Ubuntu 14.04.3 Desktop Image for Intel Atom Z3735F mini PCs and Sticks

If you’ve been trying to run Ubuntu on Intel Atom Z3735F, chances are that you’ve come across Ian Morrison (Linuxium) work, even MeegoPad T02 is using one of its older Ubuntu image (without his direct knowledge / authorization), and the developer has now released an Ubuntu 14.04.3 Desktop image for Intel Atom Z3735F based devices around five days after the official Canonical release.

Ubuntu_14.04.3_MeegoPad_T02The official Ubuntu 14.04.3 includes the newer 3.19 Linux kernel from Ubuntu 15.04, and a matching X.org stack, and has been upgraded that way for hardware enablement, i.e. to support more hardware platforms. Unfortunately, the image for Z3735F is still using a 3.16 kernel because some dynamic kernel modules only work with 3.16. The image supports 32-bit and a 64-bit bootloaders and includes WiFi, Bluetooth, and Audio support.

If you’d like to update Ubuntu on your device, download and flash ubuntu-14.04.3-desktop-linuxium.iso to a USB drive with ‘Rufus’ in Windows or ‘dd’ in Linux. Insert the USB flash drive in your device, and press F7 or F10 (depending on your UEFI device) in order to select the mass storage device to boot to, and complete the installation. All features should work right after installation with a 64-bit bootloader as found in Intel Compute Stick, but if you have a 32-bit bootlader as found in MeegoPad T02, you’ll have to run two extra scripts: 

Good luck! If you appreciate Ian’s work, you can consider leaving a donation on his Paypal account.

Share this:

Support CNX Software! Donate via cryptocurrencies, become a Patron on Patreon, or purchase goods on Amazon or Aliexpress

Radxa Orion O6 Armv9 mini-ITX motherboard
Subscribe
Notify of
guest
The comment form collects your name, email and content to allow us keep track of the comments placed on the website. Please read and accept our website Terms and Privacy Policy to post a comment.
16 Comments
oldest
newest
Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications