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There's a lot to unravel here. Let's start with some specs ... err, specifications: Nvidia Tegra X2 (Parker) SoC with two Denver 2.0 64-bit cores and four ARM Cortex A57 64-bit cores
  • There's a lot to unravel here. Let's start with some specs ... err, specifications:

  • Nvidia Tegra X2 (Parker) SoC with two Denver 2.0 64-bit cores and four ARM Cortex A57 64-bit cores

  • Integrated Pascal-based GPU with 256 CUDA cores

  • 8 GB RAM

  • 128 GB onboard storage

  • Bluetooth 4.2, Wi-Fi 802.11ac/b/g/n, USB-C, 3.5 mm headphone jack

  • That Nvidia SoC is designed for automotive applications, and is prominently used in autonomous vehicles, 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—much like a self-driving car.

这里有好多需要说的。让我们从硬件规格开始:

Nvidia Tegra X2 (Parker) SoC 配备两颗 Denver 2.0 64-bit 核心和四颗 ARM Cortex A57 64-bit 核心

集成了基于 Pascal 的 GPU 配备256个 CUDA 核心

8 GB RAM

128 GB 板载储存

Bluetooth 4.2,Wi-Fi 802.11ac/b/g/n,USB-C,3.5 mm 耳机接口

这颗 Nvidia 的 SoC 为汽车应用设计,并在自动驾驶汽车中占有重要的地位,包括 Teslas 。这看起来像是非主流的使用方法,直到你明白 Magic Leap 用于定位和理解环境的多个传感器阵列多像是一台自动驾驶的汽车。

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