Getting Started with reComputer Industrial | Seeed Studio Wiki #1337
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Why do I need the custom Image? Some things are easier with the version installed via Nvidia SDK Manager e.g. pip, curl already installed. |
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Do you also have a Jetpack 6 image for the reComputer Industrial J4012 (16GB)? In the download section, it seems like only the 8GB image is available. |
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Is there a specific reason why the J3010 (Jetson Orin Nano 4GB) custom image comes with CUDA-Toolkit 11.8, instead of the CUDA Toolkit 12.2 or 12.4? |
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¿Downloading the OS image takes forever and ever, could you please improve the link? |
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I want to make a NVMe for one jetson device and update the jetpack. I followed the instructions to flash the jetson device and create a golden NVMe. Now, I want to clone this golden NVMe to use on other jetson. When I insert the cloned NVMe, I get Invalid header detected on UEFI suppiler FDT,ignoring ... and it never boots up. Is there a way around it? I dont want to keep on flashin ubuntu on every jetson |
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Hi, I just try flash Seedstudio Jetson recomputer industrial J4012 device. I add 1TB nvme disk, but it is not important for me where will be installed system: on Jetson or on nvme disk. I try flash with Jetpack 5.1 using command: sudo ./tools/kernel_flash/l4t_initrd_flash.sh --flash-only --massflash 1 --network usb0 --showlogs and get output: Writing gpt_secondary_3_0.bin (parittion: secondary_gpt) into /dev/mtd0
Sha1 checksum matched for /mnt/internal/gpt_secondary_3_0.bin
Writing /mnt/internal/gpt_secondary_3_0.bin (16896 bytes) into /dev/mtd0:67091968
Copied 16896 bytes from /mnt/internal/gpt_secondary_3_0.bin to address 0x03ffbe00 in flash
[ 177]: l4t_flash_from_kernel: Successfully flash the qspi
[ 177]: l4t_flash_from_kernel: Failed to write to APP
[ 177]: l4t_flash_from_kernel: The device size indicated in the partition layout xml is smaller than the actual size. This utility will try to fix the GPT.
[ 177]: l4t_flash_from_kernel: Error flashing external device
Flash failure
Cleaning up... When I try do same, but using Jetpack 6.0, i get another output. sudo ./tools/kernel_flash/l4t_initrd_flash.sh --flash-only --massflash 1 --network usb0 --showlogs last lines of output: Copied 109 bytes from /mnt/internal/qspi_bootblob_ver.txt to address 0x03fe0000 in flash
Writing gpt_secondary_3_0.bin (parittion: secondary_gpt) into /dev/mtd0
Sha1 checksum matched for /mnt/internal/gpt_secondary_3_0.bin
Writing /mnt/internal/gpt_secondary_3_0.bin (16896 bytes) into /dev/mtd0:67091968
Copied 16896 bytes from /mnt/internal/gpt_secondary_3_0.bin to address 0x03ffbe00 in flash
[ 176]: l4t_flash_from_kernel: Successfully flash the qspi
[ 176]: l4t_flash_from_kernel: The device size indicated in the partition layout xml is smaller than the actual size. This utility will try to fix the GPT.
[ 176]: l4t_flash_from_kernel: Failed to write to APP
[ 176]: l4t_flash_from_kernel: Error flashing external device
Flash failure
Either the device cannot mount the NFS server on the host or a flash command has failed. Debug log saved to /tmp/tmp.NKjX8q6cJu. You can access the target's terminal through "sshpass -p root ssh root@fc00:1:1:0::2"
Cleaning up... How to fix it? |
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Hi by any chance do you have a compilation of Tensorflow with GPU, that currently works with Orin NX 16GB: 0955:7323 NVidia Corp j4012 jetpack 6.1, tried but seems the build of your image crashes |
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Getting Started with reComputer Industrial | Seeed Studio Wiki
reComputer Industrial Getting Started
https://wiki.seeedstudio.com/reComputer_Industrial_Getting_Started/
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