VCI Global launches AI compute treasury strategy using NVIDIA GPUs

VCI Global Limited (NASDAQ: VCIG) announced the launch of its AI Compute Treasury strategy, a long-term initiative to accumulate and deploy GPU infrastructure for artificial intelligence inference workloads.

The Malaysia-based company plans to build its platform using advanced GPU systems from NVIDIA, including systems powered by NVIDIA Blackwell RTX architecture optimized for AI inference workloads.

Under the strategy, VCI Global will progressively accumulate GPU infrastructure assets dedicated to AI inference, where trained AI models are deployed in real-world applications. Target use cases include enterprise AI copilots, intelligent automation, data analytics, recommendation engines, computer vision, video analytics, and generative AI services.

The company outlined a five-step AI Infrastructure Flywheel Model: deploying capital into GPU infrastructure assets, providing AI compute capacity to enterprises and developers, expanding adoption of AI workloads, generating recurring AI compute revenue, and reinvesting into additional GPU infrastructure expansion.

According to MarketsandMarkets data cited in the announcement, the global AI infrastructure market is projected to reach approximately $394.5 billion by 2030, representing a compound annual growth rate of 19.4% from 2024 to 2030. The AI inference market alone is expected to grow to nearly $255 billion by 2030.

The initiative builds on VCI Global's recently launched AI GPU Lounge, a platform that provides developers, startups, and enterprises with access to GPU infrastructure for AI development and inference.

"Artificial intelligence is entering a phase of large-scale real-world deployment. As this shift accelerates globally, demand for efficient AI inferencing compute capacity is expanding rapidly across industries," said Jason Thye, Chief Technology Officer.

VCI Global operates as an AI-native operating platform designed to scale businesses through centralized intelligence, data, and capital discipline across multiple industries including advisory, AI, digital infrastructure, digital assets, energy, automotive, and consumer sectors.

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