TATC Expands into GPU Computing and AI Infrastructure
Advancing our 2025 strategic transformation toward enterprise GPU computing services in Thailand.
Following our strategic transformation in 2025, TATC is expanding from smart security and intelligent devices into GPU computing and AI infrastructure. We aim to help enterprise customers access computing resources suited to increasingly demanding AI applications.
Responding to Enterprise AI Demand
We see growing demand for computing capacity across large language models, generative AI, AI agents, and computer vision. Enterprise workloads now range from model development and high-volume inference to video analytics and digital content production. These applications need dependable GPU resources, suitable networking, and ongoing operational support.
Building dedicated infrastructure in-house can involve significant hardware expenditure and technical complexity. We are developing service options that let customers focus on applications while obtaining the computing resources they need.
Why We Are Developing Infrastructure in Thailand
We view Thailand as an important base for our next stage of development. The local data center and telecommunications ecosystem offers opportunities to establish infrastructure closer to regional customers. Depending on the workload and applicable requirements, local deployment can help address latency, connectivity, data governance, and operational coordination.
Our infrastructure plans involve working with data center and technology partners, together with the hardware sourcing and delivery capabilities developed in our earlier business.
Two Complementary Service Models
Our Bare Metal GPU offering is designed to provide dedicated physical GPU server resources to customers that need direct hardware access for AI training, inference, computer vision, and other compute-intensive workloads.
Our planned AI Token API is intended to provide access to model capabilities through standardized interfaces, allowing developers and businesses to integrate AI functions without operating dedicated GPU servers themselves. The two approaches are planned for different customer requirements while supporting a shared infrastructure strategy.
Preparing for Commercialization
Moving into 2026, we plan to continue infrastructure deployment planning, data center collaboration, hardware procurement, and development of our commercial customer pipeline. We are focusing on use cases in intelligent vision, e-commerce, and digital media, while building the technical and operating capabilities required for reliable service delivery.
Our transition builds on TATC's customer-facing and hardware-related experience, while creating a new foundation for enterprise AI computing services.