NVIDIA and Cisco have announced a new networking standard for AI data centres, designed to connect more computing systems without expanding existing network infrastructure.
The companies unveiled the Ultra-Dense Small Form Factor Pluggable (USFP) module at the Open Compute Project (OCP) Global Summit in Santa Clara, California. USFP supports electrical signals of up to 400 gigabits per second (Gb/s) per lane.
According to the companies, the technology offers four times the bandwidth density and around 1.3 times the power efficiency of existing 200 Gb/s-per-lane optical modules. NVIDIA and Cisco are developing the standard with TE Connectivity and Amphenol to support wider industry adoption.
The announcement forms part of NVIDIA’s wider push to expand open standards for AI infrastructure. At the summit, the company also contributed designs for its Vera Rubin rack and compute trays through its open MGX architecture.
As AI models grow and demand for AI inference increases, data centres must connect more computing systems while managing power consumption, costs and network complexity. Traditional expansion can require additional switches and optical links, increasing latency and energy use.
USFP aims to address these challenges by increasing the amount of data that networks can carry within the same physical footprint. The first planned modules will feature 16 full-duplex lanes in a design similar in size to the widely used Octal Small Form Factor Pluggable (OSFP) module.
The companies plan to expand the design to 32 lanes or more.
The module can deliver up to 12.8 terabits per second (Tb/s) in total capacity. This could help AI infrastructure operators connect more computing resources without adding network layers or overhauling existing data centre infrastructure.
“Building the world’s largest AI factories starts with rethinking the smallest of connections,” said Gilad Shainer, Senior VP of Networking at NVIDIA.
He said companies were building an ecosystem to connect more computing systems more efficiently and support the next generation of AI factories.
NVIDIA also announced software components for managing AI infrastructure and worked with industry partners on standards for data centre design and power grid resilience.
Meta is adopting NVIDIA’s Spectrum-6 Ethernet switches for its AI infrastructure, while NVIDIA and Google announced support for Google’s Falcon transport protocol on future NVIDIA networking products.
As for USFP, Cisco said the technology would allow AI infrastructure to scale without adding operational complexity. “It is designed to deliver a new level of bandwidth density while preserving the serviceability, deployment flexibility and operational simplicity of pluggable optics,” said Bill Gartner, Senior VP and GM of Optical Systems and Optics at Cisco.
The design also supports up to 100 watts of power dissipation without requiring a separate, dedicated cooling circuit within the transceiver. Its connector design aims to reduce contact wear and improve signal reliability.
NVIDIA and Cisco are working with TE Connectivity and Amphenol to develop the module’s cages, connectors and optical components. The companies plan to advance USFP through a community-led, multi-source project, allowing suppliers to develop compatible hardware.
- Anthropic Posts $17 Bn in Q3 Revenue, Swings to Operating Loss
- OpenAI Signs Four Agreements With Abu Dhabi Across Government, Energy And Investment
- Deep-Tech and Green Finance to Drive India’s Climate Investments in 2027
- Google’s Project Suncatcher Satellite Generates First AI Response in Orbit
- DeepSeek Proposes Super-Agent Architecture to Automate AI Coding Workflows
- Arrowhead AI Launches Fletch Voice Model for Multilingual Customer Calls

