Issue #794, Issue #802: Add Exaviz Cruiser video and AI HAT+ 2 page.

_boards_cm/exaviz-cruiser-cm5.md

@@ -6,7 +6,8 @@ status: production
 picture: "/images/board-exaviz-cruiser-cm5.jpeg"
 github_issue: "https://github.com/geerlingguy/raspberry-pi-pcie-devices/issues/802"
 link: https://exa-pedia.com/docs/cruiser/
-videos: []
+videos:
+  - https://www.youtube.com/watch?v=2LayXUxMjPU
 ---
 Exaviz' Cruiser board blends 2x SATA ports, SATA power, a PoE-enabled switch, 2.5 Gbps Ethernet, an ESP32, and M.2 NVMe support to a Compute Module 5.
 

_hats/pi-ai-hat-2.md

@@ -0,0 +1,16 @@
+---
+layout: hat
+title: "Raspberry Pi AI HAT+ 2"
+short_description: AI HAT with Hailo-10H AI accelerator and 8GB of on‑board RAM
+status: production
+picture: "/images/hat-pi-ai-hat-2.jpg"
+github_issue: "https://github.com/geerlingguy/raspberry-pi-pcie-devices/issues/794"
+link: "https://www.raspberrypi.com/products/ai-hat-plus-2/"
+videos:
+  - https://www.youtube.com/watch?v=jRQaur0LdLE
+---
+The Raspberry Pi AI HAT+ 2 features a Hailo-10H processor and 8GB of LPDDR5 RAM, allowing it to run larger inference models without loading them onto the Pi's internal RAM.
+
+The processor is a little slower for most LLMs (which fit within 8GB of RAM) than the CPU on the Pi 5 itself, but can free the Pi 5's CPU for other tasks.
+
+It also has equivalent vision processing performance to the earlier AI HAT+, so for mixed machine vision + inference tasks, this could be a useful addition.