Open Compute Project Launches AI Portal for Scalable AI Infrastructure

The Open Compute Project (OCP) has launched a centralized AI portal offering infrastructure tools, white papers, deployment blueprints, and open hardware standards. Designed to support scalable AI data centers, the portal features contributions from Meta, NVIDIA, and more, driving open innovation in AI cluster deployments.
Open Compute Project Launches AI Portal for Scalable AI Infrastructure

AI Data Center Builders Gain Centralized Access to Open Infrastructure Tools and Resources

The Open Compute Project Foundation (OCP), a nonprofit driving hyperscale-inspired innovation across the tech ecosystem, has launched a dedicated AI portal on its OCP Marketplace. This new hub offers a one-stop destination for AI cluster designers and data center architects seeking infrastructure components, white papers, deployment blueprints, and open technical standards.


Designed to support the rising demand for scalable AI-enabled data centers, the portal already features contributions from multiple technology vendors, aiming to fast-track the adoption of standardized AI infrastructure.

Addressing the Infrastructure Demands of Next-Gen AI Clusters

Hyperscale operators are now dealing with racks that consume as much as 1 megawatt (MW) per unit, pushing the boundaries of compute density, power management, and thermal performance. To address these challenges, OCP’s global community—spanning 400+ corporate members and over 6,000 engineers—is developing open and scalable standards.

The OCP’s AI strategy is built around three pillars:

  • Standardization of silicon, power, cooling, and interconnect solutions.
  • End-to-end support for open system architectures.
  • Community education via technical workshops, the OCP Academy, and the Marketplace.

According to OCP CEO George Tchaparian, “Our focus is on enabling the industry to meet AI’s growing infrastructure demands while also managing environmental and efficiency concerns.”

Overcoming AI Infrastructure Challenges with Open Compute Solutions

Several infrastructure challenges are being addressed by the OCP community:

  • Standard rack configurations supporting 250kW to 1MW.
  • Liquid cooling systems for high-density compute nodes.
  • High-efficiency, high-voltage power delivery models.
  • Scalable interconnect fabrics that allow performance tuning.
  • Automated management frameworks to support near-autonomous operations.

As part of the Open Systems for AI initiative, OCP has recently released a Blueprint for Scalable AI Infrastructure and hosted a technical workshop focused on physical infrastructure requirements.

Meta and NVIDIA Join Forces on Open AI Hardware Contributions

Strategic contributions from industry giants back the launch of the AI portal. Meta submitted the Catalina AI Compute Shelf, designed to support high-density workloads with NVIDIA GB200 capabilities. Based on OCP’s ORv3 rack standard, Catalina supports up to 140kW and includes Meta Wedge fabric switches tailored to the NVIDIA NVL72 architecture.

This follows NVIDIA’s earlier donation of its MGX-based GB200-NVL72 platform, which includes:

  • Reinforced OCP ORv3-compatible racks.
  • 1RU liquid-cooled compute and switching trays.

Together, these contributions provide standardized, high-performance, liquid-cooled hardware options critical to building scalable AI clusters.

Building a Future-Ready Standard for AI Infrastructure with OCP

The Open Systems for AI initiative, launched in January 2024, addresses the industry’s demand for consistent design frameworks for AI infrastructure. The rise of AI as a primary workload, alongside high-performance computing (HPC) and Edge/MEC deployments, has highlighted the need for shared standards across power, cooling, interconnect, and orchestration.

IDC’s Ashish Nadkarni notes, “First-generation AI clusters were developed in silos, leading to inefficiencies. OCP’s approach provides a platform for collaboration and standardization that can reduce costs and accelerate future deployments.”

Upcoming OCP Events to Highlight Advances in AI Cluster Infrastructure

OCP plans to spotlight its AI infrastructure progress at several upcoming community events, including:

  • OCP AI Strategic Initiative Technical Workshop Series
  • OCP Canada Tech Day
  • OCP Southeast Asia Tech Day
  • OCP APAC Summit
  • OCP Global Summit

These gatherings are expected to feature the latest open-source hardware, cooling, and system design strategies for scalable AI infrastructure.

About the Open Compute Project Foundation

The Open Compute Project Foundation was established to share the efficiency, sustainability, and scalability innovations developed by hyperscalers. It brings together technology stakeholders from across the ecosystem—cloud providers, enterprises, telecoms, colocation operators, and hardware vendors.

With a community-first model and projects that span from silicon to systems to site facilities, OCP continues to shape the future of data center and Edge infrastructure.


Recent Content

Microsoft has upgraded its 365 Copilot with AI-driven tools—Researcher and Analyst—designed to handle deep research, strategic analysis, and data insights. Powered by OpenAI models, these features allow users to perform complex tasks like market planning, client reporting, and advanced analytics, while integrating data from platforms like Salesforce and Confluence.
AI is transforming supply chain management by enhancing demand forecasting, optimizing inventory, and streamlining logistics. With the rise of Generative AI, businesses gain real-time insights for better efficiency and sustainability, from ethical sourcing to reducing carbon footprints. Companies like Fujitsu are leading the way with AI-powered solutions across logistics, quality control, and food/pharma safety.
AMD and Rapt AI are partnering to improve AI workload efficiency across AMD Instinct GPUs, including MI300X and MI350. By integrating Rapt AI’s intelligent workload automation tools, the collaboration aims to optimize GPU performance, reduce costs, and streamline AI training and inference deployment. This partnership positions AMD as a stronger competitor to Nvidia in the high-performance AI GPU market while offering businesses better scalability and resource utilization.
Observe.AI has unveiled VoiceAI agents—intelligent, realistic voice-powered AI tools designed to automate contact center operations. These AI agents manage routine customer interactions using advanced voice technology, reduce support costs by up to 80%, and integrate easily with tools like Salesforce and Zendesk. With features like interruption detection and robust data security, VoiceAI agents mark a leap forward in contact center automation.
At the ETTelecom 5G Congress 2025, top Indian telecom players shared strategies for 5G growth, AI integration, and future tech like 6G. Bharti Airtel emphasized Fixed Wireless Access (FWA), Jio highlighted AI and its 6G roadmap, while Vodafone Idea focused on delivering high-quality 5G user experiences. With 84% population 5G coverage and India targeting 1 billion users by 2030, the telecom industry is at a pivotal moment.
The emergence of “vibe coding,” a term representing AI-driven software development, presents both opportunities and risks to the industry. This approach, emphasizing prompt engineering and AI-generated code, can potentially increase productivity and democratize development, but it also introduces concerns about code reliability, skill degradation, and dependence on AI. To harness the benefits of AI while mitigating these risks, developers must prioritize robust testing, clear coding standards, and a balance between intuitive insights and rigorous technical practices, ensuring that the fundamentals of software development are not lost.
Whitepaper
Download the 5G Assurance Operator Survey conducted on behalf of RADCOM by TeckNexus. Get the viewpoint from the 5G operators' operational team....
Radcom Logo

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top