SIJORI Cloud & Datacenter Convention 2026

Singapore’s 2026 reality is a high-density squeeze where a sub-1.3 PUE mandate and 19¢/kWh tariffs force a radical shift toward vertical, liquid-cooled architectures. To survive, operators must balance Jurong Island’s new low-carbon corridors against the existential risks of land scarcity and strictly capped grid allocations.

Singapore is pivoting from generic cloud storage to high-octane AI Factories, forced by a brutal 1.25 PUE cap and near-zero land availability. This shift demands a radical transition to vertical liquid-cooled architectures and Jurong Island’s low-carbon energy corridors to survive 2026’s skyrocketing power costs.

Singapore’s cloud market has shifted from a capacity crunch to a capability crisis: you are either “AI-Ready” or obsolete. This session explores how operators are bypassing land and power constraints via the DC-CFA2 mandate and the Singapore-Johor-Batam tri-hub model to deliver the 1.25 PUE performance that hyperscalers now demand.

Singapore’s 2026 AI grid survives on grid-forming inverters and BESS to stabilize volatile cross-border renewable imports against massive, ‘spiky’ GPU power draws. This technology transforms the data center from a passive consumer into a critical frequency-regulating asset, ensuring millisecond-level stability for the region’s interconnected energy fabric.

Singapore’s AI ambitions are colliding with a 1.25 PUE limit and a mandatory 50% green energy threshold. Explore how the “Power-First” engineering is required to scale 100kW+ racks within the city-state’s finite energy envelope—leveraging Jurong Island’s low-carbon park and regional tri-hub architecture to turn grid constraints into a competitive edge.

Singapore is flipping the script on tropical heat by engineering 70°C liquid-cooled exhaust into a high-grade thermal asset for Jurong Island’s industrial tri-generation and district cooling networks. This shift transforms waste heat from an expensive liability into a sustainable revenue stream, allowing AI clusters to scale without hitting the island’s cooling-energy ceiling.

The vulnerability of the AI Factory begins at the semiconductor level, where silicon-level tampering poses an existential risk to model integrity. This session explores the implementation of Hardware Root of Trust (HRoT) and Confidential Computing to ensure only cryptographically signed firmware can execute within Singapore’s high-density GPU clusters.

The SIJORI triangle has become the world’s most intense testing ground for AI at scale, where 100kW+ rack densities have rendered traditional air cooling obsolete. This session deconstructs the shift to liquid-first architectures—from direct-to-chip to immersion cooling—essential for maintaining 1.25 PUE in the unforgiving humidity of Southeast Asia.

The cross-border hub between Singapore, Johor, and Batam has evolved from a spillover zone into a high-stakes infrastructure puzzle. Reveals the critical engineering choices—from cross-border grid synchronization to modular liquid-ready shells—that will prevent assets from becoming stranded in a decade defined by power and policy uncertainty.

Singapore’s engineers are replacing static blueprints with Physics-Informed AI to simulate and generate thousands of high-density layouts within a hyper-accurate Digital Twin. This generative approach optimizes 100kW rack placement and vertical cooling paths in real-time, guaranteeing a 1.25 PUE and regulatory compliance before construction even begins.

The shift to AI training has replaced predictable cloud power cycles with “jagged” spikes that can surge by 500% in milliseconds. This session explores how 800V DC architectures and BESS “shock absorbers” are now mandatory to stabilize the grid and protect high-density GPU clusters from these volatile loads.

As IT, OT, and AI control systems converge in Singapore’s data centers, cyber attacks can now cause physical outages. This session focuses on how operators must secure power, cooling, and control layers to protect critical infrastructure.

Singapore’s status as a global digital vault makes its data center infrastructure a primary target for “Predator Swarm” attacks. Explore how the shift from network defense to hardware-level security, focusing on protecting the physical backbone—from BMC firmware and power grids to GPU clusters—against sophisticated silicon-level breaches that bypass traditional firewalls.

As AI-scale data centers rely on increasingly complex hardware supply chains, “silicon provenance” is emerging as a critical security control. This session examines how verifying chip origin, firmware integrity, and component trust is becoming essential to protecting AI infrastructure from supply-chain compromise.

As Singapore scales its AI capacity, the industry faces a “Social License to Operate” challenge as data centers consume a larger share of national energy and water resources. Explores how operators maintain public trust through the Green Data Centre Roadmap, using radical transparency in compute-to-carbon reporting and innovative district heat-reuse pilots.

This session examines how AI workloads are reshaping data center engineering in Singapore under tight power, space, and thermal constraints. It focuses on the design choices required to support dense, latency-sensitive AI infrastructure at scale.