Kuala lumpur: has launched an AI Compute Treasury strategy, a long-term initiative to accumulate and deploy high-performance graphics processing unit (GPU) infrastructure to support the growing demand for artificial intelligence inference workloads. V Gallant Chief Technology Officer, Jason Thye said the strategy reflects the company's long-term approach to building GPU-powered compute capacity to support enterprises and developers as global AI adoption accelerates.

According to BERNAMA News Agency, VCI Global stated that the strategy aims to position the company within the expanding AI infrastructure economy, where access to high-performance computing capacity is increasingly critical for enterprises, developers, and next-generation AI applications. The platform will be built on advanced GPU systems from NVIDIA, including systems powered by next-generation Blackwell RTX architecture, optimized for high-efficiency AI inference workloads.

Under the strategy, VCI Global plans to progressively build GPU infrastructure assets dedicated to AI inference. This stage involves deploying trained AI models in real-world applications such as enterprise AI copilots, intelligent automation, data analytics, recommendation engines, computer vision, video analytics, and generative AI services. VCI Global believes that AI compute infrastructure represents a strategic long-term asset class capable of generating recurring demand from AI-driven applications worldwide.

The strategy follows a scalable model in which the company invests in GPU infrastructure, provides compute capacity to enterprises and developers, generates recurring revenue, and reinvests into further infrastructure expansion. The initiative also expands the company's recently launched AI GPU Lounge, a collaborative platform that provides developers, startups, and enterprises with access to high-performance GPU infrastructure for AI development and inference.