Sharon AI Accelerates Enterprise AI & High-Performance Compute Expansion with an Investment from Digital Alpha of up to US$200M and Strategic Technology Partnership with Cisco

Key Terms

high-performance computing technical

A cluster of very powerful computers, special chips and fast networks designed to tackle huge, complex calculations far faster than a normal PC — like replacing a single delivery van with a synchronized fleet to move a city’s worth of packages. For investors, high-performance computing matters because it enables faster product development, more accurate simulations and data analysis, and new revenue streams for hardware, software and services, making firms that supply or use it potentially more competitive and scalable.

large language model technical

A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.

real-time inference technical

Real-time inference is the process of using a pre-trained computer model to make immediate predictions or decisions from incoming data as it arrives, rather than after a delay. Like a GPS recalculating a route the moment you take a wrong turn, it matters to investors because it determines how fast and reliably a product or service can respond to customers, which affects user experience, operational costs, revenue potential and competitive advantage.

gpu technical

A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.

retrieval-augmented generation technical

An AI method that combines a conversational language system with live access to external documents or databases, so the AI first fetches relevant facts and then uses them to form its answer. Think of it as an assistant that checks a file cabinet for source papers before replying, which helps reduce mistakes and reveal evidence. For investors it matters because it can produce more accurate, verifiable summaries of filings, news and research, speeding due diligence while still depending on the quality of the underlying data.

convertible promissory note financial

A convertible promissory note is a loan a company takes now that can later be turned into shares instead of being repaid in cash. Think of it as lending money with the option to accept ownership in the business down the road; that matters to investors because it affects who gets paid first, how much ownership existing shareholders keep, and the company’s future valuation and cash needs. Terms such as conversion price, interest and maturity determine the financial impact.

convertible note financial

A convertible note is a type of loan that a company gets from investors, which can later be turned into company shares instead of being paid back in cash. It matters because it helps startups raise money quickly without setting a fixed value for the company right away, making it easier to grow and attract investors.

vwap financial

VWAP, or Volume-Weighted Average Price, is a way to find the average price of a stock throughout the trading day, giving more importance to times when more shares are traded. It helps traders see the typical price and decide whether a stock is expensive or cheap compared to its average, similar to finding the average speed during a trip by giving more weight to times when you traveled faster or slower.

SYDNEY--(BUSINESS WIRE)-- SharonAI Holdings Inc. and its subsidiaries (“Sharon AI”), a leading Australian Neocloud (SHAZ:OTC Markets, SHAZW:OTC Markets), announced a strategic investment partnership with Digital Alpha, a digital infrastructure investment firm focused on building premium digital platforms through an exclusive technology partnership with Cisco.

The equity and revenue share investment will enable Sharon AI to significantly expand its AI and high-performance cloud compute infrastructure footprint, as well as support customer demand for NVIDIA accelerated computing and Cisco networking technology in Australia and Asia Pacific for research, government, and enterprise customers.

“Sharon AI represents the next generation of cloud infrastructure providers delivering AI workloads and high-performance compute to enterprise and public sector customers,” said Rick Shrotri, Managing Partner at Digital Alpha. “We are excited to partner with the Sharon AI team to scale the Company across the Australia and Asia-Pacific region.”

Sharon AI provides an enterprise-grade high-performance computing (“HPC”) infrastructure platform specifically engineered for AI workloads, including large language model training, fine-tuning, and real-time inference. The Sharon AI Cloud is a proprietary orchestration and automation platform designed to simplify the deployment and management of high-performance GPU resources for complex workloads.

James Manning, Co-Founder and Chairman, Sharon AI, said, “This partnership with Digital Alpha and Cisco enables us to further accelerate customer deployments and expand our cloud infrastructure for enterprise AI and high-performance compute in Australia and Asia Pacific.”

The three-way partnership between Cisco, Digital Alpha, and Sharon AI is expected to support several growth initiatives including expanded and accelerated AI infrastructure deployments in Australia and Asia Pacific, as well as full stack compute, network and storage integration to meet the needs of research, enterprise, and government customers.

"Sharon AI is poised to lead the Australian enterprise AI space, delivering critical use cases like inference and RAG (Retrieval-Augmented Generation). Powered by Cisco’s UCS servers, Nexus Hyperfabric switching, security, and observability stack, Sharon AI provides a sovereign, high-performance infrastructure for Australian businesses,” said Will Eatherton, SVP, Head of Networking Engineering, Cisco. “Cisco is thrilled to partner with Sharon AI to bring these advanced AI platforms to market.”

The collaboration reflects Digital Alpha’s focus on investing in next-generation AI infrastructure platforms, informed by its strategic relationship with Cisco and its investment experience across portfolio companies including Massed Compute, PacketFabric, and Cloudian, in support of scalable, enterprise-grade AI compute, networking, and data infrastructure.

About SHARON AI

SharonAI Holdings Inc. (“Sharon AI”) and its subsidiaries (SHAZ:OTC Markets, SHAZW:OTC Markets), a leading Australian Neocloud, is a High-Performance Computing company focused on Artificial Intelligence and Cloud GPU Compute Infrastructure. Our cloud GPU platform and compute infrastructure is accelerating the build of AI factories and sovereign AI solutions, powering the next wave of accelerated computing adoption. For more information, visit www.sharonai.com.

About Digital Alpha

Digital Alpha Advisors, LLC is an investment firm focused on digital infrastructure, partnering with industry leaders to scale digital platforms that enable the next generation of connectivity, cloud, and cybersecurity solutions. Digital Alpha has a strategic collaboration agreement with Cisco System, Inc. and works closely with other leading technology firms to accelerate the deployment of digital infrastructure.

Forward Looking Statements:

This press release may contain, and our officers and representatives may from time to time make, “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995, which are not historical facts and which are not assurances of future performance. Forward-looking statements are based only on our current beliefs, expectations, and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. In some cases you can identify these statements by forward-looking words such as “believe,” “may,” “will,” “estimate,” “continue,” “anticipate,” “intend,” “could,” “should,” “would,” “project,” “strategy,” “plan,” “expect,” “goal,” “seek,” “future,” “likely” or the negative or plural of these words or similar expressions or references to future periods. Examples of such forward-looking statements include but are not limited to express or implied statements regarding SHARON AI’s management team’s expectations, hopes, beliefs, intentions, or strategies regarding the future including, without limitation, statements regarding:

• Service and product offerings;
• Use of proceeds;
• Acceleration of the deployment of assets;
• Acceleration of Sharon AI’s ability to engage with additional potential customers;
• Expansion of Sharon AI’s data center footprint
• The firming of Sharon AI’s ability to formally lease additional capacity; and
• The strengthening of Sharon AI’s partner network.

In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. You are cautioned that such statements are not guarantees of future performance and that actual results or developments may differ materially from those set forth in these forward-looking statements. . Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause actual results to differ materially from these forward-looking statements include, among others, all of the risks described in the “Risk Factors” section of the Registration Statement on Form S-4 filed with the SEC on October 21, 2025, as amended. Additional assumptions, risks and uncertainties are described in detail in our registration statements, reports and other filings with the SEC, which are available at www.sec.gov.

The forward-looking statements and other information contained in this news release are made as of the date hereof and SHARON AI does not undertake any obligation to update publicly or revise any forward-looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260119339879/en/

Sharon AI Media Enquiries:

Rosalyn Christian/Zachary Nevas

IMS Investor Relations

+1 203.972.9200

sharonai@imsinvestorrelations.com

Source: SharonAI Holdings Inc.