analiza aiqbench
The article details Cisco's transition from isolated project clusters to a unified, multi-tenant AI factory to address GPU fragmentation and security constraints at scale. By pooling compute resources and integrating embedded security, the company achieved a tripling of GPU utilization while supporting mission-critical agentic workflows for its workforce. This infrastructure evolution is essential for enterprises moving beyond experimental prototypes to production-grade AI operations.
How Cisco Built an Enterprise AI Factory: Scaling Economics, Performance, and Security

Discover how Cisco IT modernized its infrastructure to create a secure, scalable, and cost-efficient enterprise AI factory to support mission-critical AI.
Every technology leader faces the enterprise AI paradox: as AI adoption accelerates, organizations run headfirst into external power, cost, and security constraints. Cisco IT proved that infrastructure is the ultimate control point. Keep reading and watch the short video below, or tune into the full podcast discussion, to learn how we built a full-stack, multi-tenant AI factory—tripling GPU utilization and delivering mission-critical reliability for 90,000 employees. Like most enterprises, Cisco is on an ongoing AI journey. In the beginning, our mission was simple: get AI capabilities into the hands of teams so they could prove value quickly for specific use cases. We started with dedicated, project-specific AI infrastructure clusters for individual engineering and product teams. This approach was sufficient for experimental prototypes, but then we reached…
Extras afișat conform termenilor RSS ai publicației · 126 cuvinte · textul integral și figurile sunt pe site-ul publicației
Subiecte conexe

AMD EPYC CPUs Deliver for Every Layer of the Agentic AI Stack
commondigital.commonperu.com · 21 sept. 2026

Wi-Fi 8: The next evolution in enterprise connectivity
Cisco Blogs · 20 oct. 2026

What is AI analytics? Why it only works on governed data
Databricks · 15 sept. 2026

What’s new in AI infrastructure and orchestration in October
Google Cloud Blog · 30 oct. 2026