GIBO Announces Development of Initial 30MW + 14,000-GPU AI Data Center, Advancing Malaysia as a Leading Digital AI Hub in Asia-Pacific

Rhea-AI Summary

GIBO (NASDAQ: GIBO) announced development of an initial 30MW AI data center in Malaysia featuring a 14,000-GPU supercomputing cluster for LLM training, model development and large-scale inference, announced on December 11, 2025. The facility is designed for high-density deep learning, multimodal AI, simulation and trillion-parameter model training, and will use next-generation liquid/immersion cooling for tropical conditions.

GIBO describes this as Phase 1 of a roadmap scaling to a 100MW multi-zone campus and ultimately a 200MW regional flagship across multiple Malaysian locations, aiming to create an "ASEAN-to-North Asia AI Compute Highway" within the next three to five years.

Positive

• 14,000-GPU supercomputing cluster planned
• Initial 30MW deployment to support model training and inference
• Roadmap to scale to 100MW and later 200MW campus
• Design includes liquid/immersion cooling for energy efficiency in tropical climate

Negative

• None.

Key Figures

Current price $2.47 Pre-news close

52-week range $1.49–$1,396.00 52-week low/high

200-day MA $116.87 Long-term trend level before news

Initial data center power 30MW First phase AI data center deployment in Malaysia

GPU cluster size 14,000 GPUs Planned supercomputing cluster for AI workloads

Campus scale-up target 100MW Planned expansion from initial 30MW to multi-zone campus

Regional flagship target 200MW Long-term goal for regional AI compute facility

Roadmap timeline 3–5 years Planned period to build one of the largest AI data center networks

Market Reality Check

$2.88 Last Close

Volume Volume 14,915 vs. 54,400 20-day average (relative volume 0.27x) shows subdued trading into this news. low

Technical Shares at $2.47 are trading below the 200-day MA of $116.87, reflecting a prolonged downtrend before this AI data center plan.

Peers on Argus

GIBO fell 4.26% while close peers were mixed: LCFY up 5.14%, GITS down 1.53%, ONFO down 3.18%, and QTT/LYL flat. This points to stock-specific dynamics rather than a broad sector move.

Historical Context

Date	Event	Sentiment	Move	Catalyst
Dec 09	Listing compliance	Positive	+0.8%	Nasdaq confirmed GIBO regained compliance and imposed one-year monitoring.
Dec 02	Strategic partnership	Positive	-8.3%	Core partnership with Ricloud AI granting priority deployment and regional rights.
Nov 03	Crypto infrastructure	Positive	-1.8%	Deployed on-chain anime and film hosting with verified streaming analytics on Ethereum.
Oct 17	Market transfer	Neutral	+5.5%	Transferred listing from Nasdaq Global Market to Nasdaq Capital Market.
Oct 17	AI initiative	Positive	+0.4%	Expanded SparkRWA AI framework into environmental analytics and smart energy domains.

Pattern Detected

Recent news often skews positive in tone, but price reactions have been inconsistent, with both rallies and selloffs following strategic or AI-related updates.

Recent Company History

Over the last six months, GIBO navigated listing compliance, strategic partnerships, and platform innovation. In May 2025 it advanced AI-driven creator tools, then in August 2025 implemented a 1-for-200 share consolidation to address Nasdaq bid-price issues. Subsequent AI and crypto infrastructure announcements in November–December 2025 generated mixed price moves, including a -8.3% reaction to an NVIDIA-partner agreement. Today’s large AI data center initiative extends this shift from content platforms toward heavier AI and compute infrastructure.

Market Pulse Summary

The stock moved +9.7% in the session following this news. A strong positive reaction aligns with GIBO’s ongoing repositioning from content-only platforms toward deep AI infrastructure. The move from AI creator tools to a 30MW, 14,000-GPU data center and a roadmap up to 200MW could be viewed as a material strategic shift. However, prior AI news produced mixed moves, and the stock trades far below its $1,396 52-week high, so investors have previously faded optimism after announcements.

Key Terms

gpu technical

"beginning with a 30MW deployment featuring a 14,000-GPU supercomputing cluster."

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.

supercomputing cluster technical

"deployment featuring a 14,000-GPU supercomputing cluster."

A supercomputing cluster is a group of many powerful computers linked to work as one machine for very demanding calculations and data processing, like complex simulations or large-scale AI models. For investors, ownership or access to such a cluster can signal a company’s ability to handle heavy technical workloads quickly, create higher-value products or services, and scale operations, while also bringing notable costs and energy needs that affect profitability.

large language model technical

"support large language model (LLM) training, small and mid-sized model development"

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.

multimodal ai systems technical

"optimized for deep learning, multimodal AI systems, simulation workloads"

Multimodal AI systems are artificial intelligence models that can process and generate multiple kinds of information—such as text, images, audio and video—so they can combine what they ‘see,’ ‘read’ and ‘hear’ to produce richer outputs, much like a person who can look at a chart, read an article and listen to a presentation before answering. Investors pay attention because these systems can unlock broader product capabilities and new revenue streams across industries, but they also involve higher development and data-privacy risks and greater operational complexity that affect costs and returns.

liquid or immersion cooling technical

"will incorporate next-generation liquid or immersion cooling methodologies"

Liquid or immersion cooling is a method of removing heat from electronic equipment by circulating a liquid directly over components or submerging the hardware in a specially formulated, nonconductive fluid. It matters to investors because it can make data centers and high-performance computing more energy-efficient, smaller, and cheaper to operate, potentially lowering operating costs and extending equipment life—similar to swapping noisy fans for a quiet, more effective radiator system.

trillion-parameter architectures technical

"support full-spectrum model training, including trillion-parameter architectures"

Trillion-parameter architectures are artificial intelligence models with roughly a trillion internal settings (think of them as the model’s many tiny knobs) that determine how they process information. For investors, they matter because size often correlates with better capabilities and new product possibilities but also signals far higher development and computing costs, larger infrastructure needs, and steeper barriers to entry or competitive advantage — like a much bigger factory that can make more complex goods but costs a lot more to run.

inference workloads technical

"and large-scale inference workloads for both commercial and public-sector use cases."

Inference workloads are the computing tasks where a trained machine learning model is used to make predictions or decisions in real time, like a chef using a recipe to prepare dishes for arriving customers. For investors, they matter because these tasks drive the ongoing cost, speed and scalability of AI-powered products — influencing infrastructure spending, user experience, and the ability of a business to monetize its technology efficiently.

ai compute hub technical

"accelerating its emergence as a major AI compute hub within the Asia-Pacific region."

An AI compute hub is a centralized facility or platform that provides the specialized processors, storage and high‑speed networking needed to train and run large artificial intelligence models — think of it as a shared “power plant” or workshop for AI tasks. It matters to investors because access to this concentrated, often subscription‑style capacity can lower costs, speed product development, create steady revenue streams, and form a competitive advantage or bottleneck for companies using advanced AI.

AI-generated analysis. Not financial advice.

KUALA LUMPUR, Malaysia, Dec. 11, 2025 /PRNewswire/ -- GIBO Holdings Ltd. (NASDAQ: GIBO) today announced its strategic initiative to develop Malaysia's first phase of a high-performance AI data center, beginning with a 30MW deployment featuring a 14,000-GPU supercomputing cluster. Purpose-built for industrial-scale AI development and deployment, the facility will support large language model (LLM) training, small and mid-sized model development, and large-scale inference workloads for both commercial and public-sector use cases. This development represents a major step forward in strengthening Malaysia's digital infrastructure capabilities and accelerating its emergence as a major AI compute hub within the Asia-Pacific region.

The planned 14,000-GPU cluster will be designed to deliver high-density computing optimized for deep learning, multimodal AI systems, simulation workloads, and next-generation AI applications. Once operational, the facility is expected to become one of the most advanced compute environments in Malaysia, enabling AI-driven research, public-private innovation programs, and enterprise deployment at scale across multiple industries including mobility systems, advanced manufacturing, fintech, healthcare, cybersecurity, agriculture, creative media, robotics, and sustainability technology.

This initiative forms the first milestone in GIBO's long-term roadmap to scale its AI infrastructure strategy from the initial 30MW to a 100MW multi-zone AI compute campus, and subsequently to a 200MW regional flagship facility. The broader vision includes establishing a multi-location interconnected network of AI-focused data centers spanning key regions across Malaysia, including Sarawak, Johor, Penang and Greater Kuala Lumpur. Once complete, this network is intended to serve as a unified compute backbone connecting Malaysia to Singapore, Indonesia, Thailand, Japan, Korea and Greater China, creating what GIBO describes as an "ASEAN-to-North Asia AI Compute Highway."

Engineered with a sustainability-aligned architecture, the data center will incorporate next-generation liquid or immersion cooling methodologies designed to maximize energy efficiency and operational resilience in tropical conditions. The infrastructure will support full-spectrum model training, including trillion-parameter architectures, while reducing compute costs for enterprises and accelerating adoption of AI systems across commercial and industrial sectors. Dedicated digital pipelines will be integrated for sector-specific applications, enabling the rapid development and deployment of specialized AI systems tailored to real-world use cases.

Malaysia's strategic regional position, maturing digital ecosystem, pro-AI national policies, and rapidly advancing technology talent pool make it a competitive environment for AI infrastructure expansion. GIBO expects that the project will become a catalytic anchor for broader innovation, attracting global AI companies, ecosystem partners, and next-generation technology ventures to the country.

With construction planning underway, this 30MW deployment represents the foundational phase of GIBO's ambition to build one of the largest AI-specific data center networks in the region within the next three to five years. Through this initiative, GIBO aims to support the growing global demand for compute power, accelerate the deployment of intelligent systems across industries, and position Malaysia as a central node in the future global AI economy.

About GIBO Holdings Limited

GIBO Holdings Ltd. is a unique and integrated AIGC animation streaming platform with extensive functionalities provided to both viewers and creators that serves a broad community of young people across Asia to create, publish, share and enjoy AI-generated animation video content. With over 83 million registered users and advanced AI-powered tools, GIBO seeks to redefine the landscape of digital content creation.

Forward-Looking Statements

This press release includes "forward-looking statements" within the meaning of the "safe harbor" provisions of the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements may be identified by the use of words such as "estimate," "plan," "project," "forecast," "intend," "will," "expect," "anticipate," "believe," "seek," "target" or other similar expressions that predict or indicate future events or trends or that are not statements of historical matters. These forward-looking statements also include, but are not limited to, statements regarding projections, estimates and forecasts of revenue and other financial and performance metrics, projections of market opportunity and expectations, the Company's ability to scale and grow its business, the Company's advantages and expected growth, the Company's ability to source and retain talent, and the Company's cash position, as applicable. These statements are based on various assumptions, whether or not identified in this press release, and on the current expectations of the Company's management and are not predictions of actual performance. These statements involve risks, uncertainties and other factors that may cause the Company's actual results, levels of activity, performance, or achievements to be materially different from those expressed or implied by these forward-looking statements. Although the Company believes that it has a reasonable basis for each forward-looking statement contained in this press release, the Company cautions you that these statements are based on a combination of facts and factors currently known and projections of the future, which are inherently uncertain. The forward-looking statements in this press release represent the views of the Company as of the date of this press release. Subsequent events and developments may cause those views to change. Except as may be required by law, the Company does not undertake any duty to update these forward-looking statements.

Contact Information

Investor Relations:
Bill Zima
ICR, Inc.
William.zima@icrinc.com 

Media Relations:
Edmond Lococo
ICR, Inc.
Edmond.Lococo@icrinc.com

For more information and the latest updates, please visit:
 https://www.globalibo.com/gibo-click/

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SOURCE GIBO Holdings Ltd.

FAQ

What did GIBO announce on December 11, 2025 about its Malaysia data center?

GIBO announced a Phase 1 30MW AI data center with a planned 14,000-GPU cluster for LLM training and inference.

How does GIBO plan to scale its AI infrastructure after the 30MW launch?

GIBO plans to expand from the initial 30MW to a 100MW multi-zone campus and later a 200MW regional flagship.

What timeline did GIBO give for building the AI compute network in Malaysia?

GIBO said the network aims to be built within the next three to five years.

Will GIBO's facility support large language models and trillion-parameter training?

Yes; the facility is designed to support LLM training and full-spectrum model training including trillion-parameter architectures.

What cooling and efficiency technologies will GIBO use for the Malaysia data center?

The data center will incorporate next-generation liquid or immersion cooling to improve energy efficiency in tropical conditions.

How does GIBO describe the regional role of its Malaysian AI campus?

GIBO intends the campus to be an anchor in an "ASEAN-to-North Asia AI Compute Highway" connecting Malaysia with major regional markets.