#bannapi

Banana Pi Open Source Hardwarebananapi
2024-05-28

Banana Pi BPI-AIM7 with , 6 TOPS computing power NPU, and can be equipped with up to 32GB of large memory. While the interface is fully compatible with
docs.banana-pi.org/en/BPI-AIM7

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 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 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 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

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst