The RK3588 #AI# Module7 is based on a popular Rockchip #SoC#, in a familiar SODIMM form factor! The #NPU# makes it perfect for #edgeAI# and #ObjectRecognition#, and it's compatible with Nvidia baseboards too! Find out more: https://t.co/qDtesrG4o7 https://t.co/GdQACwFzzW

Huge thanks to @taoofmac for the in-depth RK3588 AI Module7（AIM7） https://t.co/7wmBrMWaFN Key takeaway: 🔥 ​RK3588 AI Module7 shines in • Industrial Automation • Edge AI Vision • Lightweight LLMs • IoT Gateways Demand 32GB/128GB AI Module7 for LLMs?🗣️Tell us! We’ll scale production when crowdfunding finished.

🥳Wow! Check out this awesome video from lucky giveaway winner! ⚒️Two clear methods to run DeepSeek locally on the ArmSoM Sige7 powered by RK3588. Both informative and fun for the video, offering something new for everyone.

@Armsom_official The hot video on Two methods to run DeepSeek locally on ArmSom Sige7 locally! Sige7 from @Armsom_official https://t.co/U4dWKuWmDd #sige7# #linux# #debian# #bananapi# #armsom# #armbian# #rockchip# #rk3588#

Tackle ARM ecosystem challenges with the spirit of innovation! Share your experiences and ideas on overcoming obstacles in the ARM world. Let's innovate together! 💰Sige7 (Flagship RK3588) + Sige5 (Cost-effective RK3576) = Comprehensive Coverage for Diverse Budgets 🌐IoT + Edge Computing + Home Labs = Endless Application Scenarios ⚒️High Performance + Cost Efficiency = Perfect Solutions for Your Projects https://t.co/C8xDJ0ZPHy

🛠️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://t.co/G16dflt2sM 💡If you've modded yours, share your creation and inspire others! #DIY# #3DPrinting# #RK3588#