October 12th 2026, 3:04 PM
Nvidia Cisco Optics Push Data Center Efficiency
Key Summary
Nvidia, Cisco, and partners introduce a new pluggable optics format designed for AI data centers, aiming to improve power efficiency and reduce costs. The new form factor is expected to cut power consumption by approximately 50% for optical modules and 30% overall for switches.
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Introduction
The introduction of a new pluggable optics format by Nvidia, Cisco, and partners marks a significant step forward in the development of AI data centers.What the Four Companies Are Building
Pluggable optics are small modules that slot into network switches, turning electrical signals into light to enable data transmission between servers.Cisco's 800G LPO Solutions
Cisco has unveiled its 800G Linear Pluggable Optics (LPO) solutions, which cut power consumption by approximately 50% for the optical modules and 30% overall for the switch.Nvidia's Parallel Bet on Co-Packaged Optics
Nvidia has also been championing co-packaged optics (CPO), which move the optical engine next to the switch chip instead of putting it in a separate module.Benefits of Co-Packaged Optics
CPO reduces the number of lasers needed by four times, claims 3.5 times better power efficiency, 63 times better signal integrity, and ten times better resiliency than traditional pluggables.Deployment and Availability
Deployment of CPO is expected to be 1.3 times faster, according to Nvidia, and Quantum-X switches are expected to become available between late 2025 and early 2026, with Spectrum-X Photonics expected in the second half of 2026.Why Pluggables Are Not Going Away
Pluggables offer flexibility, allowing operators to mix vendors, replace a failed module without touching the switch, and upgrade in pieces.What This Means for the AI Networking Market
Shipments of 800G-and-faster transceivers are projected to exceed 24 million units in 2025, driven by AI cluster buildouts.Conclusion
The introduction of the new pluggable optics format by Nvidia, Cisco, and partners is expected to have a significant impact on the AI data center market, driving efficiency and reducing costs.#AI#DataCenter#Nvidia#Cisco#Optics#AINetworking#US