Marvell is bringing a broad AI-infrastructure stack to the 2026 Open Compute Project Global Summit, including a 102.4-terabit Ethernet switch, CXL memory expansion, 1.6T optical connectivity, PCIe 6.0 storage and integrated hardware security.
The company’s October 8 announcement says the demonstrations will run during OCP Global Summit 2026 in San Jose from October 12 through October 15. The lineup is notable because it shows how the AI hardware race is expanding beyond accelerators themselves into the infrastructure needed to keep expensive compute fed with data.
The Open Compute Project says this year’s summit is focused on scaling open compute infrastructure for the AI era. The event is sold out, with recorded sessions expected to be posted afterward.
The Headliner Is a 102.4T Ethernet Switch
Marvell plans to demonstrate its Teralynx T100, a 3nm Ethernet switch ASIC rated at 102.4 Tbps. That class of switch targets large AI fabrics where thousands of accelerators exchange data across scale-out networks.
The hardware fits directly into the leaf-spine and ECMP concepts covered in BitcoinVersus.Tech’s Data Center Network Fabrics lesson. Faster accelerators do not help much if the fabric cannot move enough data between them with low latency and predictable congestion behavior.
Marvell Technology — official introduction to the 102.4T Teralynx T100 data-center switch ASIC.
Marvell Is Also Attacking the Memory Wall
Another major part of the OCP showcase is the Structera CXL portfolio. CXL allows systems to expand and pool memory beyond the DRAM directly attached to one processor. That matters because large AI inference workloads can become constrained by memory capacity and bandwidth even when accelerator compute is available.
Marvell says it will show Structera memory expansion and acceleration alongside switching, storage and interconnect technologies. The broader idea is to treat memory as an infrastructure resource that can be expanded or shared rather than as a fixed amount permanently attached to one server.
Marvell Technology — the company has been publicly emphasizing memory, systems and interconnect co-design as AI models push conventional server architectures harder.
Optics Are Moving Closer to the Compute
Marvell’s OCP list also includes its Ara 1.6T transmit-retimed optical DSP, 400G-per-lane PAM4 work, COLORZ 800G ZR/ZR+ modules with MACsec, 1.6T active electrical cables and 200G/300G active copper connectivity.
That mix reflects a basic physical constraint: copper remains useful at short distances, but bandwidth, reach and power pressure increasingly push optical links deeper into large AI systems. BitcoinVersus.Tech recently covered Ciena’s push toward 6.4T optics and 200T AI interconnects, another example of the industry trying to move more bits with less energy per bit.
NextGenInfra — Marvell demonstrates how optical connectivity can extend AI scale-up and pooled-memory systems across multiple racks.
Storage and Security Are Part of the Same Stack
Marvell also plans to show its Bravera PCIe 6.0 SSD controller and an integrated hardware security module. That matters because AI infrastructure is not just a GPU-and-network problem. Training data, model checkpoints, inference caches and large datasets all have to move between storage and compute, while operators also need secure boot, key handling and trusted hardware boundaries.
The company says its OCP program includes 14 sessions covering networking, memory, storage and security. One session focuses on a proposed common abstraction for UALink scale-up switches, while others cover composable memory and hardware key distribution.
The Bigger Story Is AI Infrastructure Becoming a System Problem
The industry spent the first phase of the generative-AI boom focused heavily on accelerator supply. The next bottlenecks are increasingly distributed across the rest of the rack and the data center: memory capacity, Ethernet switching, optical reach, storage bandwidth, power delivery and security.
That is why the line between networking and optical transport is also getting thinner. The programmable optical systems described in BitcoinVersus.Tech’s ROADM and Optical Line Systems lesson sit farther out in the network, but they are responding to the same underlying pressure: AI clusters need more bandwidth across more distances without allowing power consumption to scale at the same rate.
What Is Confirmed
Marvell has confirmed that its OCP 2026 demonstrations will include Teralynx T100 102.4T switching, Structera CXL memory technologies, 1.6T optical and electrical interconnects, 800G ZR/ZR+ connectivity, PCIe 6.0 storage control and hardware security. OCP confirms the summit runs October 12–15 in San Jose.
What remains to be proven is how quickly these technologies move from demonstrations and qualification into broad production deployments, and which combinations become standard inside hyperscale AI systems.
Editor’s Note
Product capabilities and event demonstrations described here come from Marvell and should not be treated as independent performance validation. The article separates announced specifications from broader interpretation about AI-infrastructure bottlenecks.
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