2 years ago

Comment under this video and send me a screenshot DURING GTC to enter the RTX 4080 (and 10 DLI credits) giveaway!
GTC: https://nvda.ws/3XQRtkl
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Chapters:
00:00 Hey! Give a Thumbs up to the video If you enjoy it and let me know who or which role you’d like me to interview next!
00:50 How did you get into NVIDIA? What’s your academic background?
04:12 How were the NVIDIA interviews?
05:54 How did you prepare for the interviews?
09:13 What is a solution architect at Nvidia?
13:47 How are the rôles responsibilities at NVIDIA?
17:15 Do you see any resemblance between your work at NVIDIA and when you were doing your PhD or postgraduate degree?
23:10 When making models more efficients (quantizing), do you reduce performance significantly or do you manage to make them more efficient without sacrificing performance?
25:10 What do you mean by distributing a model and why would you do that?
29:43 Would you say that your PHD was worthwhile?
33:25 How can someone coming from a completely different field make the transition into data science?
40:00 Would you recommend diving into resource usage/management when learning AI?
43:00 What material/hardware do you need when wanting to learn AI?