Tackle ARM ecosystem challenges with the spirit of innovation! Share your experiences and ideas on overcoming obstacles in the ARM world.
Sige7 (Flagship #RK3588 + Sige5 (Cost-effective #RK3576) = Comprehensive Coverage for Diverse Budgets
#IoT + #EdgeComputing + #HomeLabs = Endless Application Scenarios
High Performance + Cost Efficiency = Perfect Solutions for Your Projects
Big thanks to @diolinux review
https://diolinux.com.br/tecnologia/montei-um-pc-com-cpu-arm-o-sige7.html
barebox v2025.03.0 has been released 
This month's release improves hardware support across a number of SoCs: #rk3588 and sama5d2 drivers, field-return support on the i.MX8M, AM6x processors can now boot from eMMC, and eMMC trim has been greatly sped up.
In addition, @dok 's patches for first sunxi support have landed and the generic barebox 2nd stage image can now run on different A64 boards like the #Pinephone.
See the release announcement for more: https://github.com/barebox/barebox/releases/tag/v2025.03.0
A 1.0 release of EDK2 for RK3588 is pretty exciting. Amazing work by Mario
https://github.com/edk2-porting/edk2-rk3588/releases/tag/v1.0
Modding Showcase: What's Your Tiny Computing Monster Look Like?
We're thrilled to see how our users bring his #Sige7 to life! One user designed a 3D-printed case that perfectly fits the assembly with a cooler.
Learn more for 3D case: https://docs.armsom.org/armsom-sige7#hardware-resources
If you've modded yours, share your creation and inspire others!
#DIY #3DPrinting #RK3588 #sbc #opensource #embedded #iot #makers #armbian #rockchip #hardware
#ai #linux
@CraftComputing
Huge thanks to
@taoofmac
for the in-depth RK3588 AI Module7（AIM7） https://taoofmac.com/space/blog/2025/03/12/2000
Key takeaway:
#RK3588 #AI Module7 shines in
• #Industrial Automation
• #EdgeAI Vision
• Lightweight #LLMs
• #IoT Gateways
Demand 32GB/128GB AI Module7 for LLMs?
Tell us! We’ll scale production when crowdfunding finished.
The Ultimate #AI Combo Just Dropped! #RK3588 AI Module 7 + #Jetson Nano Carrier Board = WORK Jetson Nano + RK3588 AI Module 7 = WORK
ArmSoM AIM7 & AIMIO (RK3588): Benchmarks & #DeepSeek in Action
https://youtu.be/J9VmcyJ_t4g?feature=shared
Banana Pi BPI-AIM7 is an RK3588 compute module compatible with NVIDIA Jetson Nano hardware
The Banana Pi BPI-AIM7 is a computer-on-a-module that looks like a stick of RAM. But this little stick features a Rockchip RK3588 processor and supports up to 32GB of RAM and 128GB of eMMC flash storage. Connect it to a carrier board and you’ve got a tiny desktop computer.
Banana Pi is positioning the BPI-AIM7 as a solution for AI applications since the Rockchip processor has an NPU that […]
BPI-AIM7 uses Rockchip RK3588, a new generation flagship eight-core 64-bit processor with a main frequency of up to 2.4GHz, 6 TOPS computing power NPU
https://docs.banana-pi.org/en/BPI-AIM7/BananaPi_BPI-AIM7
#bananapi #raspberrypi #RK3588 #AI #deepseekai
Join us at the Embeddedworld Expo from March 11th to 13th, 2025, at the #Rockchip booth to explore our ArmSoM System on Module products, including the #AI Module3/5/7, LM7, and CM5.https://docs.armsom.orgSpecial highlight: The #RK3588 AI Module7, our crowdfunding star, will be making an appearance. It's packed with power and potential for AI projects. Come see it live and chat! #jetsonnano
https://crowdsupply.com/armsom/rk3588-ai-module7
Thank you @geerlingguy for this video!
Spoiler : 1.2 tok/s for a R1 distill 14B on RPI 16GB, it was kind of expected; obviously disappointing. The RK3588 won't be much faster than this therefore. These boards aren't exactly cheap but more versatile and better supported than exotic SBCs, not the same purpose than miniPCs either in this price range too..
OpenAI's nightmare: Deepseek R1 on a Raspberry Pi
Success Story Series - LM7 in Action
One of our customers has successfully cooked his IO Board based on our LM7 core board in their #drone projects. 
The LM7, powered by #Rockchip RK3588, offers all #RK3588 pins and a compact size of 45*50mm, making it perfect for drone applications.
Learn more about LM7: https://docs.armsom.org/armsom-lm7
Share your ArmSoM success stories! We're highlighting customer achievements in our Success Story Series.Stay tuned
#opensource #linux #AI #homelab #maker #hardware
#BananaPi BPI-M7 with #Rockchip #RK3588, 8/16/32G,RAM 64/128G eMMC,#wifi6 support . 2x2.5G port ,1xHDMIout ,2x USB3.0,2xTYPE-C,2x MIPI CSI interface and 1x MIPI DSI interface, 1x M.2 KEY M interface,40 PIN GPIO ,Mini size just 92x62mm.
https://docs.banana-pi.org/en/BPI-M7/BananaPi_BPI-M7
#AI #DeepSeekR1
Do you know if anyone has tried to make a -working- homemade DIY -IPS- with Snort or Suricata that would use the NPU capabilities of the RK3588 for pattern matching and succeed? An inline Pi-Hole basically..
Banana Pi with Rockchip RK3588 design.Which Module are you like?
https://docs.banana-pi.org/en/home
#rockchip #rk3588 #bananapi #sbc #AI #edgecomputer #android #linux #opensource
ROCK 5T is a RK3588 single-board PC with up to 32GB RAM, two M.2 sockets, and plenty of I/O
Radxa continues to expand the ROCK 5 line of single-board computers powered by Rockchip RK3588 processors. The new ROCK 5T is a 110 x 82mm (4.3″ x 3.2″) board that’s a little larger than the original ROCK 5, but it packs a bunch of additional features while still taking up less space than the ROCK 5 ITX.
Available now from AliExpress or Arace for around $115 and up, the ROCK 5T supports up […]
anyon_e is a DIY Linux laptop with an RK3588 processor, OLED display, and custom aluminum chassis
There’s no shortage of laptop computers available for purchase these days. But finding one with the precise features you want can be trickier – so Byran Huang decided to design one from scratch using a combination of readily available components (like a processor module, display, and mechanical keyboard) and custom designs for parts like a mainboard and chassis.
The resulting laptop is […]
Are there any thoughts on the performance of the Rockchip RK3588 processor in the MNT Reform Next? I'd love to give it a try, but the last experiment with an ARM processor for a Linux everyday notebook (Thinkpad X13s) didn't go well. And I'm a bit hesitant to spend >1000 just to experiment.
