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Documentation for BigTree-Tech CB1 Compute Module Compatibility #5

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897338e
Added documentation for CB1 compatibility. Resolves Issue #4
nuvious Apr 24, 2023
ca27ab1
Fixed some gramatic awkwardness
nuvious Apr 24, 2023
2bdc232
Changed description of CB1 as being a CM4 'form factor' compute modul…
nuvious Apr 24, 2023
8939454
Clarified the 'in short' sentence by removing 'though'.
nuvious Apr 24, 2023
ec9392f
One more adjustmet of wording.
nuvious Apr 24, 2023
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17 changes: 17 additions & 0 deletions Docs/Intro and Specs/Supported compute modules.md
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<p>If you choose to purchase the module without the built-in eMMC, the SD card on the CM4 adapter board can be utilized, and the operating system can be booted from it. However, if you opt for the version with the eMMC extension, you will need to use the USB eMMC adapter tool provided by Pine64 to flash the operating system onto the module.</p>
<p class="wysiwyg-text-align-center"><img src="https://help.turingpi.com/hc/article_attachments/9170063145629" alt="pine64_3.png"></p>
<p class="wysiwyg-text-align-center"><img src="https://help.turingpi.com/hc/article_attachments/9169990889885" alt="pine64.png"></p>
<h2>BigTree-Tech CB1 Compute Module</h2>
<p class="wysiwyg-text-align-center"><img src="https://cdn.shopify.com/s/files/1/1619/4791/products/5_b06e0a40-0912-4ded-8a0e-4831c6c860a8_600x.jpg?v=1670830487" alt="bigtreetech-cb1.png"></p>
<p>The BigTree-Tech CB1 compute module was designed and marketed for 3D Printer control board applications
but functions as a general purpose CM4 form factor compute module. Details of its specs can be found in the
<a href="https://github.com/bigtreetech/CB1/blob/master/BIGTREETECH%20CB1%20User%20Manual.pdf" target="_new">product manual on their github</a>.
In short, the CB1 is a quad core, A53 SOC with either 512MB or 1GB of ram.</p>
<p>In testing, three 1GB CB1 modules were paired with a Raspberry Pi CM4 with 4GB of ram. A CB1 is unlikely to support
a control plane node for k3s or microk8s by itself, thus the CM4 served as the control plane. The CB1 modules had
<a href="https://github.com/bigtreetech/CB1/releases/tag/V2.3.2" target="_new">CB1_Debian_11_minimal from the BigTree-Tech Github</a>
installed via a 32GB microSD card. The CM4 ran <a href="https://downloads.raspberrypi.org/raspios_arm64/images/raspios_arm64-2023-02-22/2023-02-21-raspios-bullseye-arm64.img.xz" target="_new">2023-02-21-raspio-bullseye-arm64</a>.</p>
<p>The same configuration of microk8s and k3s were deployed via Ansible to all nodes with no special configuration required
on the Turing Pi 2 itself. Logs for the test are available
<a href="https://raw.githubusercontent.com/nuvious/HomelabKubernetes/003-Armbian-Support/docs/20230421-Test.log" target="_new">here</a>
(hostnames tpi21, tpi22, and tpi23 were CB1 modules) and the ansible playbooks used are available
<a href="https://github.com/nuvious/HomelabKubernetes/tree/8c7ba8be7b09c037c4bdb29f511ef858dce9f9c6">here at the linked commit</a>.
If used in a kubernetes implementation, k3s will offer less overhead than microk8s which should be considered given the limited
resources of a CB1 modules. All that said, the BigTree-Tech CB1 compute module has been tested and works on the Turing Pi 2.</p>
<p> </p>