About the webinar

Cloud operators & data centres have power consumption limits. Finding the optimal balance between the workload (Time to Solution) and power consumption (Energy to Solution) has significant economic implications. What’s more, the growing demand for ever larger AI/ML workloads on GPU makes it imperative to carefully manage power consumption while maximising the use of GPUs, which are high-value assets.
This workshop will offer an in-depth look at two projects which are developing practical solutions to change the present paradigm of Artificial Intelligence (AI) and Deep Learning (DL) methods in terms of data computing, processing and energy consumption.

More information about the event here