ArmSoM

New account for ArmSoM Official
Unified Hardware, Infinite Minds: Open SBC/SOM Alliance!
Industrial Tough × Maker Flexible× ∞
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[ArmSoM @ArmSoM_Global]

🏠We've moved! Due to technical issues, we lost access to our old account @Armsom_official.
🎯All future updates will be from this account: @ArmSoM_Global
🫡 We sincerely thank our 651 followers from the old account for your past support. It means a lot to us.
Please:
📌Follow this new account to stay connected. ⏩Like/Retweet this post to help spread the word within our community.

We're excited to continue the journey with you here. #ArmSoM

[ArmSoM @ArmSoM_Global]

🚀 Sub-200ms latency for robot teleoperation is here.

Rockchip and Agora just launched a joint remote operation solution based on RK3588 / RK3576, delivering <200ms end-to-end latency — even under weak network conditions.

Why it matters:
✅ Full-stack optimization (Rockit + Agora RTC) — 40% latency reduction
✅ Production-proven — already deployed in mass-market robots
✅ Ready-to-use hardware — ArmSoM AIM7 / CM5 modules skip carrier board design, jump straight to development
Whether you're building quadruped robots, industrial arms, AGVs, or delivery bots — this solution cuts your time to market.
👉 Read more & request a demo board: https://t.co/xH1ffuYCnV

#Robotics #EdgeComputing #Teleoperation #LowLatency

[ArmSoM @ArmSoM_Global]

Happy Monday!ArmSoM Platform Roadmap 2026

From entry-level SBCs to 32 TOPS flagship edge AI — we've got you covered across 8 SoC platforms and 6 product series.
✅ 6 TOPS (RK3588/RK3588S / RK3576) – AI-ready SBC, CM, AI Module, LGA Core, Forge, Link IoT
✅ 3 TOPS (A733) – Balanced performance for cost-sensitive AI
✅ 1 TOPS (RK3568/B2) – Reliable workhorse for industrial & gateway
✅ Industrial (RK3506J) – Built for tough environments
✅ Coming: RK3688 with 32 TOPS – next-gen flagship AI
Complete product matrix, one ecosystem, endless applications.
Check out the full products:https://t.co/QNQ68F9xka

[ArmSoM @ArmSoM_Global]

@sbccompare 😂

[ArmSoM @ArmSoM_Global]

@sbccompare Yeah..

[ArmSoM @ArmSoM_Global]

@0xZach Let's see.If yes,we will let you know..

[ArmSoM @ArmSoM_Global]

#JetsonNano is going to EOL .
Looking for alternatives？
RK3588 AI Module7 (AIM7) 8+128GB version. Coming in August.
👉https://t.co/p1Q70Ht6wI

#RK3588 #EdgeAI

[ArmSoM @Armsom_official]

🚀 After a year in the making, the ArmSoM RK3588 AI Module7 (AIM7) is now LIVE on @crowd_supply
🔆This low-power AI module compatible with the Nvidia Jetson Nano ecosystem,which delivers exceptional performance for edge computing and embedded projects — and it's ready for you to bring to life.
We invite you to join the journey:
✅ Back the project: https://t.co/YNAZLszdtX
✅ Ask a question — our team will reply!

Help us spread the word — share with makers, developers, and AI enthusiasts who might love AIM7.

[ArmSoM @ArmSoM_Global]

Low-power, high-performance real‑world Sige7 #FrigateNVR deployment..

*RK3588 + 6TOPS NPU powers 8x 1080p cameras with real-time AI detection (people, cars, cats, LPR).
*Idle just 2.5W, full load ~10W — passively cooled at ~49°C even in 45°C Sydney heat!
*Dual 2.5GbE isolation + seamless Home Assistant integration.LPR-triggered garage door in <2s.

Learn more:https://t.co/bvh4H0Nw7b

#edgeai #homelab #sbc #DIYprojects

[ArmSoM @ArmSoM_Global]

Frigate NVR with 8×1080p recording + real‑time AI inference, integrated with Home Assistant,powered by ArmSoM RK3588 Sige7 https://t.co/nnmD7G8wLR

[ArmSoM @ArmSoM_Global]

Frigate NVR with 8×1080p recording + real‑time AI inference, integrated with Home Assistant,powered by ArmSoM RK3588 Sige7 https://t.co/nnmD7G8wLR

[ArmSoM @ArmSoM_Global]

E2B and E4B will run on RK3588..https://t.co/jlglcj87rm

Regarding the 26B A4B (MoE, 26B total/3.8B active): It can run on RK3588, but memory is the key constraint.

In practice, many developers in the RK3588 community use the Rockchip RKLLM software stack to run GGUF-quantized Gemma models, and the workflow is well-documented https://t.co/UhyOZWIh81

[ArmSoM @ArmSoM_Global]

yes, RK3588 can definitely run LLMs~

For 7B parameter models (like DeepSeek-R1 7B), the RK3588 achieves roughly 10–13 tokens/s in real-world testing. That's with NPU acceleration using RKLLM, not just CPU.

For 1.5B models, you can get around 15–20 tokens/s, making it very responsive for interactive applications.

So to answer your first question: RK3588 excels at both traditional CV/AI tasks AND lightweight LLM workloads. It's not a choice between one or the other — it's designed for both.

The key differentiator is the NPU + RKLLM software stack, which allows efficient inference even on edge devices. Do you have particular models or use cases in mind?

[ArmSoM @ArmSoM_Global]

Hi sir,Actually, there's an important distinction between theoretical TOPS and real-world performance.

According to recent benchmark research, a lot of developers are surprised to find that RK3588 can outperform the original Jetson Nano in real-world AI inference tasks. For example, when running YOLOv8n object detection, the RK3588 achieved 34.6 FPS, while the Jetson Orin Nano Super (a newer and more powerful model than the original Nano) only achieved around 24 FPS.

That's right — more frames per second, at a fraction of the cost. 😉

The 6 TOPS NPU on RK3588 is very efficient and can fully saturate its capability in many CNN-based workloads. More memory also means being able to load larger models without hitting the OOM wall.

So for us, it's never about "more TOPS" — it's about how much usable performance you actually get for your project.

[It's FOSS @Itsfoss]

ArmSoM's new offering ditches Rockchip.

https://t.co/ArwzdrHypg

[ArmSoM @ArmSoM_Global]

https://t.co/A0GvGnTcRm

[ArmSoM @ArmSoM_Global]

https://t.co/sJNwelaaxM

[ArmSoM @ArmSoM_Global]

Happy Friday!
Say hello to #ArmSoMSige6 — our first #Allwinner #A733 powered #SBC! Welcome aboard, Sige6!
Coming in August 2026 with strong CPU, 3 TOPS NPU, LPDDR5 & PCIe NVMe.
What are you most looking forward to? Let us know below！
Learn more:https://t.co/gBdphMM8xi

#edgeai #raspberrypi4 #raspberrypi5 #orangepi4pro
#RadxaCubieA7A #RISC #arduino #robotics #iot #homeassistant

[Arm @Arm]

24 hours to go. 🎥

Tomorrow at #COMPUTEX2026, Rene Haas will discuss how the rise of agentic AI is reshaping the compute landscape — and why Arm is the compute platform for the AI era.

Plus, we’ll be joined by one of the AI industry’s leading luminaries.

📅 June 2, 11 AM Taipei Time | June 1, 8 PM PT: https://t.co/OcFcD8fczw

[ArmSoM @ArmSoM_Global]

Flipper One runs on RK3576 — same brain as our ArmSoM Sige5/CM5. 🧠

✅6 TOPS NPU for on-device AI inference (no cloud dependency)
✅Mainline Linux support (backed by Collabora’s upstream work)
✅Compact form factor (credit-card sized SBC or core module)
✅Dual GbE, USB-C, PCIe, MIPI — all the I/O you need
✅Powerful enough to run local LLMs

The Cyberdeck movement is maker-driven. But its DNA — modular, open, customizable — is exactly what industrial users are asking for as well..

Who’s making the first ArmSoM #RK3576-powered Board #Cyberdeck? 👇
https://t.co/XHDQRuWy4i
https://t.co/4DGFRf0mWF

Drop your concept sketches or ideas below 👇

#edgeAI