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Cisco's new silicon and optical innovations directly address the critical networking bottlenecks hindering the scaling of large AI clusters, enabling faster chip-to-chip data transfer for frontier models. By introducing programmable architectures and open infrastructure stacks, these developments aim to reduce power consumption and hardware costs while maintaining flexibility for hyperscalers and enterprises. This represents a significant shift in the underlying compute fabric required to support next-generation artificial intelligence workloads.

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Cisco scales programmable AI network capacity with new silicon and repluggable optics innovations

SiliconANGLE12 octombrie 20265 min de cititArticolul și perspectiva sunt în engleză.

Cisco Systems Inc. took to the stage at the annual Open Compute Project Global Summit today, unveiling a new suite of open silicon and optical networking systems as it delivered one of the event’s most eagerly anticipated keynotes. The new innovations are designed to meet the growing demands of power- and data-hungry artificial intelligence workloads. […] The post Cisco scales programmable AI network capacity with new silicon and repluggable optics innovations appeared first on SiliconANGLE.

Cisco Systems Inc. took to the stage at the annual Open Compute Project Global Summit today, unveiling a new suite of open silicon and optical networking systems as it delivered one of the event’s most eagerly anticipated keynotes. The new innovations are designed to meet the growing demands of power- and data-hungry artificial intelligence workloads. They underscore Cisco’s longstanding commitment to fulfilling these needs with an open infrastructure stack that can be deployed by hyperscalers, neoclouds and enterprises alike. Networking has become a major bottleneck in AI data centers. As frontier models…

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