Key Highlights
- SharonAI Holdings (SHAZ) has finalized a $356 million senior secured debt arrangement backed by GPU assets.
- The financing agreement features a fixed interest rate of 9.95%, not including transaction fees.
- Goldman Sachs and multiple private credit institutions are participating as investors in the transaction.
- Over the last 10 months, the firm has accumulated more than $2.6 billion through debt and equity financing rounds.
- Capital will be deployed to support the installation of over 68,000 Nvidia GPUs through the middle of 2027.
Shares of SharonAI Holdings Inc. (SHAZ) climbed 0.79% following the company’s disclosure of a significant financing agreement. The Australia-based cloud infrastructure provider has closed a $356 million senior secured facility collateralized by GPU hardware.
SharonAI Holdings, Inc. Class A Common Stock, SHAZ
The financing arrangement includes a fixed annual rate of 9.95%, exclusive of associated fees. The deal is organized through a special purpose vehicle structure, with GPU assets and their associated revenue streams serving as collateral.
Jarden Australia served as the exclusive financial adviser and arranger for the transaction. The investor syndicate features Goldman Sachs alongside various private credit funds from Australia, Asia, and international markets.
Capital Deployment Plans
According to SharonAI, the financing will fund the deployment of computing infrastructure tied to current customer agreements. The organization is targeting the installation of more than 68,000 Nvidia GPUs by the second quarter of 2027.
Company officials characterize this facility as the inaugural transaction in a planned series of GPU-collateralized financings designed to support the broader infrastructure rollout. The expansion encompasses operations in Australia, New Zealand, and additional Asia-Pacific territories.
SharonAI positions itself as a Neocloud infrastructure provider. The company develops AI computing resources tailored for hyperscale operators, AI-focused startups, governmental agencies, corporate clients, and academic institutions.
Following the completion of this facility, SharonAI reports having raised in excess of $2.6 billion through institutional debt and equity financing channels. This capital has been accumulated over approximately the previous 10 months.
James Manning, who serves as co-founder and chief executive officer of SharonAI, offered remarks regarding the transaction. He indicated it demonstrates the company’s strategy of leveraging debt capital markets to finance GPU infrastructure deployments moving forward.
Revenue Backlog and Financial Approach
Manning referenced the firm’s contracted customer commitments, which he stated currently total more than $8.8 billion in aggregate contract value. He explained that the financing structure is intended to enhance return on equity metrics over the long term.
He further noted that the methodology aims to maximize shareholder value creation. Manning emphasized that the organization maintains a robust balance sheet alongside an expanding portfolio of contracted computing capacity.
Manning characterized the capital deployment framework as methodical and strategic. In his view, this positioning enables SharonAI to continue expanding its AI infrastructure platform throughout Asia-Pacific markets.
The organization presents the facility as one component of a comprehensive capital markets initiative. This program has been operational throughout the past 10 months as SharonAI has systematically secured financing for its infrastructure objectives.
SharonAI’s value proposition emphasizes sovereign and secure AI computing infrastructure. The company contends that demand for reliable, trustworthy computing resources is significantly exceeding available supply, especially across Australia, New Zealand, and neighboring Asia-Pacific nations.
The GPU-collateralized framework links the debt obligation directly to physical hardware assets and the income streams generated through customer agreements. This methodology has become increasingly prevalent among organizations constructing large-scale AI computing capabilities.
SharonAI’s infrastructure offering, branded as its AI Factory, is designed to accommodate diverse workloads ranging from model training to inference operations and agentic AI applications. The platform serves an international customer base.
With this announcement, SharonAI has completed its initial GPU-backed financing facility in what the company anticipates will be a series of similar transactions. Management indicates that additional facilities will be executed as the organization progresses toward its goal of deploying 68,000 GPUs by mid-2027.
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