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crwdns2933797:0Jeff Suovanencrwdnd2933797:0crwdne2933797:0

crwdns2936043:0crwdne2936043:0 crwdns2933505:0crwdne2933505:0 Jeff Suovanen

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[* black] There's a lot to unravel here. Let's start with some specs ... err, specifications:
[* red] Nvidia Tegra X2 (Parker) SoC with two Denver 2.0 64-bit cores and four ARM Cortex A57 64-bit cores
[* orange] Integrated Pascal-based GPU with 256 CUDA cores
[* yellow] 8 GB LPDDR4 with ECC
[* green] 128 GB onboard storage
[* light_blue] Bluetooth 4.2, Wi-Fi 802.11ac/b/g/n, USB-C, 3.5 mm headphone jack
-[* icon_note] That Nvidia Soc was [https://blogs.nvidia.com/blog/2016/08/22/parker-for-self-driving-cars/|designed for automotive applications|new_window=true], and is [https://en.wikipedia.org/wiki/Tegra#Devices_7|prominently used in autonomous vehicles|new_window=true], including Teslas. This seems like off-label use, until you consider the Magic Leap's multiple arrays of external sensors for mapping and understanding its environment—not at all dissimilar to what self-driving vehicles are tasked with every day.
+[* icon_note] That Nvidia SoC is [https://blogs.nvidia.com/blog/2016/08/22/parker-for-self-driving-cars/|designed for automotive applications|new_window=true], and is [https://en.wikipedia.org/wiki/Tegra#Devices_7|prominently used in autonomous vehicles|new_window=true], including Teslas. This seems like off-label use, until you consider the Magic Leap's multiple arrays of external sensors for mapping and understanding its environment—not at all dissimilar to what self-driving vehicles are tasked with every day.