With the ongoing weather disruptions and natural disasters, coupled with the increasing complexity of power grids and demand for renewable energy sources, power grid infrastructure is facing closer scrutiny.

At the same time, It’s also presented an opportunity for AI technologies, like real-time dynamic modeling to optimize energy outlets, from the grid to electric car batteries.

In this webinar, we'll detail how Veritone’s AI-based technology uses NVIDIA GPUs in advanced optimization and modeling techniques to dramatically improve the performance of complex grid operations.

• An overview of Veritone’s dynamic modeling with NVIDIA GPUs and how it improves range, battery longevity and reduces the risk of thermal events;

• How fast and accurate modeling of batteries on NVIDIA GPUs can increase battery utilization, reduce the risk of thermal events and extend battery life

• Ways that dynamic modeling can dramatically improve the economics of operating smart grids

• How high-performance computing (HPC) on NVIDIA GPUs can solve large optimization problems for dynamic grid systems in real-time;

• Why the battery data tomograph modeling system is well suited for NVIDIA GPUs because of its high computational density and high data flow requirements

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