OCP Expands Open Data Centre Ecosystem to Power Next-Generation AI Infrastructure
BARCELONA, April 30 — The Open Compute Project Foundation has unveiled a major expansion of its open data centre ecosystem, introducing new standards, collaborations and technical frameworks aimed at accelerating the development of artificial intelligence infrastructure at scale.
The initiative strengthens OCP’s vision of an open, interoperable ecosystem that spans the entire AI value chain — from semiconductor design to energy systems — as demand for high-performance computing continues to surge globally.
Driving Standardisation Across AI Infrastructure
The latest announcement includes a broad set of newly approved contributions that address key technical and operational challenges faced by modern data centres.
Among them are updated design principles for machine learning infrastructure, new approaches to low-voltage direct current (LVDC) power distribution, and enhanced safety standards for energy storage systems.
OCP has also introduced improved telemetry frameworks to support real-time monitoring and management of IT and operational technology, alongside expanded networking standards using Ethernet to support large-scale AI workloads.
In addition, the organisation unveiled new specifications for its Open Rack ecosystem, including the Open Rack Wide (ORW) design, as well as reference architectures for building AI clusters more efficiently.
Responding to Industry Demand
Chief executive George Tchaparian said the new contributions are designed to address critical bottlenecks in deploying AI data centres, particularly as hyperscale operators continue to expand capacity.
He noted that collaboration within the OCP community has become increasingly vital, especially following industry calls from major technology firms for more coordinated efforts to tackle infrastructure challenges.
With global investment in AI data centres showing no signs of slowing, standardisation and shared innovation are seen as essential to improving efficiency and scalability.
New Projects Target Key Challenges
To support ongoing development, OCP has launched several new projects and workstreams focused on three major areas.
The first centres on AI data centre facilities, including reference designs, energy optimisation and operational technologies.
The second focuses on connectivity, with initiatives aimed at improving Ethernet-based networking and enhancing the reliability of optical systems used in high-performance computing environments.
The third addresses the next phase of AI workloads, particularly inference, through the development of scalable and modular computing frameworks under the concept of an “AI Computing Continuum”.
This approach seeks to extend AI capabilities beyond traditional hyperscale data centres into enterprise, telecom and industrial environments.
Energy Efficiency and Power Innovation
A significant focus of the initiative is improving energy efficiency and power management.
OCP is promoting the transition from traditional alternating current (AC) systems to hybrid or fully direct current (DC) architectures, which can deliver higher efficiency and support increasing power density requirements.
These advancements are expected to play a crucial role in enabling next-generation AI systems, which demand significantly more energy and computing capacity.
Strengthening Global Partnerships
The organisation has also formed new alliances to expand its ecosystem.
Collaboration with the Electric Power Research Institute aims to explore how data centres can function as flexible resources within power systems, supporting grid stability and digital innovation.
Another partnership with the IOWN Global Forum focuses on building high-speed, low-latency computing infrastructure that connects centralised and edge environments seamlessly.
These partnerships are expected to accelerate the adoption of new technologies and improve interoperability across different systems and regions.
Industry Perspective on Future Growth
Industry analysts say the push for deeper integration across computing, networking and energy systems is becoming increasingly important as AI workloads grow in complexity.
Ashish Nadkarni, a senior executive at IDC, noted that the expansion of OCP’s scope to cover the entire infrastructure stack aligns with market demand for more cohesive and scalable solutions.
Towards an Open AI Infrastructure Future
As AI continues to reshape industries, the need for flexible, scalable and efficient infrastructure is becoming more urgent.
OCP’s latest developments highlight the importance of open standards and collaborative innovation in meeting these demands, positioning the organisation at the centre of efforts to build the next generation of AI-ready data centres.
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