Artificial intelligence (AI) is moving beyond experimentation toward real-world deployment, as GITEX AI ASIA 2026 opened in Singapore, bringing together startups, investors, and enterprise leaders focused on scaling AI across industries.
The event, held at Marina Bay Sands from April 9-10, convenes participants from more than 110 countries, including over 550 enterprises and startups and 250 global investors managing about US$350 billion in assets.
From models to deployment
Across the exhibition floor and conference agenda, companies are increasingly emphasizing how AI can be deployed at scale, rather than how it is trained.
The shift reflects growing constraints around compute resources, energy consumption, and hardware availability, which are reshaping how AI systems are commercialized.
Industry participants are focusing on solutions that can operate efficiently across both edge and data center environments, particularly in industrial and enterprise applications.
Infrastructure emerges as key bottleneck
The transition toward industrial AI is underpinned by a rapid expansion of regional infrastructure, with data center capacity rising across Singapore and neighboring markets as demand for AI computing accelerates.
This physical backbone is enabling more complex deployments, including hybrid AI architectures that balance edge inference with data center scale.
Companies such as US-listed Blaize, in collaboration with Nokia, are showcasing integrated solutions developed in Singapore that aim to address latency and power efficiency challenges in real-world environments.
Energy management and cloud capacity are emerging as defining factors in building AI infrastructure, particularly as enterprises seek to scale deployments while managing costs and sustainability requirements.
Southeast Asia gains strategic importance
Singapore is positioning itself as a gateway linking Asia's technology ecosystems with global capital and markets, as companies look to expand regionally and form cross-border partnerships.
The city ranked fourth globally in the 2025 Global Startup Ecosystem Index, reflecting its role as a key hub for enterprise and deep-tech innovation.
Participants said Southeast Asia is gaining traction as companies seek to localize infrastructure and adapt to evolving supply chain conditions, particularly amid continued constraints in access to advanced hardware.
The presence of Chinese and international firms at the event underscores a broader transition in the AI industry, where efficiency and deployment are becoming more critical than raw model performance.
Rather than focusing solely on training larger models, companies are exploring ways to optimize performance using available hardware, improve energy efficiency, and accelerate commercialization.
The trend points to a new phase in AI development, where infrastructure, scalability, and real-world applications define competitive advantage.
Article edited by Jack Wu
