APAC Companies Standardize Infrastructure to Survive AI-Era Supply Chain Shocks
Asia-Pacific organizations are moving beyond experimental AI deployments by standardizing their infrastructure and building sovereign AI capabilities to scale globally while protecting themselves from supply chain disruptions.
Speaking at Dell Technologies World 2026, executives from Dell, Standard Chartered, and Naver Cloud discussed how the maturity of AI adoption is forcing datacentre redesigns across the region. Dell's AI factory customer base grew from 3,000 to over 5,000 in the past year, but that growth depends on resilient, commoditized infrastructure rather than specialized hardware.
Standard Chartered Eliminates Specialized Hardware
Standard Chartered operates 52 country datacentres and four global datacentres across 54 markets. To achieve global scale and survive hardware shortages, the bank redesigned its private cloud infrastructure to eliminate all specialized components.
The bank removed standalone storage area networks and physical firewall appliances in favor of what John Sharratt, global head of infrastructure and operations, called "boring" commodity hardware-Dell servers and switches housed in standard racks. All storage, networking, and security functions now run on the same hyperconverged infrastructure.
"If you have a very specialist design, you cannot substitute components if the NICs, memory or disks are not available," Sharratt said. "By eliminating that specialisation, we can literally roll a rack off the back of a lorry and have workloads running in just 24 hours."
Achieving this required navigating decades of technical debt in a regulated industry. The bank set up an architectural review board run by engineers to systematically refactor and virtualize every legacy application. Sharratt said the bank has resolved all legacy infrastructure-there are no physical servers left.
Standard Chartered's Asia operations, which account for 70% of its global infrastructure footprint, already runs on this new architecture. The model is currently being deployed in the UK.
Naver Cloud Exports Sovereign AI Globally
While Standard Chartered focuses on infrastructure standardization, Naver Cloud is using its domestic datacentre footprint to export sovereign AI capabilities globally.
Naver operates massive infrastructure, including the multi-megawatt Gak Sejong datacentre, and has built its own generative AI model called HyperCLOVA X. The company is now partnering with Dell and Nvidia to deploy AI factories tailored for digital sovereignty.
Kim Yu-won, CEO of Naver Cloud, said owning the full stack-from datacentres and GPUs to AI models-gives the company a unique advantage as governments and regulated industries seek to protect their data. "In a world where sovereignty is key, we are highly flexible in giving each customer specific security and governance," Kim said.
Naver Cloud is already expanding beyond Korea, partnering with Thailand's Siam AI to develop a Thai large language model and launching a joint venture in Saudi Arabia to build digital twin capabilities.
"Infrastructure and models only matter if they solve real-world problems," Kim said. "Ultimately, what we want to create is unprecedented practical value that does not exist in the world today."
Dell Focuses on Supply Chain Resilience
Dell's newly appointed APAC leader, Richard McLaughlin, said helping customers navigate supply chain challenges and become AI-driven companies are his top priorities.
Dell is working with enterprise clients on "demand shaping" over the next four to five years to improve supply chain resilience. McLaughlin noted that Dell's 40-year supplier relationships give the company a supply chain advantage for its key customers.
He also said the AI ecosystem is changing as enterprises embrace agentic frameworks. "New business models, products, and services are emerging in the region as agentic frameworks become more commonplace," McLaughlin said.
Learn more: AI for Executives & Strategy and AI for Operations cover how organizations can plan infrastructure investments and manage the operational challenges of scaling AI.
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