Attention, AI developers! We are thrilled to announce the release of our detailed guide on deploying AI models using RKLLM on #Rockchip #RK3576/RK3588 boards. This guide includes step-by-step instructions and a video tutorial on deploying DeepSeek-R1 models.
#Sige7 #CM5 #RK3588AIModule7 #Sige5
Dive into the world of #open-source #hardware #AI deployment with our comprehensive resources!
https://youtu.be/EVg6CJz36eU?feature=shared
@taoofmac @bradlinder @itsfoss @TomsHardware
Open Source Hardware AI Deployment: DeepSeek-R1 Full Process Tutorial on RK3576/RK3588 boards

YouTube

DeepSeek is now perfectly adapted to ArmSoM #Sige5 #RK3576 / #Sige7 #RK3588 development boards.

The RKLLM software stack makes it a breeze to deploy AI models on Rockchip chips.
This is a great step forward in making AI more accessible.
👉https://docs.armsom.org/advanced-manual/rknn-llm
👉https://t.rock-chips.com/forum.php?mod=viewthread&tid=4836&extra=page%3D1

#AI #Rockchip #linux #tech #iot #hardware #deepseek #sbc #opensource #embedded

6. RKLLM | ArmSoM docs

6.1 Introduction to RKLLM

📊 Dive into our detailed comparison chart for the Sige family: #Sige7, #Sige5, #Sige3, and #Sige1!
#RK3588 #RK3576 #RK3568 #RK3528🔍Uncover the distinctions and select the ideal match for your requirements.#Opensource #sbc #linux #AI
💡For more in-depth information: https://docs.armsom.org/sige-family-started
@geerlingguy @cnxsoft @itsfoss
Sige Family User Manual | ArmSoM docs

The Sige user manual helps users understand the basic usage of Sige products and the necessary preparations to start using your ArmSoM-Sige🚀

🔍 Stay updated on the #Sige5 powered
by #RK3576's mainline support progress by
@collabora , now available in the repository.
Check it out for the latest developments!
#sbc #opensource #rockchip

https://gitlab.collabora.com/hardware-enablement/rockchip-3588/notes-for-rockchip-3576/-/blob/main/mainline-status.md?ref_type=heads

mainline-status.md · main · hardware-enablement / Rockchip RK3588 upstream enablement efforts / Notes For Rockchip 3576 · GitLab

Collabora GitLab

GitLab

Shout out to the
@armbian for their tremendous support of the #Sige series(#Sige7,#Sige5,#Sige1)!

Embracing the power of #Linux for #ARM development boards!

Learn more:
https://docs.armsom.org/armsom-sige7
https://docs.armsom.org/armsom-sige1

Product Introduction: Sige7 | ArmSoM docs

The ArmSoM-Sige7 is powered by Rockchip's latest flagship RK3588,octa-core 64-bit processor, with a max frequency of 2.4GHz, a 6 TOPS NPU, and up to 32GB of RAM.

Just unboxed the #Sige5(#RK3576) #SBC with #Debian 12! Excited to dive into its powerful features and performance. Check out my unboxing video to see it in action!

#raspberrypi5 #rockchip #armbian #opensource #linux #openhardware #EdgeComputing #homelab #AI

@collabora @itsfoss
@cnxsoft

Read more:https://docs.armsom.org/armsom-sige5

Product Introduction: Sige5 | ArmSoM docs

ArmSoM-Sige5 uses Rockchip RK3576 second-generation 8nm high-performance AIOT platform, 6 TOPS computing power NPU, and can be equipped with up to 16GB of large memory. Supports 8K video encoding and decoding, has rich interfaces, supports dual Gigabit network ports, WIFI6/BT5.

Hey!🚀 #Armsom-#Sige5 (BPI-M5)is undergoing batch testing at the factory! Stay tuned for updates on our latest innovation in tech.

#RK3576 #SBC #DIY #opensource #raspberrypi #AI #edgecomputing #bananapi #Rockchip #linux #embedded #openhardware

Read more:https://docs.armsom.org/armsom-sige5

Product Introduction: Sige5 | ArmSoM docs

ArmSoM-Sige5 uses Rockchip RK3576 second-generation 8nm high-performance AIOT platform, 6 TOPS computing power NPU, and can be equipped with up to 16GB of large memory. Supports 8K video encoding and decoding, has rich interfaces, supports dual Gigabit network ports, WIFI6/BT5.

👏Welcome the newest member of the Sige family,#Sige5(#RK3576), now officially available!
Join us on June 20th to embrace the future of #AIOT with high-performance computing at your fingertips.

#raspberrypi5 #rockchip #sbc #embedded #opensource #AI #TECH #hardware #linux #maker #geek #robotics #edgecomputing #IOT

Read more:https://docs.armsom.org/armsom-sige5

Product Introduction: Sige5 | ArmSoM docs

ArmSoM-Sige5 uses Rockchip RK3576 second-generation 8nm high-performance AIOT platform, 6 TOPS computing power NPU, and can be equipped with up to 16GB of large memory. Supports 8K video encoding and decoding, has rich interfaces, supports dual Gigabit network ports, WIFI6/BT5.

Product Introduction: Sige5 | ArmSoM docs

ArmSoM-Sige5 uses Rockchip RK3576 second-generation 8nm high-performance AIOT platform, 6 TOPS computing power NPU, and can be equipped with up to 16GB of large memory. Supports 8K video encoding and decoding, has rich interfaces, supports dual Gigabit network ports, WIFI6/BT5.

😀 Exciting demo with ArmSoM-#Sige5 (#RK3576 dev board)! Check out the stunning clarity from the #OV13850 high-def camera in our latest live stream.
For more info:
https://docs.armsom.org/armsom-sige5
#opensource #sbc #raspberrypi #bananapi #AI #rockchip #tech #linux #hardware #iot
Product Introduction: Sige5 | ArmSoM docs

ArmSoM-Sige5 uses Rockchip RK3576 second-generation 8nm high-performance AIOT platform, 6 TOPS computing power NPU, and can be equipped with up to 16GB of large memory. Supports 8K video encoding and decoding, has rich interfaces, supports dual Gigabit network ports, WIFI6/BT5.