Cisco and Nvidia Unveil USFP Optical Module With 12.8 Tbps Bandwidth for AI Datacenters

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Cisco and Nvidia announced USFP (Ultra-Dense Small Form Factor Pluggable), the first 400G-per-lane optical module designed to deliver up to 12.8 Tbps bandwidth for AI datacenters. The next-gen network interface provides 4x the bandwidth density and 1.3x better power efficiency than current 200Gbps-per-lane modules, enabling AI infrastructure to scale without adding network tiers or overhauling existing deployment models.

Cisco and Nvidia Introduce USFP to Transform AI Connectivity

Cisco and Nvidia have jointly announced plans for the Ultra-Dense Small Form Factor Pluggable (USFP), a next-gen network interface designed to address the escalating bandwidth demands of AI datacenters

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. Unveiled at the Open Compute Project (OCP) global summit, USFP represents the first pluggable optics form factor capable of supporting 400G-per-lane electrical signals, delivering up to 12.8 Tbps of aggregate capacity

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. This development addresses a critical challenge facing AI infrastructure: connecting thousands of AI accelerators, NICs, and switches while managing power consumption, network complexity, and operational costs

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Delivering 4x Bandwidth Density and Enhanced Power Efficiency

USFP promises to deliver four times the high-bandwidth density of existing 200Gbps-per-lane pluggable optics while providing approximately 1.3x greater power efficiency

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. The first planned USFP-based optical module will pack 16 full-duplex lanes into a footprint roughly the size of existing OSFP modules, delivering 6.4 Tbps of aggregate capacity

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. By doubling both the lane count and bandwidth per lane, USFP enables AI connectivity solutions to connect more 1.6 Tbps endpoints without adding network tiers, which typically increase latency, power consumption, and costs

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. Future versions could expand to 32 full-duplex lanes or more, potentially achieving the full 12.8 Tbps bandwidth capacity

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Simplifying AI Datacenter Cabling and Infrastructure

Source: TechSpot

Source: TechSpot

The USFP optical module addresses the tangled web of fiber optic cables that characterize modern AI datacenters

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. A single USFP pluggable transceiver could consolidate eight GPUs worth of cabling into a single fiber optic bundle, significantly simplifying infrastructure

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. On the switch side, a future 204.8 Tbps switch would require only 16 USFP ports to support 128 1.6 Tbps endpoints

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. This consolidation helps AI infrastructure operators scale compute within the same network footprint while decreasing networking's share of the overall AI factory power budget

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. The technology supports AI workloads ranging from training and inference to emerging agentic AI systems that demand continuous communication across accelerators, applications, storage, and services

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Engineering Innovations Enable Higher Performance

Achieving 400G-per-lane performance requires significant engineering advances. USFP employs a two-dimensional array connector with a two-step insertion mechanism that engages high-speed contacts only after the module is inserted, reducing contact wear and improving signal integrity

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. The design supports power dissipation of up to 100 watts without requiring a dedicated cooling circuit inside the transceiver, simplifying switch construction while accommodating the heat generated by higher-bandwidth optical connections

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. Cisco acknowledges this represents a significant jump from today's high-end pluggable optics, which typically pull around 20 watts

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. The architecture also supports optical designs that reduce latency and power consumption by simplifying signal processing

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Building an Open Industry Standard Ecosystem

Source: Wccftech

Source: Wccftech

Cisco and Nvidia are collaborating with TE Connectivity and Amphenol to develop connectors, cages, and modules for the USFP interface, with additional partners expected to join

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. The companies plan to establish USFP as an open industry standard through a community-led multi-source project, ensuring anyone can use the technology in their designs

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. This approach preserves the independently field replaceable modules, mature supply chains, and interoperability across suppliers that data center operators value

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. "Building the world's largest AI factories starts with rethinking the smallest of connections," said Gilad Shainer, senior vice president at Nvidia

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Nvidia's Strategic Interest Beyond Co-Packaged Optics

Nvidia's participation in USFP development is notable given the company has largely moved toward co-packaged optics in its most recent Spectrum-X and Quantum-X switches, which deliver roughly 30 percent power savings by eliminating pluggables on the switch side

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. However, Nvidia's NICs still rely on pluggable optics to offer integrators greater flexibility, particularly for smaller deployments using top-of-rack switches where direct attach copper cabling remains viable

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. The timing aligns with Nvidia's Vera Rubin Ultra platform, teased in early 2025, which promises 115.2 Tbps scale-out bandwidth per rack for 600 kW racks packing 144 GPUs, translating to approximately 3.2-6.4 Tbps of bandwidth per GPU package

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. Cisco's initial USFP spec calls for 16 400 Gbps links per pluggable, delivering exactly 6.4 Tbps of bandwidth

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. The first USFP transceivers will support both switches and SuperNICs, specialized accelerator cards that move data directly between GPUs using the RoCE protocol

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Microsoft Adopts Cisco Silicon for Multi-Datacenter AI

Source: SiliconANGLE

Source: SiliconANGLE

Alongside the USFP announcement, Cisco revealed that Microsoft is using its Silicon One P200 routing chips to distribute AI workloads across multiple datacenters in what Nvidia calls "scale across networking"

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. Cisco touts the P200 as the first 51.2 Tbps systems deployed in production by leading hyperscalers

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. Microsoft was among the first major hyperscalers to embrace scale-across networking with its Fairwater clusters in Wisconsin and Georgia, using this approach to overcome local power constraints

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What This Means for AI Infrastructure Evolution

USFP represents a strategic bet that pluggable optics will remain relevant alongside co-packaged optics and other emerging optical architectures in AI infrastructure

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. Bill Gartner, senior vice president at Cisco, emphasized that "AI builders need an interconnect architecture that can scale performance without locking them into a more complex operating model"

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. The technology allows organizations to embrace next-generation optical technology without overhauling their data center infrastructure or abandoning established operational models

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. However, the companies have not disclosed independent test results, production volumes, pricing, or commercial launch dates for USFP modules

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. Watch for how quickly the ecosystem of TE Connectivity, Amphenol, and other manufacturers can deliver compatible components, and whether USFP's power efficiency claims hold up in production deployments as AI factories continue scaling toward increasingly power-constrained environments.

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