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Cisco and NVIDIA introduce 400G optics for AI networking with fourfold bandwidth density

Cisco and NVIDIA announced a partnership at the Open Compute Project Global Summit 2026 to develop an open industry specification for 400G-per-lane pluggable optics. The new design aims to deliver four times the bandwidth density of previous modules while improving energy efficiency, targeting AI workloads in data centers and cloud services.

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Key points

  • Cisco and NVIDIA’s 400G optics offer four times the bandwidth density with lower power use for AI workloads
  • Cisco’s G302 silicon and ‘Scale-Across’ architecture target data center efficiency and latency reduction
  • SONiC OS and Live Protect (mid-2027) aim to ease small business adoption of AI infrastructure

Cisco’s Silicon One portfolio is expanding with G300-powered systems and the 1.6T G302 silicon, designed for top-of-rack deployments. The company also introduced the ‘Scale-Across’ architecture to reduce congestion and latency for distributed AI workloads. For small businesses, Cisco’s SONiC open-source operating system and the upcoming Live Protect feature (rolling out mid-2027) aim to simplify adoption and cybersecurity management. Microsoft’s Anand Ramakrishna praised NVIDIA’s P200 architecture for supporting cloud and high-performance services, highlighting industry collaboration.

The story so far

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  1. Cisco and NVIDIA introduce 400G optics for AI networking with fourfold bandwidth densitythis story
Full story from Small Business Trends · by David WilsonOpen source ↗

Cisco and NVIDIA Unveil Groundbreaking 400G Optics to Boost AI Networking

Small Business Trends · 29 October 2026

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This text was published by Small Business Trends and written by David Wilson. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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CiscoNVIDIAMicrosoftOpen Compute ProjectKevin WollenweberAnand Ramakrishna

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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