NVIDIA and Cisco Unveil USFP Optical Module Spec Aiming for 12.8 Tbps Throughput

NVIDIA and Cisco have jointly introduced the Universal Small Form Factor Pluggable, or USFP, establishing the market's initial specification for pluggable optical transceivers capable of delivering 400Gbps signaling across each lane.¹ The physical footprint of the newly proposed package corresponds directly to the established dimensions of standard OSFP hardware.¹ Initial hardware revisions incorporate 16 full-duplex pathways, with the architectural path structured to accommodate expansions up to 32 channels or higher to reach 12.8 terabits per second of cumulative transfer speed.¹ By implementing 400G SerDes operational capability, the module achieves four times the bandwidth density compared to older 200G-per-lane pluggable solutions.¹ Alongside this raw capacity increase, the engineering parameters provide a 1.3-fold boost in relative electrical energy efficiency over those preceding interconnect iterations.¹

To solve physical wear on terminal contacts during installation and maintain channel signal fidelity, the transceiver employs a proprietary two-step insertion sequence coupled with a two-dimensional interface array.¹ The electrical and thermal specifications permit the receptacle to absorb and distribute up to 100 watts of continuous operational power.¹ This thermal threshold is handled directly within the module enclosure without requiring an isolated interior coolant loop to dissipate the heat output.² Industry documentation supports that managing this 100-watt load without internal dedicated fluid paths simplifies the broader architectural design of network switches.¹ Eliminating supplemental cooling circuitry inside the transceiver assembly prevents excessive physical complexity from spilling over into surrounding switchboard bays.¹²

The modular architecture is configured to service distinct network endpoints running at rates of 1.6Tbps while giving operators room to expand core topologies toward 12.8Tbps.² Technical analyses support that combining 400Gbps lane serialization with lane expansion from 16 to 32 or more paths allows computing centers to hit that 12.8 Tbps ceiling.¹ This high-capacity standard originated through architectural coordination linking NVIDIA's Spectrum-X Ethernet networking line with Cisco's Silicon One switching engines.² Both companies focused their shared engineering efforts on removing the bandwidth bottlenecks that typically arise between high-density accelerator clusters and distributed spine layers.²

To convert the theoretical interface into viable equipment, NVIDIA and Cisco are partnering directly with precision connector suppliers TE Connectivity and Amphenol.² These hardware partners are helping construct the mechanical fixtures and multidimensional array pins required for the standard's physical tolerances.¹² The participating sponsors do not plan to hold the connection format as a closed proprietary asset across their private supply networks.² Instead, the corporate backers intend to turn the configuration into an open hardware standard governed by a community-oriented multi-source agreement framework.²

Every cited boost in optical throughput and energy savings represents a stated design objective rather than finalized benchmark results.² The corporate steering group has not yet published independent validation figures, fabrication volumes, or anticipated shelf pricing for the parts.² NVIDIA Senior Vice President Gilad Shainer highlighted the logic of the release, arguing that deploying modern artificial intelligence factories begins with re-evaluating fundamental physical link layers.² Without redesigning foundational connections, large computational clusters risk underutilizing processor resources during extended collective training jobs.²

The optical partnership forms part of an expansive infrastructure campaign highlighted during the Open Compute Project Global Summit.⁵ At that gathering, NVIDIA released multiple shared reference blueprints and alliances targeted at standardizing structural mechanics across emerging server halls.⁵ Among the submitted designs were blueprints for the Vera Rubin server chassis and compute trays, contributed through the open NVIDIA MGX development platform.⁵ These chassis contributions allow open-source equipment builders to integrate uniform system layouts for heavy artificial intelligence installations.⁵

Alongside structural chassis schematics, the ecosystem update incorporated the revised MGX 1.2 technical specification.⁵ This standard release codifies rack-level blind-mate liquid cooling couplings to remove heat from tightly stacked electronics.⁵ The documentation also formalizes revised interconnect backplanes alongside a 5,000-ampere busbar setup dedicated to extreme power distribution requirements.⁵ These severe power and fluid-handling targets reflect the escalating physical inputs needed by modern distributed computing frameworks.⁵

The relentless escalation in interconnect speeds aligns with broader computational trends outlined by NVIDIA Chief Executive Jensen Huang at the DBS Bank forum.⁴ Huang observed that open Chinese models such as GLM, Kimi, and DeepSeek now deliver capable real-world operational execution.⁴ He indicated that more economical, open model structures will stimulate corporate entities to install autonomous intelligence pipelines across various industries.⁴ This broadening software deployment loop is anticipated to generate heightened commercial requirements for physical data center space, processing hardware, and raw calculation capacity.⁴ Looking further ahead, Huang estimated that quantum computing systems may begin reaching practical mainstream applications within a span of three to five years.⁴

Beyond core data center fabrics, high-speed compute architectures are penetrating industrial robotics and automotive navigation.³ Delta Electronics formed a strategic collaboration with NVIDIA to accelerate development on next-generation automated vehicle platforms.³ These transportation projects rely on the NVIDIA Hyperion base platform, which serves as a computing and sensor framework for robotaxis and Level 4 driverless machines.³ Hyperion operates by pairing two DRIVE AGX Thor computer modules alongside NVIDIA Halos safety software modules to guarantee real-time navigational control.³