Panel: AI Inside and Outside the Data Center - Ready for Consumption or Half-baked?
The advent of GPUs and high-density computing, gives enterprises across the globe a fantastic opportunity to run AI applications and benefit from the business-efficiency and cost-cutting that these new applications can provide. The challenge, however, inside the data center is significant. These systems often consume so much power, that typically, there would not be the capacity or infrastructure to remove the excess heat that such high-density computing generates.
Are we ready to manage these high-density loads? What technology innovation is necessary?
Can machine learning be used to drive cost savings and optimise workloads?
Beyond the data center can deep learning help support the grid and drive more effective data center and energy network partnerships?
This session took place on April 2, 2019
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