VCI Global (NASDAQ: VCIG) announced its first Enterprise AI GPU Lounge in Kuala Lumpur has reached turnkey readiness and will begin enterprise workloads by late January 2026. The co-working data center offers subscription-based, usage-driven access to NVIDIA Blackwell GPU compute via V Gallant’s proprietary Intelli-X™ platform with a zero-data-retention architecture and data‑sovereignty features. The facility also functions as an IDEX Hub inside a green-certified building and is positioned as a capital-efficient alternative to upfront GPU CAPEX for regulated enterprises, multinationals, and government entities, supporting VCI Global’s broader Physical AI roadmap for robotics and autonomous systems.
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Market Reaction
15 min delay
48 Alerts
-4.18%
Since News
-8.7%
Trough in 1 hr 2 min
$0.92
Last Price
$0.68
$0.97
Day Range
-$274K
Valuation Impact
$6M
Market Cap
5.0x
Rel. Volume
Following this news, VCIG has declined 4.18%, reflecting a moderate negative market reaction.
Argus tracked a trough of -8.7% from its starting point during tracking.
Our momentum scanner has triggered 48 alerts so far, indicating elevated trading interest and price volatility.
The stock is currently trading at $0.92.
This price movement has removed approximately $274K from the company’s valuation.
Trading volume is exceptionally heavy at 5.0x the average, suggesting significant selling pressure.
Data tracked by StockTitan Argus (15 min delayed). Upgrade to Silver for real-time data.
Key Figures
Current price
$0.6809
Pre-news trading level
24h price change
-9.21%
Move ahead of AI GPU Lounge news
52-week high
1290
Versus current $0.6809 level
AI infra market 2025
US$87.6 billion
Global enterprise AI infrastructure market size (Mordor Intelligence)
AI infra market 2030
US$197.6 billion
Projected 2030 market size (Mordor Intelligence)
AI infra CAGR
17.7%
Projected 2025–2030 CAGR (Mordor Intelligence)
GPU Lounge go-live
Late January 2026
Expected commencement of enterprise workloads
Volume relative
0.42x
Today’s volume vs 20-day average
Market Reality Check
$0.9601
Last Close
Volume
Volume 529,747 is below the 20-day average of 1,252,706 (relative volume 0.42x).
low
Technical
Shares at 0.6809 are trading well below the 200-day MA of 50.31, with a 24h move of -9.21% ahead of this AI news.
Peers on Argus
2 Up
1 Down
VCIG showed a -9.21% move while momentum peers were mixed: two (e.g., NISN, RGP) were up and one (GFAI) was down. This divergence from generally positive sector momentum points to a stock-specific reaction rather than a broad Industrials/Consulting move.
Historical Context
Date
Event
Sentiment
Move
Catalyst
Jan 05
AI solar roadmap
Positive
+0.8%
Announced fully funded 250MW solar plus up to 800MWh BESS Green AI plan.
Dec 30
Digital treasury deal
Positive
-5.8%
Reaffirmed Oobit transaction and Q1 2026 OOB digital treasury timeline.
Dec 29
Auto stake acquisition
Positive
-9.2%
Signed term sheet for 51% of RTCAR Mexico as Tier‑1 auto production hub.
Dec 26
RWA exchange roadmap
Positive
+3.1%
Unveiled 2026 Sovereign RWA Exchange roadmap and US$200M Bridge Gold mandate.
Dec 19
AI-linked solar MOU
Positive
-8.5%
Announced up to 250MW solar MOU in Malaysia to supply AI data centres.
Pattern Detected
Recent VCIG news has often been positive strategically, yet price reactions have skewed negative, with more divergences than alignments on constructive announcements.
Recent Company History
Over the last several weeks, VCIG has issued multiple strategy-heavy updates. On Dec 19, 2025 and Jan 5, 2026, it outlined large “Green AI” solar initiatives of up to 250MW with projected revenues over 20 years. It also pursued automotive expansion via a 51% RTCAR Mexico stake and advanced a Real-World Asset tokenization roadmap with a US$200 million mandate. The current NVIDIA Blackwell-powered AI GPU Lounge launch fits this pattern of building out AI and infrastructure platforms tied to its broader 2026 roadmap.
Market Pulse Summary
This announcement highlights VCIG’s launch of an NVIDIA Blackwell-powered Enterprise AI GPU Lounge using an asset-light, subscription-based access model. It complements prior AI contracts and energy-backed “Green AI” initiatives, reinforcing a broader physical AI and infrastructure roadmap into 2026. Investors may track execution on late-January workload commencement, enterprise adoption of the co-working data center concept, and how this platform ties into robotics, autonomous systems, and sovereign or regulated AI deployments mentioned in earlier AI-tagged releases.
Key Terms
gpu
technical
“Enterprise AI GPU Lounge, located in Kuala Lumpur, Malaysia, has reached turnkey”
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.
large language model
technical
“performance gains for large language model (LLM) inference and advanced AI workloads”
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.
llm
technical
“performance gains for large language model (LLM) inference and advanced AI workloads”
A large language model (LLM) is an advanced computer system trained on vast amounts of written text to understand and generate human-like language, similar to a very fast, well-read assistant that can summarize documents, draft messages, or answer questions. Investors care because LLMs can speed up research, automate customer support, and reduce costs, while also creating new product opportunities and risks around accuracy, bias, and regulatory oversight that can affect a company’s performance.
data sovereignty
regulatory
“designed to meet data sovereignty, privacy, and compliance requirements applicable”
Data sovereignty is the principle that digital information is subject to the laws and control of the country or entity where it is stored or processed. For investors, it matters because where data lives affects a company’s legal obligations, costs, ability to sell services across borders, and exposure to government access or restrictions — like owning a house that must follow the rules of the town it sits in.
capex
financial
“from a fixed CAPEX commitment to a flexible operating expense model, enterprises”
Capex, short for capital expenditures, refers to the money a company spends to buy, upgrade, or maintain physical assets such as buildings, equipment, or technology. It matters to investors because these investments can help a company grow and improve its long-term performance, but they also represent significant costs that can impact profitability and cash flow.
AI-generated analysis. Not financial advice.
01/09/2026 – 03:30 PM
Launch of V Gallant’s Co-Working Data Center and IDEX Exchange Hub Signals Convergence of High-Performance Compute and Physical AI Infrastructure
KUALA LUMPUR, Malaysia, Jan. 09, 2026 (GLOBE NEWSWIRE) — VCI Global Limited (NASDAQ: VCIG) (“VCI Global” or the “Company”), through its artificial intelligence subsidiary V Gallant Limited (“V Gallant”), today announced that its first Enterprise AI GPU Lounge, located in Kuala Lumpur, Malaysia, has reached turnkey readiness and is entering the operational phase. The facility is expected to commence enterprise workloads by late January 2026.
Positioned as a first-of-its-kind co-working data center for enterprise AI, the AI GPU Lounge provides immediate, on-demand access to NVIDIA Blackwell-based compute infrastructure for multinational corporations, regulated enterprises, and government entities, without the need for upfront capital investment.
Capital-Efficient Alternative to Traditional Enterprise AI Deployment
Enterprise adoption of advanced artificial intelligence has been constrained by the high capital expenditure required to procure, operate, and maintain cutting-edge GPU infrastructure. VCI Global’s AI GPU lounge addresses this challenge by offering a subscription-based, usage-driven access model that improves capital efficiency and accelerates deployment timelines.
By converting AI infrastructure from a fixed CAPEX commitment to a flexible operating expense model, enterprises can scale compute resources in line with actual workload demand while preserving balance sheet flexibility.
Core Infrastructure and Technology Highlights
• NVIDIA Blackwell GPU Architecture
The AI GPU Lounge is powered by NVIDIA Blackwell GPUs, delivering substantial performance gains for large language model (LLM) inference and advanced AI workloads compared to prior generations. This positions the facility to support compute-intensive enterprise and institutional use cases.
• V Gallant Intelli-X™ Artificial Intelligence Platform (AIP)
Operations are managed through V Gallant’s proprietary Intelli-X™ platform, which features a secure, zero-data-retention architecture. The platform is designed to meet data sovereignty, privacy, and compliance requirements applicable to regulated industries and government-related deployments.
• IDEX (Innovation & Data Exchange) Hub
Located within a green-certified facility, the AI GPU Lounge also serves as an IDEX Hub—an integrated environment where human expertise and machine intelligence coexist. The model serves as a reference architecture for VCI Global’s planned expansion of AI infrastructure hubs.
Market Opportunity and Demand Dynamics
The global market supporting enterprise AI infrastructure is experiencing robust multi-year growth as organizations accelerate adoption of generative AI, large-scale model training, and AI-optimized workloads. According to Mordor Intelligence, the AI infrastructure market is projected to grow from an estimated US$87.6 billion in 2025 to nearly US$197.6 billion by 2030, representing a compound annual growth rate (CAGR) of approximately 17.7 % over the forecast period, driven by increased enterprise and hyperscaler demand for high-performance compute and GPU-accelerated systems.
The growth trajectories underscore the accelerating demand for scalable, flexible AI compute environments and highlight the strategic relevance of shared, on-demand infrastructure platforms such as the AI GPU Lounge.
Strategic Foundation for Physical AI, Robotics, and Autonomous Systems
The operational launch of the AI GPU Lounge represents a foundational milestone in VCI Global’s broader Physical AI strategy. The facility is intended to support testing, orchestration, and command-and-control functions for robotics, autonomous systems, and drone technologies outlined in the Company’s 2026 development roadmap.
By combining high-performance compute infrastructure with real-world physical systems, VCI Global aims to enable practical deployment of AI beyond cloud-only environments, extending into industrial automation and intelligent infrastructure applications.
“The rapid growth of AI has outpaced enterprise access to secure, high-performance physical infrastructure. With the AI GPU Lounge entering operational readiness, we are introducing a scalable and capital-efficient platform that enables enterprises to deploy advanced AI capabilities without the traditional burden of infrastructure ownership. This marks an important step as we advance toward Physical AI and intelligent automation use cases,” said Dr. Chan Wai Mun, Chief Operating Officer of V Gallant.
About V Gallant Limited
V Gallant Limited (“V Gallant”) is a leading cybersecurity and artificial intelligence (AI) company focused on delivering secure, scalable, and innovative technology solutions for enterprises and government organizations. The company provides a comprehensive suite of services, including AI compute and consulting, secure data analytics-as-a-service, ISO audit and advisory, and cybersecurity consulting.
With a strong emphasis on data privacy, regulatory compliance, and advanced AI capabilities, V Gallant helps clients harness the power of technology to drive operational efficiency, enhance security, and unlock strategic value.
For more information, please visit https://vgallant.ai/.
About VCI Global Limited
VCI Global Limited is a cross-sector platform builder at the forefront of technology and financial architecture. The Company focuses on developing and scaling platforms across artificial intelligence, encrypted data infrastructure, digital treasury systems, and next-generation capital markets solutions.
By integrating technology innovation with financial ecosystems, VCI Global enables enterprises, governments, and institutions to capture opportunities in the evolving digital economy. The Company’s strategy is centered on building scalable platforms that deliver resilience, efficiency, and long-term value across multiple high-growth sectors.
For more information on the Company, please log on to https://v-capital.co/.
Cautionary Note Regarding Forward-Looking Statements
This press release contains forward-looking statements that are subject to various risks and uncertainties. Such statements include statements regarding the Company’s ability to grow its business and other statements that are not historical facts, including statements which may be accompanied by the words “intends,” “may,” “will,” “plans,” “expects,” “anticipates,” “projects,” “predicts,” “estimates,” “aims,” “believes,” “hopes,” “potential” or similar words. These forward-looking statements are based only on our current beliefs, expectations, and other future conditions. 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. Therefore, you should not rely on any of these forward-looking statements. Actual results could differ materially from those described in these forward-looking statements due to certain factors, including without limitation, the Company’s ability to achieve profitable operations, customer acceptance of new products, the effects of the spread of coronavirus (COVID-19) and future measures taken by authorities in the countries wherein the Company has supply chain partners, the demand for the Company’s products and the Company’s customers’ economic condition, the impact of competitive products and pricing, successfully managing and, general economic conditions and other risk factors detailed in the Company’s filings with the United States Securities and Exchange Commission (“SEC”). The forward-looking statements contained in this press release are made as of the date of this press release, and the Company does not undertake any responsibility to update the forward-looking statements in this release, except in accordance with applicable law.
CONTACT INFORMATION:
For media queries, please contact:
VCI GLOBAL LIMITED
enquiries@v-capital.co
FAQ
What is the VCI Global (VCIG) AI GPU Lounge and where is it located?
The AI GPU Lounge is a co-working data center for enterprise AI located in Kuala Lumpur, Malaysia offering on-demand NVIDIA Blackwell compute.
When will VCI Global (VCIG) start enterprise workloads at the AI GPU Lounge?
The company expects the facility to commence enterprise workloads by late January 2026.
What GPU architecture powers VCI Global’s (VCIG) AI GPU Lounge?
The lounge is powered by NVIDIA Blackwell GPUs designed for LLM inference and advanced AI workloads.
How does VCI Global’s (VCIG) subscription model change enterprise AI deployment?
It shifts AI infrastructure from upfront CAPEX to a subscription, usage-driven OPEX model to improve capital efficiency and scale with demand.
What platform manages operations and data privacy at VCI Global’s (VCIG) lounge?
Operations are managed via V Gallant’s Intelli-X™ platform, described as having a secure, zero-data-retention architecture for compliance and data sovereignty.