins read
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Nvidia CEO Reveals Secrets Behind AI Domination Amidst Fierce Competition

Source: CNBC

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  • GMI Cloud is seeking a NT$20.45 billion ($635 million) multi-tranche bank loan — structured with a NT$13.9 billion five-year term loan syndicated in Taiwan’s bank market, a NT$6.4 billion 12-month bridge term loan, and a NT$150 million five-year revolving facility — to fund its AI factory project in Taoyuan, northern Taiwan; the deal is backed by GPU computing capability leasing contracts from qualified offtakers and is priced at 175 basis points over Taibor (approximately 3.43% all-in at current rates), with commitments due August 28 and signing slated for September 11.
  • The transaction is one of the first known syndicated GPU-backed loans targeting Asian banks — a financing structure pioneered in the US by CoreWeave, which used contracted GPU compute revenues as collateral to access debt capital markets at scale; GMI Cloud’s deal adapts this model for the Taiwanese syndicated loan market, where CTBC Bank is acting as sole coordinator and will take the bridge and revolving facility tranches onto its own book while syndicating the five-year term loan to other banks.
  • GMI Cloud is a Nvidia cloud partner backed by Taiwan’s GMI Technology Inc. (listed on Taiwan’s stock exchange) and Realtek Semiconductor Corp., with CEO Alex Yeh having committed $500 million to build a 16-megawatt Taoyuan data center powered by Nvidia’s most advanced chips; the facility is designed to process nearly 2 million tokens per second and is envisioned as the blueprint for GMI Cloud’s AI infrastructure expansion across Asia, where Google, Amazon, and Microsoft are all competing to establish data center capacity.
  • The GPU-backed loan structure represents the maturation of AI infrastructure finance in Asia: rather than requiring equity or general corporate credit, GMI Cloud is using the contracted cash flows from its GPU leasing agreements as the primary collateral basis — a model that allows AI compute operators to achieve much higher leverage than traditional real estate or equipment financing, because the revenue predictability of multi-year GPU leasing contracts is structurally similar to the toll-road or pipeline contracts that underpin infrastructure debt.

What Happened?

Bloomberg reports that GMI Cloud has launched a $635 million syndicated loan process in Taiwan’s bank market, with CTBC Bank as sole coordinator. The five-year term loan tranche has been launched for syndication; the bridge and revolving tranches are being held by CTBC. The loan is backed by GPU compute contracts — one of the first such structures to target Asian bank lenders, following the GPU-backed loan model that CoreWeave pioneered in the US. Bank commitments are due August 28.

Why It Matters?

The GMI Cloud deal marks the arrival of GPU-backed debt financing in Asian capital markets. CoreWeave’s success with this structure in the US — using contracted AI compute revenues as collateral — demonstrated that GPU infrastructure can support significant debt leverage if the underlying customer contracts are strong enough. GMI Cloud’s adaptation for the Taiwanese syndicated loan market opens a new financing channel for the Asia-Pacific AI buildout that doesn’t depend on US bond markets or equity issuance. Taiwan is particularly significant given its position at the center of global semiconductor supply chains (TSMC, Foxconn) and the density of AI-relevant industrial capacity concentrated in the Taoyuan region where the data center will be built.

What’s Next?

The September 11 signing will confirm whether Asian banks are willing to underwrite GPU-backed credit risk at scale — the deal’s reception will set a pricing benchmark for subsequent Asian GPU-backed financings. Watch for similar structures from other Asia-Pacific AI compute operators: if GMI Cloud’s deal clears the market at 175bps over Taibor, it will attract imitators from Japan, South Korea, Singapore, and India, where the AI infrastructure buildout is at an earlier stage but accelerating rapidly as hyperscalers expand regional capacity.

Source: Bloomberg

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