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The OCI MSA: Building the Universal Optical Foundation for Next-Generation AI Clusters

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The OCI MSA: Building the Universal Optical Foundation for Next-Generation AI Clusters

The OCI MSA is a consortium establishing an open, silicon-integrated optical interconnect standard to replace copper bottlenecks, ensuring a scalable and interoperable foundation for the next generation of AI infrastructure.

03/16/2026

Key Highlights

  • Led by major hyperscalers such as Broadcom, Meta, Microsoft, and NVIDIA, the OCI MSA establishes an open, interoperable specification to dismantle proprietary barriers and foster a multi-vendor optical supply chain.
  • The initiative addresses the physical wall of traditional copper cabling by introducing advanced optical architectures that provide the reach and power efficiency necessary for scaling massive AI clusters.
  • By shifting from external pluggable modules to integrated optical I/O chiplets and Co-Packaged Optics (CPO), OCI significantly boosts bandwidth density while reducing link power consumption from ~30W to ~9W.
  • OCI serves as a universal foundation or vocal cords for the data center, enabling proprietary protocols like NVLink and open standards like UALink to coexist on a common, standardized physical layer.
  • The consortium leverages demand-side pressure from its founding members to mandate OCI compliance in procurement, ensuring a de-risked, multi-generational roadmap that scales to 3.2Tbps per fiber and beyond.

The News

The Optical Compute Interconnect (OCI) Multi-Source Agreement (MSA) group announced its formation, led by founding members AMD, Broadcom, Meta, Microsoft, NVIDIA and OpenAI. This industry consortium marks a pivotal shift toward a hyperscaler-driven open ecosystem to enable the development of a multi-vendor supply chain for optical scale-up interconnects. By aligning on an open specification, the OCI MSA members are promoting a robust optical ecosystem which will ensure that the future of AI interconnects is built with a flexible, multi-vendor foundation to meet the optical interconnect needs of modern AI infrastructure. For more information, read the press release.

Analyst Take

The formation of the OCI MSA seeks to usher in a new era in AI infrastructure. This consortium, spearheaded by industry players such as Broadcom, NVIDIA, Meta, AMD, and Microsoft, signals a deliberate move toward an open, hyperscaler-driven ecosystem. By establishing a unified industry specification, the group aims to dismantle proprietary barriers and foster a diverse, multi-vendor supply chain for high-performance optical interconnects.

The shift is driven by the sheer physical demands of evolving Large Language Models (LLMs). As AI clusters grow in complexity, traditional copper cabling is hitting a physical wall, struggling with limited reach and massive power consumption. OCI is designed to replace these copper bottlenecks with advanced optical architectures, enabling AI systems to scale up without being held back by the electrical limitations of legacy hardware.

Technically, the OCI specification reimagines how components communicate by moving away from external pluggable modules and toward deep silicon integration. By leveraging Wavelength Division Multiplexing (WDM) and Non-Return to Zero (NRZ) modulation, the architecture optimizes for three critical pillars:

  • Power Efficiency: Matching the low energy profiles of copper while providing vastly improved performance.
  • Bandwidth Density: Packing more data throughput into smaller physical footprints.
  • System Scalability: Enabling massive AI domains to function as a single, cohesive unit.

Beyond Copper: Scaling AI Clusters with Interoperable Optical Physical Layers and 3.2Tbps Roadmaps

We see the OCI MSA as transforming AI infrastructure by replacing proprietary silos with a plug-and-play ecosystem. By establishing a common optical physical layer (PHY), OCI allows hyperscalers to mix and match top-tier processors (XPUs) with high-performance switches from different vendors. This interoperability ensures that the most advanced compute engines are no longer locked into specific hardware, creating a flexible environment where state-of-the-art optics and silicon can finally evolve in lockstep.

For the broader supply chain, OCI provides a much-needed standardized roadmap that lowers integration risks. By defining a clear path across multiple hardware generations, it shortens development cycles and provides a predictable, multi-vendor framework for deployment. This shift is critical for the AI rack supply chain, as it enables manufacturers to invest in long-term infrastructure with the confidence that their components will remain compatible with future upgrades.

The OCI specification is engineered to scale alongside the explosive growth of AI workloads, moving from initial high-density interfaces to massive throughput capabilities. Key technical advantages include:

  • Scalable Throughput: Starting with 200Gbps per direction (GEN1) and 400Gbps bidirectional (GEN2) using NRZ modulation, the roadmap scales to 3.2Tbps per fiber and beyond.
  • Versatile Form Factors: The standard supports a wide range of deployment models, including traditional pluggable modules, on-board optics, and Co-Packaged Optics (CPO) for maximum density.
  • Performance Without Compromise: OCI achieves the power efficiency and low latency traditionally associated with copper, but with the vastly superior reach and bandwidth density required for modern GPU clusters.

Looking Ahead

We believe that for the OCI MSA to evolve from a technical whitepaper into the definitive gold standard for AI infrastructure, it must bridge the high-stakes gap between theory and mass-market deployment. The group's success depends on its ability to serve as a universal physical foundation, the vocal cords of the data center, while other groups focus on the protocols or languages chips speak. By remaining strictly agnostic, OCI can become the neutral ground where proprietary systems such as NVIDIA’s NVLink and open standards like UALink coexist on the same optical physical layer, making it an indispensable utility for every hardware vendor in the space.

Beyond connectivity, we discern that OCI’s long-term viability rests on its ability to solve the yield intelligence crisis inherent in advanced manufacturing. Integrating optics directly into a high-value GPU package introduces significant risk; a single failed laser could render an expensive processor useless. To overcome this, the consortium must standardize rigorous reliability metrics and known good die (KGD) protocols. By implementing predictive maintenance that detects failing components before they crash a massive training job, OCI can provide the stability required for the next generation of super-intelligence.

A major technical win for OCI will be the successful promotion of Optical I/O chiplets, moving the optical engine inside the processor package to drastically reduce power consumption. If the MSA ensures these chiplets are interoperable, it enables a designer to pair their own silicon with another vendor’s optical engine without a total redesign. This shift transforms a 1,000-GPU cluster into a single, cohesive unit, cutting link power from roughly 30W to just 9W and proving that optics can be more efficient than the copper legacy it seeks to replace.

The most powerful driver for OCI is the unique demand-side pressure from its founding members, such as Meta, Microsoft, and OpenAI. Unlike traditional vendor-led groups trying to push a product, these hyperscalers are the customers who hold the checkbooks. By mandating OCI compliance in their multi-billion dollar procurement cycles, they force silicon vendors to align with the roadmap. When combined with a clear demonstration of lower Total Cost of Ownership (TCO) through reduced cooling and power infrastructure, OCI becomes the obvious choice for scaling the world's most ambitious AI domains.

Author Information

Ron Westfall | VP and Practice Leader for Infrastructure and Networking

Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.

His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.