나라에서 내려주는(!) 2년에 한번 고문
아우.. 이거 안할수 있는 방법 없나!!!!!
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나라에서 내려주는(!) 2년에 한번 고문
아우.. 이거 안할수 있는 방법 없나!!!!!
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2026.07.24 기준
jetpack 7.2 / jetson linux 39.2
[링크 : https://developer.nvidia.com/embedded/jetpack/downloads]
[링크 : https://docs.nvidia.com/jetson/agx-thor-devkit/user-guide/latest/quick_start.html]
[링크 : https://docs.nvidia.com/jetson/agx-thor-devkit/user-guide/latest/twa_display_handoff.html]
usb 키보드 연결하고 esc 연타.

그나저나 먼가 익숙한(?) imx8mp 때의 부트로더라고 해야하나
UEFI 로더라고 해야하나 이게 보이네?!
boot manager 선택하고

NVIDIA Configuration 선택

Boot Configuration 선택

밑으로 내려가서(위로 한번 누르면 바로 내려감)
SOC Display Hand-Off Mode를 Auto 로 해주고 usb에 iso 구워서 켜면 그냥 pc 처럼 설치가 되나보다.

그냥 USB 꽂고 F11 눌러서 부팅 장치 선택하니(완전 PC네!)
USB 선택하고 엔터!

최후 통첩(?) 30초 기다려준다!

우분투 grub 는 깜박잊고(맨날 보던거라..) 그냥 넘어가버렸고
하위 선택에서 'Install on NVMe' 선택

많이 깔꺼니까 15분 정도 기다려! 라니!~ ㅋㅋ

엣! 잠시 자리 비운 사이에 리부팅 되었나 보다. 먼가 업데이트 하는 중

휴.. 조마조마했는데 다행이 먼가 뜬다!

먼가 설정하고 하니 24.04.4 기반이군

| nvidia jetson agx thor / 디버그 usb (0) | 2026.07.27 |
|---|---|
| nvidia-smi mig (0) | 2026.07.26 |
| nvidia MIG(multiple instance GPU) - thor (0) | 2026.07.24 |
| nvidia jetson agx thor 아니고 nvidia thor? (0) | 2026.07.24 |
| jetson nano + llama.cpp vulkan (0) | 2026.07.21 |
티스토리는 이거 대응한다고 업로드 하면 약간의 시간이 지난 후에 뜬다.
살색이 많은 이미지도 아닌데 왜 이래?

| 방문자 어디까지 올라가는거에요? (2) | 2026.09.02 |
|---|---|
| 해피빈 기부 (0) | 2026.08.18 |
| 다음은 언제이려나? ㅋㅋ (2) | 2026.06.23 |
| 한 달에 한 번? (0) | 2026.06.17 |
| 개인정보 유출 통지 - 데이원 컴퍼니 <- 콜로소 (2) | 2026.06.11 |
벌써 3년전에 가볍게(?) 해봤었네..
또 까먹다니 이 기억력 어쩔.. ㅠㅠ
그때와 다른건.. 작년 부터 /boot/config.txt의 경로가 달라졌다는 정도?
| $ uname -a Linux raspberrypi 6.12.25+rpt-rpi-v7 #1 SMP Raspbian 1:6.12.25-1+rpt1 (2025-04-30) armv7l GNU/Linux $ cat /boot/config.txt DO NOT EDIT THIS FILE The file you are looking for has moved to /boot/firmware/config.txt $ cat /boot/firmware/config.txt [all] dtoverlay=mcp2515-can0,oscillator=8000000,interrupt=12 dtoverlay=spi-bcm2835-overlay $ sudo ip link set can0 up type can bitrate 125000 $ ifconfig can0 can0: flags=193<UP,RUNNING,NOARP> mtu 16 unspec 00-00-00-00-00-00-00-00-00-00-00-00-00-00-00-00 txqueuelen 10 (UNSPEC) RX packets 0 bytes 0 (0.0 B) RX errors 0 dropped 0 overruns 0 frame 0 TX packets 0 bytes 0 (0.0 B) TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0 $ dmesg | grep -i can [ 12.948060] CAN device driver interface [ 13.070005] mcp251x spi0.0 can0: MCP2515 successfully initialized. $ lsmod |grep can can_dev 40960 1 mcp251x |
loopback 설정. ifconfig 상으로는 별다른 티가 안난다
| $ sudo ip link set can0 up type can bitrate 125000 loopback on $ sudo ifconfig can0 can0: flags=193<UP,RUNNING,NOARP> mtu 16 unspec 00-00-00-00-00-00-00-00-00-00-00-00-00-00-00-00 txqueuelen 10 (UNSPEC) RX packets 0 bytes 0 (0.0 B) RX errors 0 dropped 0 overruns 0 frame 0 TX packets 0 bytes 0 (0.0 B) TX errors 0 dropped 0 overruns 0 carrier 0 collisions 0 |
[링크 : https://forums.raspberrypi.com/viewtopic.php?t=7027&start=225]
아무튼 loopback을 활성화 하고 ssh 로 창 두개 열어서 한쪽은 candump 실행해두고
다른 한쪽에서 cansend로 보내면 보내진다.
| $ cansend can0 5A1#11.2233.44556677.88 |
| $ candump can0 can0 5A1 [8] 11 22 33 44 55 66 77 88 can0 5A1 [8] 11 22 33 44 55 66 77 88 |
| $ demsg | tail [ 965.109222] can: controller area network core [ 965.109370] NET: Registered PF_CAN protocol family [ 965.136117] can: raw protocol [ 1028.671698] mcp251x spi0.0 can0: bus-off |
[링크 : https://whiteknight3672.tistory.com/346]
[링크 : https://blog.naver.com/mts90/221644429413]
[링크 : https://wp.mytv.kr/2019/10/31/raspberry-pi-에서-can-통신-사용하기/] 결선도
2023.10.31 - [모종의 음모/CAN] - MCP2515 on rpi
2025.02.19 - [모종의 음모/CAN] - candump, cansend와 vcan
+
MCP2515 / TJA1050

D0695323C 라고 써있어서
이게 8 MHz 인지 16 MHz 인질 모르겠다. 검색해도 안나온다.
일단 두대를 보니 서로 다른게 써있어서 그냥 시리얼 번호라고 생각하는 중.

일단은 3.3V했는데 이러면 외부로 신호는 발생시키지 못할 듯.

예전에도 본건 데 전원이 잘못되었다고 개조를 해야 한다고 하는데
지금 다시 읽어보니 라즈베리 파이 gpio 가 3.3V 라서 아두이노와는 다르게 5V로 주면 라즈베리가 데미지 입게된다.
| Because MCP2515 must be powered from 3,3V, because MCP2515 is directly connected to Pi GPIO and GPIO only accept 3,3V |
[링크 : https://forums.raspberrypi.com/viewtopic.php?t=141052]
데이터 시트를 찾아보면
MCP2515는 2.7 V~5.5 V 면 되지만 SPI 도 Vdd 전압 따라가게 되면 흐음..


CAN tranceiver칩은 4.75~5.25V 사이에 전압을 공급해야 한다.

[링크 : https://www.nxp.com/docs/en/data-sheet/TJA1050.pdf]
걍 속편하게 SPI 쪽만 레벨 시프터 쓸까? 개조가 나을까..
| can.. 개조? (0) | 2026.08.31 |
|---|---|
| can 트랜시버 - SN65HVD230 (0) | 2026.08.20 |
| obd can (0) | 2026.07.23 |
| DeviceNet CAN (0) | 2025.04.01 |
| candump, cansend와 vcan (0) | 2025.02.19 |
모델이 작은거라 그런가 94% 인데 33W라.. 좀 더 빡세게 굴려봐야하나 ㅋㅋ

| $ ./llama-b10099/llama-cli -m ./model/gemma4-e4b-qat/gemma-4-E4B-it-qat-UD-Q4_K_XL.gguf > 안녕? [ Prompt: 8.0 t/s | Generation: 45.2 t/s ] > 너에 대한 소개 [ Prompt: 92.5 t/s | Generation: 51.4 t/s ] > 파이썬으로 셀레니움을 통해 웹을 서칭하고 텍스트만 추출하고 makrdown 으로 변환후 md 파일과 pdf로 저장하는 기능을 구현해줘 [ Prompt: 803.0 t/s | Generation: 48.9 t/s ] |
| $ ./llama-b10099/llama-cli -m ./model/qwen3.5/Qwen3.5-0.8B-UD-Q4_K_XL.gguf -rea off > 안녕? [ Prompt: 152.3 t/s | Generation: 121.5 t/s ] > 너에 대한 소개 [ Prompt: 218.0 t/s | Generation: 140.4 t/s ] > 파이썬으로 셀레니움을 통해 웹을 서칭하고 텍스트만 추출하고 makrdown 으로 변환후 md 파일과 pdf로 저장하는 기능을 구현해줘 [ Prompt: 68.2 t/s | Generation: 136.5 t/s ] |
컨텍스트 줄인다고 빨라지진 않네
| $ ./llama-b10099/llama-cli -m ./model/qwen3.5/Qwen3.5-0.8B-UD-Q4_K_XL.gguf -rea off -c 4096 > 안녕? [ Prompt: 177.3 t/s | Generation: 131.4 t/s ] > 너에 대한 소개 [ Prompt: 335.9 t/s | Generation: 140.5 t/s ] > 파이썬으로 셀레니움을 통해 웹을 서칭하고 텍스트만 추출하고 makrdown 으로 변환후 md 파일과 pdf로 저장하는 기능을 구현해줘 [ Prompt: 1389.9 t/s | Generation: 136.3 t/s ] |
| $ ./llama-b10099/llama-cli -m ./model/gemma4-e4b/gemma-4-E4B-it-Q4_K_M.gguf > 안녕? [ Prompt: 1.0 t/s | Generation: 26.9 t/s ] > 안녕? [ Prompt: 65.8 t/s | Generation: 42.2 t/s ] > 너에 대한 소개 [ Prompt: 121.2 t/s | Generation: 41.9 t/s ] > 파이썬으로 셀레니움을 통해 웹을 서칭하고 텍스트만 추출하고 makrdown 으로 변환후 md 파일과 pdf로 저장하는 기능을 구현해줘 [ Prompt: 916.7 t/s | Generation: 41.1 t/s ] |
gemma4-31B 는 조금 더 뜨끈해진다.

| $ ./llama-b10099/llama-cli -m ./model/gemma4-31b/gemma-4-31B-it-UD-Q2_K_XL.gguf > 안녕? [ Prompt: 1.1 t/s | Generation: 6.9 t/s ] > 너에 대한 소개 [ Prompt: 11.5 t/s | Generation: 7.1 t/s ] > 파이썬으로 셀레니움을 통해 웹을 서칭하고 텍스트만 추출하고 makrdown 으로 변환후 md 파일과 pdf로 저장하는 기능을 구현해줘 [ Prompt: 68.3 t/s | Generation: 6.9 t/s ] |
메모리가 의외로 얼마 안먹나?
| nvidia@localhost:~/llm$ free -h total used free shared buff/cache available Mem: 122Gi 40Gi 2.2Gi 26Mi 81Gi 82Gi Swap: 2.0Gi 256Ki 2.0Gi nvidia@localhost:~/llm$ free -h total used free shared buff/cache available Mem: 122Gi 37Gi 5.0Gi 26Mi 81Gi 85Gi Swap: 2.0Gi 256Ki 2.0Gi |
파일이 11G 인데 저거밖에 안 먹는게 맞..나?
| $ ll -h ./model/gemma4-31b/gemma-4-31B-it-UD-Q2_K_XL.gguf -rw-rw-r-- 1 nvidia nvidia 11G 7월 24 11:11 ./model/gemma4-31b/gemma-4-31B-it-UD-Q2_K_XL.gguf |
qwen3.6 35B는 의외로 빠르다 머지?
| $ ./llama-b10099/llama-cli -m ./model/qwen3.6_35B/Qwen3.6-35B-A3B-UD-Q2_K_XL.gguf > 안녕? [ Prompt: 6.0 t/s | Generation: 43.9 t/s ] > 너에 대한 소개 [ Prompt: 39.6 t/s | Generation: 45.1 t/s ] > 파이썬으로 셀레니움을 통해 웹을 서칭하고 텍스트만 추출하고 makrdown 으로 변환후 md 파일과 pdf로 저장하는 기능을 구현해줘 [ Prompt: 93.7 t/s | Generation: 43.6 t/s ] |
메모리는 봐도 모르겠다
| nvidia@localhost:~/llm$ free -h total used free shared buff/cache available Mem: 122Gi 38Gi 3.8Gi 26Mi 81Gi 83Gi Swap: 2.0Gi 256Ki 2.0Gi nvidia@localhost:~/llm$ free -h total used free shared buff/cache available Mem: 122Gi 37Gi 5.0Gi 26Mi 81Gi 85Gi Swap: 2.0Gi 256Ki 2.0Gi |
+
gpu vram 아니라 system 메모리 측정하면 되는데
어우.. e4b 인데도 9.7G
| $ ./llama-b10099/llama-cli -m ./model/gemma4-e4b/gemma-4-E4B-it-Q4_K_M.gguf |

qwen3.6 35B 19.5G ㄷㄷ
| $ ./llama-b10099/llama-cli -m ./model/qwen3.6_35B/Qwen3.6-35B-A3B-UD-Q2_K_XL.gguf |

| vllm concurrent test/benchmark (0) | 2026.07.29 |
|---|---|
| vllm parallelism - concurrency (0) | 2026.07.28 |
| llama.cpp for arm64 (0) | 2026.07.20 |
| llama.cpp / qwen3.5 0.8B / 1060, 1080 ti (0) | 2026.07.19 |
| LLM 지식 증류(knowledge distilation), lora (0) | 2026.07.18 |
귀찮아서 명령어 조합 저장
| sudo systemctl stop gdm sudo systemctl stop nvargus-daemon sudo nvidia-smi -pm 1 sudo nvidia-smi -i 0 -mig 1 sudo nvidia-smi mig -cgi 80,83 -C |
----
헛다리를 짚은것 같은데 메모리가 안나오는건 공유 메모리를 써서 인가.. 싶기도 하고?
아무튼 thor iGPU에서는 최대 2개로 나누어 쓸 수 있나 본데
gfx는 외부 출력 포트를 쓸수 있냐 없냐의 차이인것 같고

[링크 : https://docs.nvidia.com/datacenter/tesla/mig-user-guide/supported-mig-profiles.html]
| nvidia@localhost:~$ nvidia-smi -L GPU 0: NVIDIA Thor (UUID: GPU-a7c66ad2-6dbb-0ab8-c1a2-37ba6dba3600) nvidia@localhost:~$ nvidia-smi -i 0 -q ==============NVSMI LOG============== Timestamp : Fri Jul 24 11:33:07 2026 Driver Version : 580.00 CUDA Version : 13.0 Attached GPUs : 1 GPU 00000000:01:00.0 Product Name : NVIDIA Thor Product Brand : GeForce Product Architecture : Blackwell Display Mode : Requested functionality has been deprecated Display Attached : No Display Active : Disabled Persistence Mode : Disabled Addressing Mode : ATS MIG Mode Current : Disabled Pending : Disabled Accounting Mode : Disabled Accounting Mode Buffer Size : 4000 Driver Model Current : N/A Pending : N/A Serial Number : N/A GPU UUID : GPU-a7c66ad2-6dbb-0ab8-c1a2-37ba6dba3600 GPU PDI : 0x9257b02c0bd38a20 Minor Number : 0 VBIOS Version : N/A MultiGPU Board : No Board ID : 0x100 Board Part Number : N/A GPU Part Number : 2B00--A1 FRU Part Number : N/A Platform Info Chassis Serial Number : N/A Slot Number : N/A Tray Index : N/A Host ID : N/A Peer Type : N/A Module Id : N/A GPU Fabric GUID : N/A Inforom Version Image Version : N/A OEM Object : N/A ECC Object : N/A Power Management Object : N/A Inforom BBX Object Flush Latest Timestamp : N/A Latest Duration : N/A GPU Operation Mode Current : N/A Pending : N/A GPU C2C Mode : Disabled GPU Virtualization Mode Virtualization Mode : None Host VGPU Mode : N/A vGPU Heterogeneous Mode : N/A GPU Recovery Action : None GSP Firmware Version : 580.00 IBMNPU Relaxed Ordering Mode : N/A PCI Bus : 0x01 Device : 0x00 Domain : 0x0000 Base Classcode : 0x3 Sub Classcode : 0x2 Device Id : 0x2B0010DE Bus Id : 00000000:01:00.0 Sub System Id : 0x00000000 GPU Link Info PCIe Generation Max : 1 Current : 1 Device Current : 1 Device Max : 5 Host Max : 1 Link Width Max : 16x Current : 1x Bridge Chip Type : N/A Firmware : N/A Replays Since Reset : 0 Replay Number Rollovers : 0 Tx Throughput : N/A Rx Throughput : N/A Atomic Caps Outbound : FETCHADD_32 FETCHADD_64 SWAP_32 SWAP_64 CAS_32 CAS_64 Atomic Caps Inbound : N/A Fan Speed : N/A Performance State : N/A Clocks Event Reasons : N/A Clocks Event Reasons Counters SW Power Capping : N/A Sync Boost : N/A SW Thermal Slowdown : N/A HW Thermal Slowdown : N/A HW Power Braking : N/A Sparse Operation Mode : N/A FB Memory Usage Total : N/A Reserved : N/A Used : N/A Free : N/A BAR1 Memory Usage Total : N/A Used : N/A Free : N/A Conf Compute Protected Memory Usage Total : 0 MiB Used : 0 MiB Free : 0 MiB Compute Mode : Default Utilization GPU : 98 % Memory : 0 % Encoder : 0 % Decoder : 0 % JPEG : 0 % OFA : 0 % Encoder Stats Active Sessions : 0 Average FPS : 0 Average Latency : 0 FBC Stats Active Sessions : 0 Average FPS : 0 Average Latency : 0 DRAM Encryption Mode Current : N/A Pending : N/A ECC Mode Current : N/A Pending : N/A ECC Errors Volatile SRAM Correctable : N/A SRAM Uncorrectable Parity : N/A SRAM Uncorrectable SEC-DED : N/A DRAM Correctable : N/A DRAM Uncorrectable : N/A Aggregate SRAM Correctable : N/A SRAM Uncorrectable Parity : N/A SRAM Uncorrectable SEC-DED : N/A DRAM Correctable : N/A DRAM Uncorrectable : N/A SRAM Threshold Exceeded : N/A Aggregate Uncorrectable SRAM Sources SRAM L2 : N/A SRAM SM : N/A SRAM Microcontroller : N/A SRAM PCIE : N/A SRAM Other : N/A Channel Repair Pending : N/A TPC Repair Pending : N/A Retired Pages Single Bit ECC : N/A Double Bit ECC : N/A Pending Page Blacklist : N/A Remapped Rows : N/A Temperature GPU Current Temp : 60 C GPU T.Limit Temp : N/A GPU Shutdown Temp : N/A GPU Slowdown Temp : N/A GPU Max Operating Temp : N/A GPU Target Temperature : N/A Memory Current Temp : N/A Memory Max Operating Temp : N/A GPU Power Readings Average Power Draw : N/A Instantaneous Power Draw : 36.21 W Current Power Limit : N/A Requested Power Limit : N/A Default Power Limit : N/A Min Power Limit : N/A Max Power Limit : N/A GPU Memory Power Readings Average Power Draw : N/A Instantaneous Power Draw : N/A Module Power Readings Average Power Draw : N/A Instantaneous Power Draw : N/A Current Power Limit : N/A Requested Power Limit : N/A Default Power Limit : N/A Min Power Limit : N/A Max Power Limit : N/A Power Smoothing : N/A Workload Power Profiles Requested Profiles : N/A Enforced Profiles : N/A Clocks Graphics : 1575 MHz SM : N/A Memory : N/A Video : 315 MHz Applications Clocks Graphics : Requested functionality has been deprecated Memory : Requested functionality has been deprecated Default Applications Clocks Graphics : Requested functionality has been deprecated Memory : Requested functionality has been deprecated Deferred Clocks Memory : N/A Max Clocks Graphics : N/A SM : N/A Memory : N/A Video : N/A Max Customer Boost Clocks Graphics : N/A Clock Policy Auto Boost : N/A Auto Boost Default : N/A Fabric State : Deprecated; See field Probe State instead Probe State : N/A Status : Deprecated; See field Probe Status instead Probe Status : N/A CliqueId : N/A ClusterUUID : N/A Health Summary : N/A Bandwidth : N/A Route Recovery in progress : N/A Route Unhealthy : N/A Access Timeout Recovery : N/A Incorrect Configuration : N/A Processes GPU instance ID : N/A Compute instance ID : N/A Process ID : 3559 Type : G Name : /usr/lib/xorg/Xorg Used GPU Memory : 95 MiB GPU instance ID : N/A Compute instance ID : N/A Process ID : 3775 Type : G Name : /usr/bin/gnome-shell Used GPU Memory : 58 MiB GPU instance ID : N/A Compute instance ID : N/A Process ID : 8710 Type : C+G Name : ./llama-b10099/llama-cli Used GPU Memory : 33671 MiB Capabilities EGM : disabled nvidia@localhost:~$ nvidia-smi mig -lgip +-------------------------------------------------------------------------------+ | GPU instance profiles: | | GPU Name ID Instances Memory P2P SM DEC ENC | | Free/Total GiB CE JPEG OFA | |===============================================================================| |
[링크 : https://blog.naver.com/techtrip/224167049409]
+
gdm만 죽이나 isolate 해서 죽이나 별반 차이 없는 것 같이 안된다 ㅠㅠ
| nvidia@localhost:~$ nvidia-smi -i 0 Fri Jul 24 11:57:43 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 580.00 Driver Version: 580.00 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA Thor Off | 00000000:01:00.0 Off | N/A | | N/A 40C N/A 2W / N/A | Not Supported | 0% Default | | | | Disabled | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 3559 G /usr/lib/xorg/Xorg 95MiB | | 0 N/A N/A 3775 G /usr/bin/gnome-shell 58MiB | +-----------------------------------------------------------------------------------------+ nvidia@localhost:~$ systemctl stop gdm ==== AUTHENTICATING FOR org.freedesktop.systemd1.manage-units ==== Authentication is required to stop 'gdm.service'. Authenticating as: nvidia Password: ==== AUTHENTICATION COMPLETE ==== nvidia@localhost:~$ nvidia-smi -i 0 Fri Jul 24 11:58:10 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 580.00 Driver Version: 580.00 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA Thor Off | 00000000:01:00.0 Off | N/A | | N/A 40C N/A 1W / N/A | Not Supported | 0% Default | | | | Disabled | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ nvidia@localhost:~$ nvidia-smi -L GPU 0: NVIDIA Thor (UUID: GPU-a7c66ad2-6dbb-0ab8-c1a2-37ba6dba3600) nvidia@localhost:~$ nvidia-smi -i 0 -mig 1 Unable to enable MIG Mode for GPU 00000000:01:00.0: Insufficient Permissions Terminating early due to previous errors. nvidia@localhost:~$ sudo nvidia-smi -i 0 -mig 1 Enabled MIG Mode for GPU 00000000:01:00.0 Warning: persistence mode is disabled on device 00000000:01:00.0. See the Known Issues section of the nvidia-smi(1) man page for more information. Run with [--help | -h] switch to get more information on how to enable persistence mode. All done. nvidia@localhost:~$ nvidia-smi -L GPU 0: NVIDIA Thor (UUID: GPU-a7c66ad2-6dbb-0ab8-c1a2-37ba6dba3600) nvidia@localhost:~$ sudo nvidia-smi -L GPU 0: NVIDIA Thor (UUID: GPU-a7c66ad2-6dbb-0ab8-c1a2-37ba6dba3600) nvidia@localhost:~$ nvidia-smi Fri Jul 24 12:00:54 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 580.00 Driver Version: 580.00 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA Thor Off | 00000000:01:00.0 Off | N/A | | N/A 40C N/A 3W / N/A | Not Supported | N/A Default | | | | Enabled | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | MIG devices: | +------------------+----------------------------------+-----------+-----------------------+ | GPU GI CI MIG | Shared Memory-Usage | Vol| Shared | | ID ID Dev | Shared BAR1-Usage | SM Unc| CE ENC DEC OFA JPG | | | | ECC| | |==================+==================================+===========+=======================| | No MIG devices found | +-----------------------------------------------------------------------------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ nvidia@localhost:~$ nvidia-smi mig -lgip +-------------------------------------------------------------------------------+ | GPU instance profiles: | | GPU Name ID Instances Memory P2P SM DEC ENC | | Free/Total GiB CE JPEG OFA | |===============================================================================| Failed to display GPU instance profiles: Unknown Error nvidia@localhost:~$ sudo nvidia-smi mig -lgip +-------------------------------------------------------------------------------+ | GPU instance profiles: | | GPU Name ID Instances Memory P2P SM DEC ENC | | Free/Total GiB CE JPEG OFA | |===============================================================================| Failed to display GPU instance profiles: Unknown Error nvidia@localhost:~$ sudo nvidia-smi -pm 1 Enabled Legacy persistence mode for GPU 00000000:01:00.0. All done. nvidia@localhost:~$ sudo nvidia-smi -i 0 -mig 1 Enabled MIG Mode for GPU 00000000:01:00.0 All done. nvidia@localhost:~$ sudo nvidia-smi mig -lgip +-------------------------------------------------------------------------------+ | GPU instance profiles: | | GPU Name ID Instances Memory P2P SM DEC ENC | | Free/Total GiB CE JPEG OFA | |===============================================================================| Failed to display GPU instance profiles: Unknown Error |
driver 버전은 이런데..
| NVIDIA-SMI 580.00 Driver Version: 580.00 CUDA Version: 13.0 |
jetpack 버전은 38.4 같다. 일단 위에서 JetPack 7.2GA/R39.2 라고 했으니 업데이드 해봐야하나?
| $ dpkg-query --show nvidia-l4t-core nvidia-l4t-core 38.4.0-20251230160601 |
[링크 : https://yoo-hk.tistory.com/555]
--
싹다 밀어버리고 컴백
| $ nvidia-smi Fri Jul 24 17:02:29 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 595.78 Driver Version: 595.78 CUDA Version: 13.2 | $ dpkg-query --show nvidia-l4t-core nvidia-l4t-core 39.2.0-20260601141651 |
일단 잡을 녀석들 죽이고
| $ sudo systemctl stop gdm $ sudo systemctl stop nvargus-daemon |
일단 persistent mode 하지 않고 하면 목록에서 에러는 나지 않는데 실패
| nvidia@nvidia:~$ nvidia-smi -i 0 -mig 1 Unable to enable MIG Mode for GPU 00000000:01:00.0: Insufficient Permissions Terminating early due to previous errors. nvidia@nvidia:~$ nvidia-smi -L GPU 0: NVIDIA Thor (UUID: GPU-a7c66ad2-6dbb-0ab8-c1a2-37ba6dba3600) nvidia@nvidia:~$ nvidia-smi mig -lgip +-------------------------------------------------------------------------------+ | GPU instance profiles: | | GPU Name ID Instances Memory P2P SM DEC ENC | | Free/Total GiB CE JPEG OFA | |===============================================================================| nvidia@nvidia:~$ sudo nvidia-smi mig -lgip +-------------------------------------------------------------------------------+ | GPU instance profiles: | | GPU Name ID Instances Memory P2P SM DEC ENC | | Free/Total GiB CE JPEG OFA | |===============================================================================| nvidia@nvidia:~$ nvidia-smi mig mig -- Multi Instance GPU management. Usage: nvidia-smi mig [options] Options include: [-h | --help]: Display help information. [-i | --id]: Enumeration index, PCI bus ID or UUID. Provide comma separated values for more than one device. [-gi | --gpu-instance-id]: GPU instance ID. Provide comma separated values for more than one GPU instance. [-ci | --compute-instance-id]: Compute instance ID. Provide comma separated values for more than one compute instance. [-lgip | --list-gpu-instance-profiles]: List supported GPU instance profiles. Option -i can be used to restrict the command to run on a specific GPU. [-lgipp | --list-gpu-instance-possible-placements]: List possible GPU instance placements in the following format, {Start}:Size. Option -i can be used to restrict the command to run on a specific GPU. [-C | --default-compute-instance]: Create compute instance with the default profile when used with the option to create a GPU instance (-cgi). [-cgi | --create-gpu-instance]: Create GPU instances for the given profile tuples. A profile tuple consists of a profile name or ID and an optional placement specifier, which consists of a colon and a placement start index. Provide comma separated values for more than one profile tuple. Option -i can be used to restrict the command to run on a specific GPU. [-dgi | --destroy-gpu-instance]: Destroy GPU instances. Options -i and -gi can be used individually or combined to restrict the command to run on a specific GPU or GPU instance. [-lgi | --list-gpu-instances]: List GPU instances. Option -i can be used to restrict the command to run on a specific GPU. [-lcip | --list-compute-instance-profiles]: List supported compute instance profiles. Options -i and -gi can be used individually or combined to restrict the command to run on a specific GPU or GPU instance. [-lcipp | --list-compute-instance-possible-placements]: List possible compute instance placements in the following format, {Start}:Size. Options -i and -gi can be used individually or combined to restrict the command to run on a specific GPU or GPU instance. [-cci | --create-compute-instance]: Create compute instance for the given profile name or IDs. Provide comma separated values for more than one profile. If no profile name or ID is given, then the default* compute instance profile ID will be used. Options -i and -gi can be used individually or combined to restrict the command to run on a specific GPU or GPU instance. [-dci | --destroy-compute-instance]: Destroy compute instances. Options -i, -gi and -ci can be used individually or combined to restrict the command to run on a specific GPU or GPU instance or compute instance. [-lci | --list-compute-instances]: List compute instances. Options -i and -gi can be used individually or combined to restrict the command to run on a specific GPU or GPU instance. |
persistent mode를 활성화 해주어야 한다. 물론 persistent mode 한다고 해서
전원 off 하고 다시 켠다고 또 되는건 아닌듯. 그럼 왜 persistent mode라고 하는겨?
| nvidia@nvidia:~$ sudo nvidia-smi -pm 1 Enabled Legacy persistence mode for GPU 00000000:01:00.0. All done. nvidia@nvidia:~$ sudo nvidia-smi -i 0 -mig 1 Enabled MIG Mode for GPU 00000000:01:00.0 All done. nvidia@nvidia:~$ sudo nvidia-smi mig -lgip +-------------------------------------------------------------------------------+ | GPU instance profiles: | | GPU Name ID Instances Memory P2P SM DEC ENC | | Free/Total GiB CE JPEG OFA | |===============================================================================| | 0 MIG 1g.0gb+me 78 1/1 0.00 No 6 1 1 | | 1 1 1 | +-------------------------------------------------------------------------------+ | 0 MIG 1g.0gb 80 1/1 0.00 No 6 1 1 | | 1 1 0 | +-------------------------------------------------------------------------------+ | 0 MIG 1g.0gb+gfx 81 1/1 0.00 No 6 1 1 | | 1 1 0 | +-------------------------------------------------------------------------------+ | 0 MIG 2g.0gb 82 1/1 0.00 No 12 1 1 | | 1 1 0 | +-------------------------------------------------------------------------------+ | 0 MIG 2g.0gb+gfx 83 1/1 0.00 No 12 1 1 | | 1 1 0 | +-------------------------------------------------------------------------------+ | 0 MIG 3g.0gb 0 1/1 0.00 No 20 2 2 | | 1 2 1 | +-------------------------------------------------------------------------------+ | 0 MIG 3g.0gb+gfx 32 1/1 0.00 No 20 2 2 | | 1 2 1 | +-------------------------------------------------------------------------------+ |
아무튼 이렇게 해야지 리셋도 된다.
| nvidia@nvidia:~$ sudo systemctl status nvargus-daemon ● nvargus-daemon.service - Argus daemon Loaded: loaded (/etc/systemd/system/nvargus-daemon.service; enabled; preset: enabled) Active: active (running) since Fri 2026-07-24 17:00:50 KST; 14min ago Main PID: 2555 (nvargus-daemon) Tasks: 3 (limit: 150257) Memory: 68.8M (peak: 108.8M) CPU: 285ms CGroup: /system.slice/nvargus-daemon.service └─2555 /usr/sbin/nvargus-daemon Jul 24 17:00:54 nvidia nvargus-daemon[2555]: CaptureService:stop: is requested -------------------------- Jul 24 17:00:55 nvidia nvargus-daemon[2555]: SCF: Error 0x00000008: Service not running (in src/services/power/PowerService.cpp, function stopS> Jul 24 17:00:55 nvidia nvargus-daemon[2555]: SCF: Error 0x00000008: (propagating from src/components/ServiceHost.cpp, function stopServicesInt> Jul 24 17:00:55 nvidia nvargus-daemon[2555]: SCF: Error 0x0000000f: (propagating from src/api/CameraDriver.cpp, function initialize(), line 18> Jul 24 17:00:55 nvidia nvargus-daemon[2555]: SCF: Error 0x00000008: Services are already stopped (in src/components/ServiceHost.cpp, function s> Jul 24 17:00:55 nvidia nvargus-daemon[2555]: SCF: Error 0x0000000f: (propagating from src/api/CameraDriver.cpp, function getCameraDriver(), li> Jul 24 17:00:55 nvidia nvargus-daemon[2555]: (Argus) Error 0x0000000f: (propagating from src/api/GlobalProcessState.cpp, function createCamera> Jul 24 17:00:55 nvidia nvargus-daemon[2555]: === gst-plugin-scanner2811)[2811]: CameraProvider failed to initialize Jul 24 17:00:55 nvidia nvargus-daemon[2555]: === gst-plugin-scanner2811)[2811]: Connection closed (FFFF949B88C0) Jul 24 17:00:55 nvidia nvargus-daemon[2555]: === gst-plugin-scanner2811)[2811]: Connection cleaned up (FFFF949B88C0) nvidia@nvidia:~$ sudo systemctl stop nvargus-daemon nvidia@nvidia:~$ sudo nvidia-smi --gpu-reset -i 0 GPU 00000000:01:00.0 was successfully reset. All done. |
일단 다 죽이고
| $ sudo nvidia-smi mig -dci && sudo nvidia-smi mig -dgi No GPU instances found: Not Found |
| config 1 - 0 config 2 - 32 config 3 - 78, 83 config 4 - 80, 83 config 5 - 81, 82 config 6 - 82 config 7 - 83 config 8 - 78 config 9 - 80 config 10- 81 |
| $ sudo nvidia-smi mig -cgi 80,83 Successfully created GPU instance ID 2 on GPU 0 using profile MIG 1g.0gb (ID 80) Successfully created GPU instance ID 1 on GPU 0 using profile MIG 2g.0gb+gfx (ID 83) nvidia@nvidia:~$ nvidia-smi Fri Jul 24 17:50:43 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 595.78 Driver Version: 595.78 CUDA Version: 13.2 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA Thor On | 00000000:01:00.0 Off | N/A | | N/A 42C N/A 4W / N/A | Not Supported | N/A Default | | | | Enabled | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | MIG devices: | +------------------+----------------------------------+-----------+-----------------------+ | GPU GI CI MIG | Shared Memory-Usage | Vol| Shared | | ID ID Dev | Shared BAR1-Usage | SM Unc| CE ENC DEC OFA JPG | | | | ECC| | |==================+==================================+===========+=======================| | No MIG devices found | +-----------------------------------------------------------------------------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ |
| nvidia@nvidia:~$ sudo nvidia-smi mig -cgi 80,83 -C Successfully created GPU instance ID 2 on GPU 0 using profile MIG 1g.0gb (ID 80) Successfully created compute instance ID 0 on GPU 0 GPU instance ID 2 using profile MIG 1g.0gb (ID 0) Successfully created GPU instance ID 1 on GPU 0 using profile MIG 2g.0gb+gfx (ID 83) Successfully created compute instance ID 0 on GPU 0 GPU instance ID 1 using profile MIG 2g.0gb (ID 1) nvidia@nvidia:~$ nvidia-smi Fri Jul 24 17:53:35 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 595.78 Driver Version: 595.78 CUDA Version: 13.2 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA Thor On | 00000000:01:00.0 Off | N/A | | N/A 41C N/A 4W / N/A | Not Supported | N/A Default | | | | Enabled | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | MIG devices: | +------------------+----------------------------------+-----------+-----------------------+ | GPU GI CI MIG | Shared Memory-Usage | Vol| Shared | | ID ID Dev | Shared BAR1-Usage | SM Unc| CE ENC DEC OFA JPG | | | | ECC| | |==================+==================================+===========+=======================| | 0 1 0 0 | N/A | 12 0 | 1 1 1 0 1 | | | N/A | | | +------------------+----------------------------------+-----------+-----------------------+ | 0 2 0 1 | N/A | 6 0 | 1 1 1 0 1 | | | N/A | | | +------------------+----------------------------------+-----------+-----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ nvidia@nvidia:~$ nvidia-smi -L GPU 0: NVIDIA Thor (UUID: GPU-a7c66ad2-6dbb-0ab8-c1a2-37ba6dba3600) MIG 2g.0gb Device 0: (UUID: MIG-031bd8db-02a6-5420-968d-7fcdf907f7e4) MIG 1g.0gb Device 1: (UUID: MIG-60591740-f26d-525b-ad5a-5f5ba115bc71) |

+
2026.07.25
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회사에 굴러 다니고 있어서 전기 먹여 봄
일단 blackwell 기반이니까 50 시리즈와 동급이란거구만
[링크 : https://www.nvidia.com/ko-kr/autonomous-machines/embedded-systems/jetson-thor/]
와우 금액 미쳤...
판매가 (VAT 별도/포함)
8,750,000원 (9,625,000원)
음.. 소비전력 안보이고, 메모리 사용량 미지원인가?

메모리 128GB
그나저나 내부적으로 말이 오락가락 했나 dmidecode 에서는 AGX Thor 라고 나온다.
| nvidia@localhost:~$ uname -a Linux localhost.localdomain 6.8.12-tegra #1 SMP PREEMPT Tue Dec 30 15:40:41 PST 2025 aarch64 aarch64 aarch64 GNU/Linux nvidia@localhost:~$ free -h total used free shared buff/cache available Mem: 122Gi 4.4Gi 117Gi 25Mi 2.2Gi 118Gi Swap: 2.0Gi 0B 2.0Gi nvidia@localhost:~$ cat /proc/meminfo MemTotal: 128790212 kB MemFree: 122909432 kB MemAvailable: 124174080 kB Buffers: 75332 kB Cached: 2157868 kB SwapCached: 0 kB Active: 488036 kB Inactive: 2835216 kB Active(anon): 7456 kB Inactive(anon): 1136416 kB Active(file): 480580 kB Inactive(file): 1698800 kB Unevictable: 27380 kB Mlocked: 16 kB SwapTotal: 2097148 kB SwapFree: 2097148 kB Dirty: 214136 kB Writeback: 0 kB AnonPages: 1111168 kB Mapped: 662168 kB Shmem: 26448 kB KReclaimable: 115036 kB Slab: 331556 kB SReclaimable: 115036 kB SUnreclaim: 216520 kB KernelStack: 16736 kB PageTables: 27972 kB SecPageTables: 0 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 66492252 kB Committed_AS: 7415448 kB VmallocTotal: 133141626880 kB VmallocUsed: 111644 kB VmallocChunk: 0 kB Percpu: 9688 kB HardwareCorrupted: 0 kB AnonHugePages: 161792 kB ShmemHugePages: 0 kB ShmemPmdMapped: 0 kB FileHugePages: 0 kB FilePmdMapped: 0 kB CmaTotal: 524288 kB CmaFree: 484248 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB Hugetlb: 0 kB nvidia@localhost:~$ cat /proc/cpuinfo processor : 0 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 1 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 2 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 3 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 4 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 5 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 6 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 7 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 8 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 9 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 10 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 11 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 12 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 processor : 13 BogoMIPS : 2000.00 Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop sha3 sm3 sm4 asimddp sha512 sve asimdfhm dit uscat ilrcpc flagm ssbs sb paca pacg dcpodp sve2 sveaes svepmull svebitperm svesha3 svesm4 flagm2 frint svei8mm svebf16 i8mm bf16 dgh bti ecv afp wfxt CPU implementer : 0x41 CPU architecture: 8 CPU variant : 0x0 CPU part : 0xd83 CPU revision : 0 $ sudo dmidecode # dmidecode 3.5 Getting SMBIOS data from sysfs. SMBIOS 3.6.0 present. # SMBIOS implementations newer than version 3.5.0 are not # fully supported by this version of dmidecode. Table at 0x1FBB130000. Handle 0x0000, DMI type 0, 26 bytes BIOS Information Vendor: EDK II Version: 38.4.0-gcid-43443517 Release Date: 12/30/2025 ROM Size: 0 MB Characteristics: PCI is supported PNP is supported BIOS is upgradeable BIOS shadowing is allowed Boot from CD is supported Selectable boot is supported ACPI is supported Targeted content distribution is supported UEFI is supported BIOS Revision: 0.0 Firmware Revision: 0.0 Handle 0x0001, DMI type 1, 27 bytes System Information Manufacturer: NVIDIA Product Name: NVIDIA Jetson AGX Thor Developer Kit Version: Not Specified Serial Number: 1423525040774 UUID: 5ecc6819-51f8-517e-b26f-0f0163b2c9ab Wake-up Type: Power Switch SKU Number: Unknown Family: Unknown Handle 0x0002, DMI type 3, 25 bytes Chassis Information Manufacturer: NVIDIA Type: Other Lock: Not Present Version: Unknown Serial Number: Unknown Asset Tag: 699-13834-0008-400 H.1 Boot-up State: Unknown Power Supply State: Unknown Thermal State: Unknown Security Status: Unknown OEM Information: 0x00000000 Height: 1 U Number Of Power Cords: 1 Contained Elements: 0 SKU Number: Unknown Handle 0x0003, DMI type 2, 17 bytes Base Board Information Manufacturer: NVIDIA Product Name: Jetson Version: Not Specified Serial Number: 1423525040774 Asset Tag: 699-13834-0008-400 H.1 Features: Board is a hosting board Board is replaceable Location In Chassis: Unknown Chassis Handle: 0x0002 Type: Motherboard Contained Object Handles: 0 Handle 0x0004, DMI type 13, 22 bytes BIOS Language Information Language Description Format: Long Installable Languages: 1 en|US|iso8859-1 Currently Installed Language: en|US|iso8859-1 Handle 0x0005, DMI type 32, 11 bytes System Boot Information Status: No errors detected Handle 0x0006, DMI type 7, 27 bytes Cache Information Socket Designation: L1 Instruction Cache Configuration: Enabled, Not Socketed, Level 1 Operational Mode: Unknown Location: Unknown Installed Size: 896 kB Maximum Size: 896 kB Supported SRAM Types: Unknown Installed SRAM Type: Unknown Speed: Unknown Error Correction Type: Unknown System Type: Instruction Associativity: 4-way Set-associative Handle 0x0007, DMI type 7, 27 bytes Cache Information Socket Designation: L1 Data Cache Configuration: Enabled, Not Socketed, Level 1 Operational Mode: Unknown Location: Unknown Installed Size: 896 kB Maximum Size: 896 kB Supported SRAM Types: Unknown Installed SRAM Type: Unknown Speed: Unknown Error Correction Type: Unknown System Type: Data Associativity: 4-way Set-associative Handle 0x0008, DMI type 7, 27 bytes Cache Information Socket Designation: L2 Cache Configuration: Enabled, Not Socketed, Level 2 Operational Mode: Unknown Location: Unknown Installed Size: 14 MB Maximum Size: 14 MB Supported SRAM Types: Unknown Installed SRAM Type: Unknown Speed: Unknown Error Correction Type: Unknown System Type: Unified Associativity: 8-way Set-associative Handle 0x0009, DMI type 4, 50 bytes Processor Information Socket Designation: Not Specified Type: Central Processor Family: ARMv8 Manufacturer: NVIDIA ID: 64 02 6B 03 01 04 00 00 Signature: JEP-106 Bank 0x03 Manufacturer 0x6b, SoC ID 0x0264, SoC Revision 0x00000401 Version: Thor Voltage: Unknown External Clock: 1000 MHz Max Speed: 2601 MHz Current Speed: 2601 MHz Status: Populated, Enabled Upgrade: Unknown L1 Cache Handle: 0x0007 L2 Cache Handle: 0x0008 L3 Cache Handle: Not Provided Serial Number: Not Specified Asset Tag: Not Specified Part Number: Not Specified Core Count: 14 Core Enabled: 14 Thread Count: 14 Characteristics: 64-bit capable Multi-Core Execute Protection Enhanced Virtualization Arm64 SoC ID Handle 0x000A, DMI type 16, 23 bytes Physical Memory Array Location: System Board Or Motherboard Use: System Memory Error Correction Type: Single-bit ECC Maximum Capacity: 128 GB Error Information Handle: Not Provided Number Of Devices: 1 Handle 0x000B, DMI type 19, 31 bytes Memory Array Mapped Address Starting Address: 0x00080000000 Ending Address: 0x0207FFFFFFF Range Size: 128 GB Physical Array Handle: 0x000A Partition Width: 1 Handle 0xFEFF, DMI type 127, 4 bytes End Of Table |
| nvidia jetson agx thor dev kit 설치 - USB boot (0) | 2026.07.24 |
|---|---|
| nvidia MIG(multiple instance GPU) - thor (0) | 2026.07.24 |
| jetson nano + llama.cpp vulkan (0) | 2026.07.21 |
| jetson nano jtop (0) | 2026.07.20 |
| jetson nano 4GB / qwen3.5 0.8B (0) | 2026.07.20 |
can 찾아보게 된 이유가 OBD 통신에 쓴다고 해서 봤던거니 다시 기록!
[링크 : https://clemencyking.tistory.com/m/26]
7.29
https://www.instructables.com/Raspberry-Pi-Based-CAN-BUS-Reader/
| can 트랜시버 - SN65HVD230 (0) | 2026.08.20 |
|---|---|
| MCP2515 on rpi .. 2번째 (0) | 2026.07.24 |
| DeviceNet CAN (0) | 2025.04.01 |
| candump, cansend와 vcan (0) | 2025.02.19 |
| linux can 테스트(가상 CAN IF) (0) | 2025.02.18 |
전화해서 물어보고 링크를 찾음
usb uart 모드로 접속해서 auto read 활성화하고
usb hid 모드로 켜면 된다.
모드는 별거(?) 아니고
그냥 커넥터를 옮겨서 USB to Serial에 연결해서 ISReadPro 프로그램으로 auto read 모드 설정하고
HID keyBoard에 연결하면 된다고 하는데. 선 한번 끊어먹고 의기소침해져서 일단 hid 모드는 언젠가로 미뤄야지 ㅋㅋ

여기서 먼저 활성화 해주고

여기서 카드 종류 별로 활성화 하면되는데
가장 만만한건.. 125khz 처럼 작동하는 iso14443a - uid 모드가 아닐까 싶다.

[링크 : https://blog.naver.com/is_chjee/224318202281]
[링크 : https://blog.naver.com/is_chjee/224313352095]
+
따라해보는데 안되서 일단 귀찮아 패스
"IS-3400-V1.9A" 로 읽히는데 막상 auto read 하면 응답이 없는걸 봐서는 버전 영향을 받기도 하는 듯?
| iso/iec 14443-1/2/3/4 (0) | 2026.07.16 |
|---|---|
| mifare classic 1k - access control (0) | 2026.07.16 |
| MCT(Mifare classic Tool) 앱에서 사용하는 키 (0) | 2026.07.16 |
| Proxmark, mfoc, mfcuk (0) | 2026.07.15 |
| mifare classic 1k 구조 (0) | 2026.07.15 |
shift - alt - Z (show overlays)


ctrl - space (오른쪽 메뉴 숨겨짐 - maximize area)


ctrl - alt - space (창모드 전체화면 - focus mode)



window - new window 하고
새로운 창에서(오브젝트는 원래 창과 공유됨)
focus mode + overlay off 하면 가장 간단하게 구현이 가능할 듯 하다.
| blnder 포즈 바꾸면서 렌더하기 (0) | 2026.07.28 |
|---|---|
| blender weight paint (0) | 2026.07.28 |
| blender quarternion (0) | 2026.07.22 |
| blender ik (0) | 2026.07.15 |
| 블렌더 이동 / 회전 제한 (0) | 2026.07.15 |