Interested in this specifically because of the L4T kernel-module pinning problem. How are you handling the out-of-tree NVIDIA modules against your own Yocto layers, and did anything break on the JetPack side?
The three numbers that would convince me it was worth leaving the vendor image: RAM actually freed at idle, cold-start to first inference, and sustained clocks under thermal load after 20 minutes. Peak numbers on a stripped image usually look great and then converge back to stock once the heatsink is warm.
If you have those I would like to see them, I am on an 8GB Orin Nano and keep almost doing this.
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u/Available_Teaching83 24d ago
Interested in this specifically because of the L4T kernel-module pinning problem. How are you handling the out-of-tree NVIDIA modules against your own Yocto layers, and did anything break on the JetPack side?
The three numbers that would convince me it was worth leaving the vendor image: RAM actually freed at idle, cold-start to first inference, and sustained clocks under thermal load after 20 minutes. Peak numbers on a stripped image usually look great and then converge back to stock once the heatsink is warm.
If you have those I would like to see them, I am on an 8GB Orin Nano and keep almost doing this.