
Open hardware
OCP frames collaborative, standardised infrastructure as a foundation for scaling AI and digital capacity.
A decision-focused guide to OCP Southeast Asia Tech Day at Data Centre World Asia, covering open hardware, AI infrastructure, networking, memory, power, cooling, standards and the path from inference demand to data-centre design.
OCP's Singapore programme links AI inference demand to open hardware, standardised interfaces and cross-layer infrastructure design across the complete data-centre stack.


OCP frames collaborative, standardised infrastructure as a foundation for scaling AI and digital capacity.

Networking, memory and storage sit beside accelerators as critical AI-factory design layers.

Power, liquid cooling and grid capacity connect IT architecture to physical infrastructure.
Use the programme evidence to test infrastructure requirements, supplier claims, economics and execution risk.
Identify infrastructure bottlenecks that can become defensible products, services or integration opportunities.
Separate structural demand from vendor narratives by testing deployment constraints, standards and unit economics.
Translate infrastructure themes into procurement requirements, technical diligence and deployment sequencing.
The Open Compute Project Foundation is hosting OCP Southeast Asia Tech Day at Data Centre World Asia in Singapore on 29–30 September 2026. Official OCP material describes the event as bringing together hyperscalers, colocation providers, design and construction firms, and technology innovators around open hardware, collaborative engineering and next-generation infrastructure design.
The programme sits inside Tech Week Singapore's wider “Infrastructure Era” framing. For founders, investors and enterprise buyers, that makes OCP relevant not as a standards acronym but as a way to study how AI infrastructure requirements are moving into hardware interfaces, networking, memory, power, cooling and facility architecture.
The official theme is “Architecting Inference: The OCP Path from Token Demand to Data Center Design.” OCP describes the programme as a deep dive into infrastructure intended to serve Southeast Asia's AI inference workloads through 2030, grounded in open-compute principles.
The analytical value of this framing is the top-down chain it creates: AI demand drives tokens and inference, which drive accelerator and memory requirements, which drive networking, rack density, power delivery, cooling and site-level infrastructure. Teams evaluating AI infrastructure can use that chain to avoid making isolated component decisions.
The Day 1 schedule includes Meta on standardised infrastructure for next-generation AI deployments and Arm on an open data-centre silicon vision. This indicates a strong emphasis on interoperable design and ecosystem coordination. Open approaches can reduce bespoke integration in some layers, but they do not eliminate engineering work, qualification requirements or supplier dependencies.
For procurement, the right questions include which interfaces are standardised, which are vendor-specific, how compliance is validated, and whether interoperability is proven across the intended production stack.
NVIDIA's scheduled session addresses networking for gigawatt-scale AI factories, while Broadcom's session covers scale-up networking frameworks. These topics reflect a broader infrastructure reality: accelerator performance is constrained when data and model state cannot move efficiently across the system.
Investors and buyers should therefore analyse network architecture alongside compute. Fabric topology, bandwidth, latency, congestion behaviour, optical requirements and software integration can materially affect effective cluster performance and utilisation.
Micron's programme session focuses on memory and storage in the AI value chain. That is important because inference and training systems depend on more than accelerator counts. Memory capacity, bandwidth, storage performance, data movement and checkpoint or retrieval patterns can determine how much of installed compute becomes useful output.
For startups, this creates opportunity in memory hierarchy, storage, caching, data orchestration and observability. For buyers, it means comparing complete workload performance rather than relying on processor specifications alone.
The schedule extends from servers and networks into power, cooling and facilities. Sessions include the OCP LVDC Project, a review of Singapore's liquid-cooling standard for data centres and grid-capacity strategies. This cross-layer approach is especially relevant to AI because high-density compute couples IT design with electrical and thermal systems.
A practical architecture review should therefore connect accelerator choice, network fabric, rack design, power distribution, cooling and facility constraints. Optimising one layer while ignoring the others can move the bottleneck rather than remove it.
Open standards can broaden ecosystem participation and create reusable design patterns, but the 2026 programme also shows substantial differentiation across silicon, networking, memory, power, cooling and operations. A useful commercial thesis is that openness may shift where value is captured rather than remove value entirely.
Founders should identify where integration, optimisation, certification, software and operational expertise remain scarce. Investors should test whether a company benefits from open standards through larger addressable markets or is exposed to margin compression as interfaces become more standardised.
OCP's official event material says the Tech Day connects its community with operators, designers, investors and technology partners shaping regional infrastructure. Tech Week Singapore separately positions the inaugural OCP Southeast Asia Tech Day as part of Asia's next phase of digital-infrastructure growth.
The relevant commercial questions include which OCP designs are being adopted in APAC, how local environmental and grid conditions affect implementation, whether regional supply chains can support the designs, and where qualification or localisation work creates market opportunity.
| Layer | 2026 programme signal | Diligence question |
|---|---|---|
| Compute and silicon | Meta, Arm, AMD and Google participation | Which interfaces and architectures are actually supported in production? |
| Networking | NVIDIA and Broadcom scale-up / AI-factory networking | Can the fabric sustain intended workload performance at scale? |
| Memory and storage | Micron AI value-chain session | Where are memory bandwidth, capacity or storage bottlenecks? |
| Power | LVDC, grid-capacity and energy-storage discussions | Does electrical architecture support high-density AI reliably? |
| Cooling | Singapore liquid-cooling standard review | Are thermal systems interoperable, maintainable and qualified? |
| Open standards | OCP design and standardisation themes | What is truly standardised and where does proprietary integration remain? |
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This page uses the official OCP and Tech Week Singapore programme to describe scheduled topics, speakers and event framing. A conference session or standards discussion does not establish universal interoperability, deployment readiness, economic superiority or adoption. Technical claims should be validated against the relevant OCP specifications, implementation documentation and project-specific testing.
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