VCI Global’s World’s First NVIDIA Blackwell-Powered Enterprise AI GPU Lounge Becomes Operational, Introducing a New Asset-Light Model for Enterprise AI Infrastructure
VCI VCI (US:VCIG) Globenewswire·2026-01-09 20:30

Core Insights - VCI Global Limited, through its subsidiary V Gallant, has launched its first Enterprise AI GPU Lounge in Kuala Lumpur, Malaysia, which is now operational and ready to handle enterprise workloads by late January 2026 [1][2] - The AI GPU Lounge is a co-working data center that provides on-demand access to NVIDIA Blackwell-based compute infrastructure, allowing enterprises to avoid upfront capital investments [2][3] - The facility aims to convert AI infrastructure from a fixed capital expenditure model to a flexible operating expense model, enabling enterprises to scale resources according to workload demand [3] Infrastructure and Technology Highlights - The AI GPU Lounge utilizes NVIDIA Blackwell GPUs, which offer significant performance improvements for large language model inference and advanced AI workloads [3] - Operations are managed through V Gallant's proprietary Intelli-X™ platform, designed to meet data sovereignty, privacy, and compliance requirements for regulated industries [3] - The facility also serves as an IDEX Hub, integrating human expertise with machine intelligence, and is part of VCI Global's strategy to expand AI infrastructure hubs [3] Market Opportunity and Demand Dynamics - The global enterprise AI infrastructure market is projected to grow from approximately US$87.6 billion in 2025 to nearly US$197.6 billion by 2030, with a compound annual growth rate (CAGR) of about 17.7% [4] - This growth is driven by increased demand for high-performance compute and GPU-accelerated systems from enterprises and hyperscalers [4][5] - The AI GPU Lounge represents a strategic response to the accelerating demand for scalable and flexible AI compute environments [5] Strategic Foundation for Physical AI - The operational launch of the AI GPU Lounge is a key milestone in VCI Global's broader Physical AI strategy, supporting robotics, autonomous systems, and drone technologies [5][6] - By combining high-performance compute infrastructure with real-world applications, the company aims to extend AI deployment beyond cloud environments into industrial automation [6][7]