3M, Oracle, Meta Launch Coalition for AI Data Center Optical Standards

A coalition of 17 technology companies announced a new multi-source agreement (MSA) on May 12, 2026, targeting standardized specifications for expanded beam optical (EBO) connectivity in AI data centers. The initiative addresses growing physical layer constraints as hyperscale AI deployments push traditional multi-fiber connectors to their limits.

The MSA brings together 3M, AMD, Arista Networks, Cisco, Meta, Oracle, Senko, and 10 other industry players to develop open, interoperable EBO connector standards. The official press release details the collaborative framework for shared specifications across multiple EBO connector configurations.

Expanded beam optical technology differs fundamentally from traditional physical contact connectors. Instead of direct fiber-to-fiber contact, EBO uses lenses to expand the optical beam before transmission, reducing sensitivity to contamination and mechanical wear. This matters when technicians are threading hundreds of cables through cramped rack spaces where dust accumulation is inevitable.

Oracle's Rajagopal Subramaniyan, senior vice president of OCI networking, serves as co-chair of the MSA. He noted that strict connector hygiene requirements currently slow network builds and add operational overhead for ongoing link triage. The expanded beam approach aims to overcome these bottlenecks while enabling more resilient cluster topologies.

3M's Alex An, vice president of the data center vertical, emphasized the need for solutions that are not only high-performance but also interoperable across a growing ecosystem. The company's participation builds on its broader materials science work in data center infrastructure, including heat management and power solutions.

Jim Hasegawa, president of the Optical Communications Division at SENKO, highlighted the industry's increasing demand for reliability alongside performance. The MSA targets seamless integration across transceivers, backplanes, and cable assemblies—a critical consideration when replacing thousands of connectors across distributed facilities.

The initial technical working group has already begun developing the first connector specification. Membership remains open to additional contributors across the data center and networking ecosystem. More information is available at www.ebomsa.org, with Richard Ward serving as MSA administrator and co-chair.

This standardization effort arrives as AI infrastructure spending accelerates. Traditional multi-fiber connectors require meticulous cleaning and inspection before each mating cycle. A single contaminated connector can introduce signal loss or complete link failure, forcing technicians to trace problems through dense cable bundles (a tedious process that has frustrated operations teams for years).

EBO technology reduces this friction by tolerating minor contamination without performance degradation. The physical reality: technicians can plug connectors in faster, with less risk of damaging fiber ends, and with fewer failed links requiring rework. For operators managing tens of thousands of connections, this compounds into measurable deployment time savings.

The coalition's composition signals broad industry alignment. Founding members span component suppliers, transceiver manufacturers, and hyperscale operators. This cross-section suggests the standards will carry weight across the supply chain, potentially reducing vendor lock-in and encouraging competition on price and performance rather than proprietary compatibility.

Whether the MSA translates into widespread adoption depends on execution speed and backward compatibility considerations. Existing data center investments in physical contact infrastructure won't disappear overnight. Operators will need clear migration paths and cost-benefit analysis before committing to new connector standards at scale.

The real test comes when these specifications move from paper to production. Standards bodies have announced ambitious timelines before, only to see fragmented implementation years later. Whether this coalition delivers usable, deployed standards—or another shelf of technical documents—remains the actual question.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn