Cisco IT needed to build an AI cluster to support model training and inferencing for multiple teams across the business.
Cisco product teams needed a way to run AI workloads that would be used to develop and test new AI capabilities in Cisco products. But, existing data center facilities weren’t built to power modern AI.
Cisco IT designed an AI infrastructure with Cisco compute, best-in-class GPUs from NVIDIA, and Cisco networking. They built a front-end ethernet network and a backend lossless ethernet network — ensuring a reliable, high performing, scalable network.
The backend of the AI network fabric was deployed in under 3 hours and the entire AI infrastructure was designed and deployed in 3 months, 80% faster than the alternative rebuild.
The new infrastructure now supports more than 25 use cases across the business, with more added every week.
Cisco IT maximized agility to power any workload, traditional or AI, at massive scale, no matter where the data lives.
Jon Woolwine, Technical Systems Engineering and Jag Kahlon, Principal IT Engineer, explain how this new infrastructure was launched in only 3 months and expanded to support dozens of use cases.
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