Abstract
The growing demand for real-time data insights enabled by machine learning and artificial intelligence are causing data centers to process more data than ever before. Current compute-centric data center designs are inadequate at meeting the demands of this data-centric world. Data Processing Unites (DPUs) were designed to overcome the root causes of these inadequacies. Future data centers, enabled by the DPU, will allow all resources in a data center - storage, GPUs and, ultimately, memory to be disaggregated from compute over a highly efficient, low-latency, scalable network fabric. This hyperdisaggregated data center will eliminate the need for resource overprovisoning and ensure that remote resources perform as well as local resources. The resultant data center will have >2X better TCO, footprint and power than today’s compute-centric data centers.
Learning Objectives
Why the compute-centric approach to data centers is no longer viable,Why data centers must pivot to a data-centric model,The increasing demands data center will have to handle