As AI/ML initiatives develop to new heights, the community has develop into a important enabler for innovation and enterprise progress. At Cisco, we acknowledge that at present’s AI clusters can not be confined inside a single knowledge middle. As an alternative, a “scale-across” method is required to seamlessly lengthen AI workloads and optimize assets throughout a number of knowledge middle places.
Energy constraints and resiliency necessities are inflicting hyperscalers, neoclouds, and enterprises to embrace distributed AI clusters that span campus and metro areas, all of which want safe, high-performing, high-capacity, and energy-efficient connectivity. That’s why we’re excited to introduce the Cisco 8223, our newest addition to the Cisco 8000 fastened collection, optimized for large-scale disaggregated materials inside and throughout knowledge facilities, enabling prospects to scale AI infrastructure with unmatched effectivity and management.
Support authors and subscribe to content
This is premium stuff. Subscribe to read the entire article.
