Skip to content

Trixie support notes #4213

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 5 commits into from
Oct 9, 2025
Merged

Trixie support notes #4213

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
7f0bec6
remove duplicate entry
katshann-raspberry Oct 8, 2025
709dd26
Add the caveats for coming soon features.
katshann-raspberry Oct 9, 2025
96a59b3
Update from review comments
katshann-raspberry Oct 9, 2025
da6db6c
Merge pull request #4212 from raspberrypi/trixie-hailo-caveat
katshann-raspberry Oct 9, 2025
436582e
Merge pull request #4208 from raspberrypi/sb-provisioner-dupe
katshann-raspberry Oct 9, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion documentation/asciidoc/accessories/ai-hat-plus/about.adoc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,9 @@ Raspberry Pi 5. The NPU in the AI HAT+ can be used for applications including pr

The AI HAT+ is available in 13 and 26 tera-operations per second (TOPS) variants, built around the Hailo-8L and Hailo-8 neural network inference accelerators. The 13 TOPS variant works best with moderate workloads, with performance similar to the xref:ai-kit.adoc[AI Kit]. The 26 TOPS variant can run larger networks, can run networks faster, and can more effectively run multiple networks simultaneously.

The AI HAT+ communicates using Raspberry Pi 5’s PCIe interface. The host Raspberry Pi 5 automatically detects the on-board Hailo accelerator and uses the NPU for supported AI computing tasks. Raspberry Pi OS's built-in `rpicam-apps` camera applications automatically use the NPU to run compatible post-processing tasks.
The AI HAT+ communicates using Raspberry Pi 5's PCIe interface. The host Raspberry Pi 5 automatically detects the on-board Hailo accelerator and uses the NPU for supported AI computing tasks. Raspberry Pi OS's built-in `rpicam-apps` camera applications automatically use the NPU to run compatible post-processing tasks.

WARNING: The Raspberry Pi AI HAT+ is not yet supported by Raspberry Pi OS Trixie. To use AI HAT+, install or stay on Raspberry Pi OS Bookworm for now.

[[ai-hat-plus-installation]]
== Install
Expand Down
2 changes: 2 additions & 0 deletions documentation/asciidoc/accessories/ai-kit/about.adoc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,8 @@ The Raspberry Pi AI Kit bundles the xref:m2-hat-plus.adoc#m2-hat-plus[Raspberry
* mounting hardware kit
* 16mm stacking GPIO header

WARNING: The Raspberry Pi AI Kit is not yet supported by Raspberry Pi OS Trixie. To use the AI Kit, install or stay on Raspberry Pi OS Bookworm for now.

== AI module features

* 13 tera-operations per second (TOPS) neural network inference accelerator built around the Hailo-8L chip.
Expand Down
4 changes: 3 additions & 1 deletion documentation/asciidoc/accessories/build-hat/introduction.adoc
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,7 +1,9 @@
[[about-build-hat]]
== About

The https://raspberrypi.com/products/build-hat[Raspberry Pi Build HAT] is an add-on board that connects to the 40-pin GPIO header of your Raspberry Pi, which was designed in collaboration with LEGO® Education to make it easy to control LEGO® Technic™ motors and sensors with Raspberry Pi computers.
The https://raspberrypi.com/products/build-hat[Raspberry Pi Build HAT] is an add-on board that connects to the 40-pin GPIO header of your Raspberry Pi, which was designed in collaboration with LEGO® Education to make it easy to control LEGO® Technic™ motors and sensors with Raspberry Pi computers.

WARNING: The Raspberry Pi Build HAT is not yet supported by Raspberry Pi OS Trixie. To use the Build HAT, install or stay on Raspberry Pi OS Bookworm for now.

image::images/build-hat.jpg[width="80%"]

Expand Down
4 changes: 2 additions & 2 deletions documentation/asciidoc/accessories/tv-hat/about-tv-hat.adoc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ During the `tvheadend` installation, you will be asked to choose an administrato

On another computer on your network, open up a web browser and type the following into the address bar: `http://raspberrypi.local:9981/extjs.html`

This should connect to `tvheadend` running on the Raspberry Pi. Once you have connected to `tvheadend` via the browser, you will be prompted to sign in using the account name and password you chose when you installed `tvheadend` on the Raspberry Pi.
This should connect to `tvheadend` running on the Raspberry Pi. Once you have connected to `tvheadend` via the browser, you will be prompted to sign in using the account name and password you chose when you installed `tvheadend` on the Raspberry Pi.

A setup wizard should appear.

Expand All @@ -63,7 +63,7 @@ Found muxes: 8
Found services: 172
----

In the next window, titled *Service mapping*, tick all three boxes: *Map all services*, *Create provider tags*, and *Create network tags*. You should see a list of TV channels you can watch, along with the programmes they're currently showing.
In the next window, titled *Service mapping*, tick all three boxes: *Map all services*, *Create provider tags*, and *Create network tags*. You should see a list of TV channels you can watch, along with the programmes they're currently showing.

To watch a TV channel in the browser, click the little TV icon to the left of the channel listing, just to the right of the *i* icon. This brings up an in-browser media player. Depending on the decoding facilities built into your browser and the type of stream being played, you may find that playback can be jerky. In these cases, we recommend using a local media player as the playback application.

Expand Down
9 changes: 3 additions & 6 deletions documentation/asciidoc/computers/software-sources.adoc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ The other place you can find our software in a more standard form is in our GitH

== List of categorized sources

The following is a curated list of repositories which most people are interested in:
The following is a curated list of repositories that most people are interested in:

=== Main sources

Expand Down Expand Up @@ -156,14 +156,11 @@ The code for the Raspberry Pi Imager application which flashes an operating syst
https://github.com/raspberrypi/rpi-image-gen::
A build system for developing an operating system for an embedded Raspberry Pi system.

https://github.com/raspberrypi/rpi-sb-provisioner::
A tool to provision Raspberry Pi devices at manufacture, including secure boot and encrypted filesystems.

https://github.com/raspberrypi/usbboot::
A tool to boot a Raspberry Pi over USB for provisioning Compute Module and Raspberry Pi devices.

https://github.com/raspberrypi/rpi-sb-provisioner::
A tool to mass provision Raspberry Pi devices (Raspberry Pi 5, Compute Module 4, and Compute Module 5 are supported).
A tool to mass provision Raspberry Pi devices, including secure boot and encrypted file systems. (Raspberry Pi 5, Compute Module 4, and Compute Module 5 are supported.)

=== Feedback

Expand Down Expand Up @@ -191,4 +188,4 @@ https://github.com/raspberrypi/pico-examples::
Examples for Raspberry Pi Pico.

https://github.com/raspberrypi/picotool::
Tool for interacting with RP-series device(s) in BOOTSEL mode.
Tool for interacting with RP-series devices in BOOTSEL mode.