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NVIDIA's Low Power AI Dev Platform on Arm 7 месяцев назад


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NVIDIA's Low Power AI Dev Platform on Arm

If you want to develop on a platform for the AI future, it is time to get on the NVIDIA Jetson development platforms instead of a Raspberry Pi. In this video, we show you two of the developer kits. STH Main Site Article: https://www.servethehome.com/nvidia-j... STH Top 5 Weekly Newsletter: https://eepurl.com/dryM09 As a quick note, NVIDIA let us use the hardware, but they have no idea we are making this video, have not had any input into it. We just wanted folks to see this as part of our coverage from edge to data center developments. ---------------------------------------------------------------------- Become a STH YT Member and Support Us ---------------------------------------------------------------------- Join STH YouTube membership to support the channel:    / @servethehomevideo   ---------------------------------------------------------------------- Where to Find The Unit We Purchased Note we may earn a small commission if you use these links to purchase a product through them. ---------------------------------------------------------------------- Raspberry Pi 5 Starter Kit: https://amzn.to/3TDA1jS NVIDIA Jetson Orin Nano Dev Kit: https://amzn.to/3Thb0d7 DP to HDMI: https://amzn.to/4agAD4x NVIDIA Jetson Orin AGX Dev Kit: https://amzn.to/4ccBBkd Jackery Portable Battery: https://amzn.to/49WFBDV STH Merch on Spring: https://the-sth-merch-shop.myteesprin... ---------------------------------------------------------------------- Where to Find STH ---------------------------------------------------------------------- STH Forums: https://forums.servethehome.com Follow on Twitter:   / servethehome   Follow on LinkedIn:   / servethehome-com   Follow on Facebook:   / servethehome   Follow on Instagram:   / servethehome   ---------------------------------------------------------------------- Other STH Content Mentioned in this Video ---------------------------------------------------------------------- ---------------------------------------------------------------------- Timestamps ---------------------------------------------------------------------- 00:00 Introduction 02:37 Hardware Overview 12:44 How it works 17:01 Key Lessons Learned

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