You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/docs/configuration/hardware_acceleration.md
+14
Original file line number
Diff line number
Diff line change
@@ -63,6 +63,20 @@ A more complete list of cards and ther compatible drivers is available in the [d
63
63
64
64
If your distribution does not offer NVIDIA driver packages, you can [download them here](https://www.nvidia.com/en-us/drivers/unix/).
65
65
66
+
### KHADAS VIM3 SBC
67
+
68
+
This SBC is equipped with the Verisilicon TPU. Khadas Website (https://www.khadas.com/vim3)
69
+
config.yml
70
+
```
71
+
vim3:
72
+
type: vim3
73
+
```
74
+
75
+
NOTE! - most distributions do not include a working galcore.ko kernel driver that matches the NPU module. [Download galcore.ko](https://drive.google.com/file/d/1pxCDMp686kCuYvdABJsWFBVvXnMBXk0z/view?usp=sharing) and place in the /lib/modules/4.9.241/kernel/drivers/amlogic/ directory [Download link TBC]
76
+
Debian11 build link
77
+
78
+
This needs to run in Docker --priviledged mode
79
+
66
80
#### Docker Configuration
67
81
68
82
Additional configuration is needed for the Docker container to be able to access the NVIDIA GPU. The supported method for this is to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker) and specify the GPU to Docker. How you do this depends on how Docker is being run:
0 commit comments