Issue #44: Google Coral TPU works on Pi 5, yay.

_cards_m2/coral-accelerator-ae-key.md

@@ -3,7 +3,7 @@ layout: card
 title: "Google Coral TPU M.2 Accelerator A+E Key"
 picture: "/images/m2-coral-accelerator-ae-key.jpg"
 functionality_cm4: "None"
-functionality_pi5: "Currently Testing"
+functionality_pi5: "Full"
 driver_required: "Yes"
 github_issue: "https://github.com/geerlingguy/raspberry-pi-pcie-devices/issues/44"
 buy_link: https://amzn.to/3jWowRg
@@ -13,8 +13,8 @@ Coral TPU accelerators offer an easy way to add advanced (and fast!) ML and AI c
 
 The PCIe version of the Google Coral completely locks up on the Compute Module 4, though the [USB TPU version](https://amzn.to/3qGR2sE) works.
 
-On the Raspberry Pi 5, I am able to follow the [install guide for PCIe](https://coral.ai/docs/m2/get-started), and have the device recognized.
+On the Raspberry Pi 5, I am able to follow the [install guide for PCIe](https://coral.ai/docs/m2/get-started), but there are a few configuration tweaks you need to make to get the TPU working correctly, and you can't use the system Python (3.11) on Pi OS 12 because it is too new for PyCoral.
 
-But with Pi OS 12 (Bookworm), the system Python version is too new for the `pycoral` library. So I've been [testing my Coral TPU using Docker](https://www.jeffgeerling.com/blog/2023/testing-coral-tpu-accelerator-m2-or-pcie-docker), but I am still running into some issues.
+See my [blog post on getting the Coral TPU working on Pi 5](https://www.jeffgeerling.com/blog/2023/pcie-coral-tpu-finally-works-on-raspberry-pi-5) for more details.
 
-Please follow the GitHub issue for more details.
+Follow the GitHub issue for more details.