Episode Synopsis "Jack of All AI's Perspective - Podcast - EPISODE 7 - THE INTERSECTION OF DATA SCIENCE AND DATA pt1"

In this episode of Jack of All AI’s Perspective I speak with Rick Huang, Data Scientist & Technical Marketing Engineer We talk about engineers STILL starting/using bare metal, in cloud / on premise in a non-optimised fashion. Customers then experiencing and wasting cycles on GPU Starvation, data streams not being fast enough(!) I also ask Rick to quickly describe the 3 talks he is doing at GTC Digital this coming April (Register for FREE here:https://gtc21.event.nvidia.com/register I’m really excited for these sessions, especially that around Large Scale Distributed training in Public Cloud! If you’d like more details or to add Rick’s talks to your agenda / watch on demand please do so via the links below: Talk 1 S32187 AI Inferencing in the Core and the Cloud https://gtc21.event.nvidia.com/media/AI%20Inferencing%20in%20the%20Core%20and%20the%20Cloud%20%5BS32187%5D/1_pmjqjiqj Talk 2 S32161 Large-scale Distributed Training in Public Cloud https://gtc21.event.nvidia.com/media/Large-Scale%20Distributed%20Training%20in%20Public%20Cloud%20%5BS32161%5D/1_ykdze470 Talk 3 SS33179 COVID-19 Lung CT Lesion Segmentation & Image Pattern Recognition with Deep Learning with SFL Scientific https://gtc21.event.nvidia.com/media/COVID-19%20Lung%20CT%20Lesion%20Segmentation%20and%20Image%20Pattern%20Recognition%20with%20Deep%20Learning%20(Presented%20by%20NetApp)%20%5BSS33179%5D/1_evdmebsq ::: Link to NetApp Data Science Toolkit ::: On GIT - https://github.com/NetApp/netapp-data-science-toolkit Blog - https://blog.netapp.com/data-science-toolkit Lastly, if you have anything specific you are interested in hearing some perspectives on from me and my cohort of wonderful guests I have lined up, please drop a comment below or message me directly! Register for GTC 2021 for FREE here: https://gtc21.event.nvidia.com/register You can find me on LinkedIn here; www.linkedin.com/in/jackjameswatts You can find Rick on LinkedIn here; https://www.linkedin.com/in/rick-huang-ai/

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