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GitHub - j0ju/sbc-fw-alchemy: Mangle exi...
# │firmware-dev
j
I started working with my Orin NX 16 GB. I found the need for an dedicated x86 or arm64 host unconvinient. So I created a PXE bootable image, that works at least for Orin NX 16 GB, from which I can install without the L4T JetPack toolchain or NVidias SDK Manager. You can find it here https://github.com/j0ju/sbc-fw-alchemy along side with my TuringPi2 alpine image. The images to build are: * output/l4t-jetpack7.2.1.initramfs.xz * output/l4t-jetpack7.2.1.rootfs.tar.zst * output/l4t-jetpack7.2.1.vmlinuz Instead of NVIDIAs initramfs I use for the installed system the ones generated by initramfs-tools. For TP2 the serial console on /dev/ttyTHS1 is enabled, unfortunatly you cannot put the UEFI & Kernel console to anything else than /dev/ttyTCU0. More specific docs for L4T on TP2 see: https://github.com/j0ju/sbc-fw-alchemy/blob/main/docs/TuringPi2-Alpine/L4T.Install.md and https://github.com/j0ju/sbc-fw-alchemy/blob/main/docs/L4T/braindump.md
This is for now only tested on Orin NX 16GB, any patches are welcome for other tegra modules.
I like to get the USB-C connector also avail as USB host if possible: https://discord.com/channels/754950670175436841/1543675908034920518/1543675908034920518
I tested 3d acceleration and Ollama it worked with more than 0.1 TOPS 😉 I need to do some more test and benchmarking and to see if I missed anything else. For now I changed to this OrinNX with 16GB in Slot1 as Desktop. Box64 runs. Will do some Pytorch tests in the next weeks depending on the time.
The Nvidia Orin is also detecting a Bfluefield card connected to the NVMe 4x connector at the bottom (https://discord.com/channels/754950670175436841/1030129990211219486/1496511923808632933) in contrast to RK1 or CM4/5. This allows more flexible expeirments like a 5 or even 6 node arm cluster cluster, extended network connectivity/bandwidth or the use of Snap to attach more storage via the Bluefield as PCIe virtual function (NVMe or virtio)
l
Nice! That is quite impressive! Little bit overpowered but it looks like a nice way to chain Turing pi 2 clusters
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