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#rk3588

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From #DeepSeek to #Qwen: discover how to port and optimize large language models (#LLMs) on Rockchip #RK3588-C #SBC and NVIDIA Jetson Xavier NX #AI Box! This guide covers:
✅ NPU Deployment using RKLLM-Toolkit for high efficiency
✅ Ollama for CPU-Based Deployment – quick & flexible
✅ Enhanced Interactions with Chatbox UI & Web UI
Explore AI model porting & interactive solutions for embedded AI development!👇
forlinx.net/article_view_675.h

www.forlinx.netFrom DeepSeek to Qwen: Expert Guide on AI Model Porting & Interaction - Blog - Forlinx Embedded Technology Co., Ltd.Expert guide on porting AI large models from DeepSeek-R1 to Qwen, covering NPU/CPU deployments and interactive UI solutions like Chatbox and Web UI. Contact us.

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
diolinux.com.br/tecnologia/mon

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: github.com/barebox/barebox/rel

On Thu, 20 Mar 2025 10:22:15 +0100, Sascha Hauer wrote

Hi All,
I am happy to announce barebox-2025.02.0.
This release introduces support for Sunxi SoCs. barebox can now run on a
Pine64+ as a gener...
GitHubRelease v2025.03.0 · barebox/bareboxOn Thu, 20 Mar 2025 10:22:15 +0100, Sascha Hauer wrote Hi All, I am happy to announce barebox-2025.02.0. This release introduces support for Sunxi SoCs. barebox can now run on a Pine64+ as a gener...

🛠️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: docs.armsom.org/armsom-sige7#h
💡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) taoofmac.com/space/blog/2025/0

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.

#linux #hardware #embedded #rockchip #makers @taoofmac

Same form factor, very different thermal profiles.
Tao of Mac · The ArmSom AI Module 7
More from Tao of Mac

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 […]

#bananaPi #bpiAim7 #crowdfunding #rk3588 #som

Read more: liliputing.com/banana-pi-bpi-a

🔜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.docs.armsom.org
💡Special 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
crowdsupply.com/armsom/rk3588-

#linux #hardware @itsfoss @cnxsoft @geerlingguy @bradlinder

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

youtu.be/o1sN1lB76EA

💡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: 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