Can anyone explain or reference , using precise component lists and component numbers, a sample #jetsonnano #AI project? The number of different boards is perplexing.
Can anyone explain or reference , using precise component lists and component numbers, a sample #jetsonnano #AI project? The number of different boards is perplexing.
Anyone got #nixos running on a #jetson ? #jetsonnano #NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
(Do these boards work at all e.g. with Ubuntu 22.04 LTS ?)
NVIDIA Jetson Nano: Affordable AI for Road Safety
https://rackenzik.com/nvidia-jetson-nano-affordable-ai-for-road-safety/
#AI
#AutonomousDriving
#JetsonNano
#NVIDIA
#ComputerVision
#EdgeComputing
#DeepLearning
#RoadSafety
#EmbeddedSystems
#OpenHardware
#SelfDrivingCars
#ADAS
#MachineLearning
#SmartMobility
#AIForSafety
🔜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.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
https://crowdsupply.com/armsom/rk3588-ai-module7
The RK3588 AIModule7 is coming soon. Are you ready for it? Don't forget to subscribe and stay tuned!
https://crowdsupply.com/armsom/rk3588-ai-module7
#jetsonnano #hpc #homelab #AI #server #edgeAI #armbian #linux #hardware #makers #iot #machinelearning #robotics
Check out the latest Geekbench scores! The ArmSoM-RK3588AIModule7 AIM7 (8GB) is leading the pack with a multi-core score of 3135!#Jetsonnano #raspberrypi5 #Jetsonorinnano
#AI #llm #opensource #deepseek #rockchip #machinelearning #iot
How does it compare to your favorite device? Let us know in the comments! 👇
💡Stay updated by subscribing our campaign process!https://crowdsupply.com/armsom/rk3588-ai-module7
🎉 Congratulations to our lucky winner,--eduardo_ruizp
🤗 A massive thank you to all for joining in - your enthusiasm is the driving force behind our community. Keep an eye out for more fantastic #giveaways coming your way!
#RK3588AIModule7 #jetsonnano #llm #linux #armbian #iot #hpc #gadgets #maker #machinelearning #npu
We're excited to pre launch our #RK3588 AI Module compatible with the Nvidia #JetsonNano ecosystem crowdfunding campaign
Dive into the details and back our campaign: https://crowdsupply.com/armsom/rk3588-ai-module7…… 👉Stay ahead with updates—subscribe and leave your email!#opensource #ai #sbc
I almost went out to buy a Raspberry Pi Zero, but then I remembered that I already had one somewhere. So, I looked for it, and this is what I found.
#Arduino #jetsonnano #raspberrypi
🙌 Thank you all for the love and support shown to the crowdfunding product #RK3588AIModule7! Your enthusiasm fuels our innovation. #TensorFlow #LLMs #jetsonnano #opensource #rockchip #HPC
👉Pre-launch Signup (subscribed before the campaign launched)https://crowdsupply.com/armsom/rk3588-ai-module7
Elecrow va lancer dans les prochains jours sur Kickstarter ce combiné Ecran IPS + Clavier + Pad souris qui permet de transformer vos appareils en ordinateur portable (Raspberry Pi #JetsonNano #smartphones #tablettes #consolesDeJeu ...
Plus d'informations sur le blog
https://bsky.app/profile/framboise314.fr/post/3kzjq53zx5u2u
Why Choose the #RK3588AIModule7 ?
Ideal for creative projects/Advanced codec alternative to #JetsonNano/Multi-OS support: #Armbian #Debian, #Ubuntu, etc/#Opensource design for #DIY baseboards/Efficient AI power/Supports the #opensourcehardware movement.
👉https://crowdsupply.com/armsom/rk3588-ai-module7
Discover more and subscribe our pre-launch campaign on @crowdsupply to stay updated on our progress and be part of this innovative journey. Let's make it a reality!#tech
We're excited to pre launch our #RK3588AIModule7 -compatible with the Nvidia #JetsonNano ecosystem crowdfunding campaign on
@crowdsupply
Dive into the details and back our campaign: https://crowdsupply.com/armsom/rk3588-ai-module7
👉Stay ahead with updates—subscribe and leave your email!#opensource
@cnxsoft @MakeMagazinDE @tomshardware
@itsfoss @armbian @collabora @manjarolinux
Banana Pi BPI-AIM7 core board + base board kit have finished all function test , Will be mass produced soon
https://docs.banana-pi.org/en/BPI-AIM7/BananaPi_BPI-AIM7
#ai #rk3588 #JetsonNano #bananapi
Banana Pi BPI-AIM7 with #Rockchip #RK3588, 6 TOPS computing power NPU, and can be equipped with up to 32GB of large memory. While the interface is fully compatible with #JetsonNano
https://docs.banana-pi.org/en/BPI-AIM7/BananaPi_BPI-AIM7
#bannapi #aim7 #ai #EdgeComputing #raspberrypi #orangepi
#Frigate on my ancient #jetsonnano is going great..
Thanks to #ElephantRobotics, you can take your robotics arm places. I'm taking the first steps with #JetsonNano and autonomous driving with #myAGV2023 and #UltraArm. See it in action next to #ERflex
#net_n #robotics
https://notenoughtech.com/robotics/myagv-2023/
Banana Pi BPI-AIM7 AI computer module with NVIDIA Jetson Nano base board,BPI-AIM7 uses Rockchip RK3588,interface is fully compatible with Jetson Nano
https://docs.banana-pi.org/en/BPI-AIM7/BananaPi_BPI-AIM7
#bananapi #ai #NVIDIA #jetsonnano #raspberrypi #sbc #opensource
So can anyone clearly tell me if #RaspberryPi 5 is faster than #JetsonNano 4GB and by how much? Or is the CPU on the Pi is faster, but the GPU is faster on Jetson Nano? Again - if so - by how much?