Speaker
Description
Artificial Intelligence (AI) set new demands on current data center infrastructure as it is undergoing a paradigm shift to be able to cope with the new demands possessed by AI clusters to support various use cases. AI clusters can be built in various sizes based on specific needs and workloads. This presentation will explore the data center network infrastructure evolution around the CLOS IP Fabric with the new requirements posed for building infrastructure for AI data center clusters and various types of workloads that these would host. The basic infrastructure needed for such are highspeed AI data center network, storage, and compute. Building Large Language Models (LLMs) requires centralized data, with demand for large bandwidth, while Inferencing is becoming more commonplace, which is driving a transition to a more distributed computing environment where traffic moves device-to-device and edge-to-core-to-cloud
| Estimated presentation duration | 25-30 mins |
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