[{"data":1,"prerenderedAt":1122},["ShallowReactive",2],{"navigation_docs":3,"-blox-hardware-stress-test":161,"-blox-hardware-stress-test-surround":1117},[4,21,56,97,124],{"title":5,"path":6,"stem":7,"children":8,"icon":20},"Getting Started","\u002Fgetting-started","1.getting-started\u002F1.index",[9,12,16],{"title":10,"path":6,"stem":7,"icon":11},"Overview","i-lucide-book-open",{"title":13,"path":14,"stem":15},"Connect to your BLOX","\u002Fgetting-started\u002Fconnect-to-your-blox","1.getting-started\u002F2.connect-to-your-blox",{"title":17,"path":18,"stem":19},"IP cameras (IB-03x0)","\u002Fgetting-started\u002Fconfiguring-ip-cameras-ib-03x0","1.getting-started\u002F3.configuring-ip-cameras-ib-03x0","i-lucide-rocket",{"title":22,"path":23,"stem":24,"children":25,"icon":55},"How to","\u002Fhow-to","2.how-to\u002F1.index",[26,27,31,35,39,43,47,51],{"title":10,"path":23,"stem":24,"icon":11},{"title":28,"path":29,"stem":30},"Configure digital I\u002FO","\u002Fhow-to\u002Fconfigure-digital-io","2.how-to\u002F2.configure-digital-io",{"title":32,"path":33,"stem":34},"Connect digital I\u002FO","\u002Fhow-to\u002Fconnect-digital-io","2.how-to\u002F3.connect-digital-io",{"title":36,"path":37,"stem":38},"Connect to WiFi","\u002Fhow-to\u002Fconnect-to-wifi","2.how-to\u002F4.connect-to-wifi",{"title":40,"path":41,"stem":42},"Install a SIM card","\u002Fhow-to\u002Finstall-a-sim-card","2.how-to\u002F5.install-a-sim-card",{"title":44,"path":45,"stem":46},"Connect to LTE","\u002Fhow-to\u002Fconnect-to-lte","2.how-to\u002F6.connect-to-lte",{"title":48,"path":49,"stem":50},"GNSS location data","\u002Fhow-to\u002Fget-gnss-location-data","2.how-to\u002F7.get-gnss-location-data",{"title":52,"path":53,"stem":54},"Reset to 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Modules","\u002Fcomm-modules","5.comm-modules\u002F1.index",[129,130,134,144,148,152,156],{"title":10,"path":126,"stem":127,"icon":11},{"title":131,"path":132,"stem":133},"CB-0010","\u002Fcomm-modules\u002Fcb-0010","5.comm-modules\u002F2.cb-0010",{"title":135,"path":136,"stem":137,"children":138},"CB-0011","\u002Fcomm-modules\u002Fcb-0011","5.comm-modules\u002F3.cb-0011\u002F1.index",[139,140],{"title":10,"path":136,"stem":137},{"title":141,"path":142,"stem":143},"AP482","\u002Fcomm-modules\u002Fcb-0011\u002Fap482","5.comm-modules\u002F3.cb-0011\u002F2.ap482",{"title":145,"path":146,"stem":147},"CB-0100","\u002Fcomm-modules\u002Fcb-0100","5.comm-modules\u002F4.cb-0100",{"title":149,"path":150,"stem":151},"CB-0110","\u002Fcomm-modules\u002Fcb-0110","5.comm-modules\u002F5.cb-0110",{"title":153,"path":154,"stem":155},"CB-0200","\u002Fcomm-modules\u002Fcb-0200","5.comm-modules\u002F6.cb-0200",{"title":157,"path":158,"stem":159},"CB-0210","\u002Fcomm-modules\u002Fcb-0210","5.comm-modules\u002F7.cb-0210","i-lucide-radio",{"id":162,"title":69,"body":163,"description":1110,"extension":1111,"links":1112,"meta":1113,"navigation":1114,"path":70,"seo":1115,"stem":71,"__hash__":1116},"docs\u002F3.blox\u002F2.hardware\u002F2.stress-test.md",{"type":164,"value":165,"toc":1094},"minimark",[166,170,175,178,182,217,221,288,354,359,383,387,390,401,404,407,435,442,469,472,521,524,548,551,683,687,692,695,698,712,715,806,812,816,819,823,826,828,844,847,936,941,944,946,963,966,1056,1061,1065,1068,1073,1076,1081,1085,1090],[167,168,169],"p",{},"How to push the MODULE-X to the limits?",[171,172,174],"h2",{"id":173},"introduction","Introduction",[167,176,177],{},"The MODULE-X is passive cooled. This means that the device doesn’t have a fan to cool down. The device is cooled down with natural airflow flowing over the well designed heat sink. At least, that’s the theory 😅. In this chapter, we will explain how you can stress the MODULE-X to the limits and verify if the module withstand the temperature specs.",[171,179,181],{"id":180},"prerequisites","Prerequisites",[183,184,185],"ul",{},[186,187,188,189],"li",{},"You need one of the following modules:\n",[183,190,191,201,209],{},[186,192,193,200],{},[194,195,199],"a",{"href":196,"rel":197},"https:\u002F\u002Fwww.ai-blox.com\u002Fshop\u002F10-10-0001-mx1010-1-1",[198],"nofollow","IMX1010-1",", MODULE-X with Jetson Nano",[186,202,203,208],{},[194,204,207],{"href":205,"rel":206},"https:\u002F\u002Fwww.ai-blox.com\u002Fshop\u002F10-20-0001-mx1020-1-20",[198],"IMX1020-1",", MODULE-X with Jetson TX2 NX",[186,210,211,216],{},[194,212,215],{"href":213,"rel":214},"https:\u002F\u002Fwww.ai-blox.com\u002Fshop\u002F10-30-0001-mx1030-1-22",[198],"IMX1030-1",", MODULE-X with Jetson Xavier NX",[171,218,220],{"id":219},"install-tools","Install tools",[183,222,223,277],{},[186,224,225,226,230,231],{},"Install the ",[227,228,229],"code",{},"stress"," tool for CPU stressing:",[232,233,238],"pre",{"className":234,"code":235,"language":236,"meta":237,"style":237},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","$ sudo apt-get update\n$ sudo apt-get install -y stress\n","bash","",[227,239,240,259],{"__ignoreMap":237},[241,242,245,249,253,256],"span",{"class":243,"line":244},"line",1,[241,246,248],{"class":247},"sBMFI","$",[241,250,252],{"class":251},"sfazB"," sudo",[241,254,255],{"class":251}," apt-get",[241,257,258],{"class":251}," update\n",[241,260,262,264,266,268,271,274],{"class":243,"line":261},2,[241,263,248],{"class":247},[241,265,252],{"class":251},[241,267,255],{"class":251},[241,269,270],{"class":251}," install",[241,272,273],{"class":251}," -y",[241,275,276],{"class":251}," stress\n",[186,278,279,280],{},"Install CUDA necessary to stress the GPU, there are 2 options:",[183,281,282,285],{},[186,283,284],{},"through the NVIDIA software SDK",[186,286,287],{},"through deb installation package, this procedure is showed below for JetPack 4.6",[232,289,293],{"className":290,"code":291,"language":292,"meta":237,"style":237},"language-shell shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","$ wget https:\u002F\u002Fdeveloper.download.nvidia.com\u002Fcompute\u002Fcuda\u002Frepos\u002Fubuntu1804\u002Fsbsa\u002Fcuda-ubuntu1804.pin\n$ sudo mv cuda-ubuntu1804.pin \u002Fetc\u002Fapt\u002Fpreferences.d\u002Fcuda-repository-pin-600\n$ sudo apt-get update\nwget https:\u002F\u002Frepo.download.nvidia.com\u002Fjetson\u002Fcommon\u002Fpool\u002Fmain\u002Fc\u002Fcuda-toolkit-10-2\u002Fcuda-toolkit-10-2_10.2.460-1_arm64.deb\nsudo apt install .\u002Fcuda-toolkit-10-2_10.2.460-1_arm64.deb\n","shell",[227,294,295,305,320,331,340],{"__ignoreMap":237},[241,296,297,299,302],{"class":243,"line":244},[241,298,248],{"class":247},[241,300,301],{"class":251}," wget",[241,303,304],{"class":251}," https:\u002F\u002Fdeveloper.download.nvidia.com\u002Fcompute\u002Fcuda\u002Frepos\u002Fubuntu1804\u002Fsbsa\u002Fcuda-ubuntu1804.pin\n",[241,306,307,309,311,314,317],{"class":243,"line":261},[241,308,248],{"class":247},[241,310,252],{"class":251},[241,312,313],{"class":251}," mv",[241,315,316],{"class":251}," cuda-ubuntu1804.pin",[241,318,319],{"class":251}," \u002Fetc\u002Fapt\u002Fpreferences.d\u002Fcuda-repository-pin-600\n",[241,321,323,325,327,329],{"class":243,"line":322},3,[241,324,248],{"class":247},[241,326,252],{"class":251},[241,328,255],{"class":251},[241,330,258],{"class":251},[241,332,334,337],{"class":243,"line":333},4,[241,335,336],{"class":247},"wget",[241,338,339],{"class":251}," https:\u002F\u002Frepo.download.nvidia.com\u002Fjetson\u002Fcommon\u002Fpool\u002Fmain\u002Fc\u002Fcuda-toolkit-10-2\u002Fcuda-toolkit-10-2_10.2.460-1_arm64.deb\n",[241,341,343,346,349,351],{"class":243,"line":342},5,[241,344,345],{"class":247},"sudo",[241,347,348],{"class":251}," apt",[241,350,270],{"class":251},[241,352,353],{"class":251}," .\u002Fcuda-toolkit-10-2_10.2.460-1_arm64.deb\n",[183,355,356],{},[186,357,358],{},"Build the matrixMul sample app:",[232,360,362],{"className":290,"code":361,"language":292,"meta":237,"style":237},"$ cd \u002Fusr\u002Flocal\u002Fcuda\u002Fsamples\u002F0_Simple\u002FmatrixMul\n$ sudo make\n",[227,363,364,374],{"__ignoreMap":237},[241,365,366,368,371],{"class":243,"line":244},[241,367,248],{"class":247},[241,369,370],{"class":251}," cd",[241,372,373],{"class":251}," \u002Fusr\u002Flocal\u002Fcuda\u002Fsamples\u002F0_Simple\u002FmatrixMul\n",[241,375,376,378,380],{"class":243,"line":261},[241,377,248],{"class":247},[241,379,252],{"class":251},[241,381,382],{"class":251}," make\n",[171,384,386],{"id":385},"run-test","Run test",[167,388,389],{},"For getting the maximum performance out of the Jetson Modules, three things need to be done:",[183,391,392,395,398],{},[186,393,394],{},"Chose your power mode for the test",[186,396,397],{},"Run the GPU at maximum performance",[186,399,400],{},"Run the CPUs at maximum performance",[167,402,403],{},"It is good to have the test run for several hours on a constant room temperature. This allows the system to settle down at the maximum temperature.",[167,405,406],{},"Choosing the power mode depends of which module you are testing. An overview of the available power modes can be found in the Power Mode section of this page. cd",[232,408,410],{"className":234,"code":409,"language":236,"meta":237,"style":237},"$ sudo \u002Fusr\u002Fsbin\u002Fnvpmodel -m \u003Cx>\n",[227,411,412],{"__ignoreMap":237},[241,413,414,416,418,421,424,428,432],{"class":243,"line":244},[241,415,248],{"class":247},[241,417,252],{"class":251},[241,419,420],{"class":251}," \u002Fusr\u002Fsbin\u002Fnvpmodel",[241,422,423],{"class":251}," -m",[241,425,427],{"class":426},"sMK4o"," \u003C",[241,429,431],{"class":430},"sTEyZ","x",[241,433,434],{"class":426},">\n",[167,436,437,438,441],{},"Where ",[227,439,440],{},"\u003Cx>"," is the power mode. The maximum power modes are:",[183,443,444,450,456,462],{},[186,445,446,447],{},"Jetson Nano @10W: ",[227,448,449],{},"nvpmodel -m 0",[186,451,452,453],{},"Jetson TX2 NX @15W: ",[227,454,455],{},"nvpmodel -m 3",[186,457,458,459],{},"Jetson Xavier NX @15W: ",[227,460,461],{},"nvpmodel -m 2",[186,463,464,465,468],{},"Jetson Xavier NX @20W: ",[227,466,467],{},"nvpmodel -m 8"," only available with JetPack >=4.6",[167,470,471],{},"Run the GPU at max performance:",[232,473,475],{"className":234,"code":474,"language":236,"meta":237,"style":237},"$ while :; do \u002Fusr\u002Flocal\u002Fcuda\u002Fsamples\u002F0_Simple\u002FmatrixMul\u002FmatrixMul -wA=6400 -hA=640 -wB=640 - hB=6400; done\n",[227,476,477],{"__ignoreMap":237},[241,478,479,481,484,487,490,494,497,500,503,506,509,512,516,518],{"class":243,"line":244},[241,480,248],{"class":247},[241,482,483],{"class":251}," while",[241,485,486],{"class":251}," :",[241,488,489],{"class":426},";",[241,491,493],{"class":492},"s7zQu"," do",[241,495,496],{"class":247}," \u002Fusr\u002Flocal\u002Fcuda\u002Fsamples\u002F0_Simple\u002FmatrixMul\u002FmatrixMul",[241,498,499],{"class":251}," -wA=6400",[241,501,502],{"class":251}," -hA=640",[241,504,505],{"class":251}," -wB=640",[241,507,508],{"class":251}," -",[241,510,511],{"class":251}," hB=",[241,513,515],{"class":514},"sbssI","6400",[241,517,489],{"class":426},[241,519,520],{"class":492}," done\n",[167,522,523],{},"Run the CPUs at max performance:",[232,525,527],{"className":234,"code":526,"language":236,"meta":237,"style":237},"$ stress -c $(nproc)\n",[227,528,529],{"__ignoreMap":237},[241,530,531,533,536,539,542,545],{"class":243,"line":244},[241,532,248],{"class":247},[241,534,535],{"class":251}," stress",[241,537,538],{"class":251}," -c",[241,540,541],{"class":426}," $(",[241,543,544],{"class":247},"nproc",[241,546,547],{"class":426},")\n",[167,549,550],{},"Monitor the results:",[232,552,554],{"className":234,"code":553,"language":236,"meta":237,"style":237},"$ tegrastats\nRAM 1802\u002F7772MB (lfb 357x4MB) SWAP 0\u002F3886MB (cached 0MB) CPU [100%@1420,100%@1420,100%@1420,100%@1420,100%@1420,100%@1420] EMC_FREQ 0% GR3D_FREQ 99% AO@42.5C GPU@44.5C PMIC@100C AUX@43.5C CPU@44.5C thermal@44.25C VDD_IN 14703\u002F14683 VDD_CPU_GPU_CV 10874\u002F10893 VDD_SOC 1405\u002F1405\nRAM 1802\u002F7772MB (lfb 357x4MB) SWAP 0\u002F3886MB (cached 0MB) CPU [100%@1420,100%@1420,100%@1420,100%@1420,100%@1420,100%@1420] EMC_FREQ 0% GR3D_FREQ 99% AO@42.5C GPU@45C PMIC@100C AUX@43C CPU@44.5C thermal@43.9C VDD_IN 14703\u002F14690 VDD_CPU_GPU_CV 10874\u002F10887 VDD_SOC 1405\u002F1405\nRAM 1802\u002F7772MB (lfb 357x4MB) SWAP 0\u002F3886MB (cached 0MB) CPU [100%@1420,100%@1420,100%@1420,100%@1420,100%@1420,100%@1420] EMC_FREQ 0% GR3D_FREQ 99% AO@42.5C GPU@45C PMIC@100C AUX@43.5C CPU@45C thermal@44.05C VDD_IN 14664\u002F14683 VDD_CPU_GPU_CV 10913\u002F10893 VDD_SOC 1405\u002F1405\nRAM 1802\u002F7772MB (lfb 356x4MB) SWAP 0\u002F3886MB (cached 0MB) CPU [100%@1420,100%@1420,100%@1420,100%@1420,100%@1420,100%@1420] EMC_FREQ 0% GR3D_FREQ 99% AO@42.5C GPU@44.5C PMIC@100C AUX@43.5C CPU@45C thermal@44.4C VDD_IN 14664\u002F14679 VDD_CPU_GPU_CV 10913\u002F10897 VDD_SOC 1405\u002F140\n",[227,555,556,563,601,628,655],{"__ignoreMap":237},[241,557,558,560],{"class":243,"line":244},[241,559,248],{"class":247},[241,561,562],{"class":251}," tegrastats\n",[241,564,565,568,571,574,577,580,583,586,589,592,595,598],{"class":243,"line":261},[241,566,567],{"class":247},"RAM",[241,569,570],{"class":251}," 1802\u002F7772MB",[241,572,573],{"class":430}," (lfb ",[241,575,576],{"class":251},"357x4MB",[241,578,579],{"class":430},") SWAP 0\u002F3886MB (",[241,581,582],{"class":247},"cached",[241,584,585],{"class":251}," 0MB",[241,587,588],{"class":430},") CPU ",[241,590,591],{"class":426},"[",[241,593,594],{"class":430},"100%@1420,100%@1420,100%@1420,100%@1420,100%@1420,100%@1420",[241,596,597],{"class":426},"]",[241,599,600],{"class":430}," EMC_FREQ 0% GR3D_FREQ 99% AO@42.5C GPU@44.5C PMIC@100C AUX@43.5C CPU@44.5C thermal@44.25C VDD_IN 14703\u002F14683 VDD_CPU_GPU_CV 10874\u002F10893 VDD_SOC 1405\u002F1405\n",[241,602,603,605,607,609,611,613,615,617,619,621,623,625],{"class":243,"line":322},[241,604,567],{"class":247},[241,606,570],{"class":251},[241,608,573],{"class":430},[241,610,576],{"class":251},[241,612,579],{"class":430},[241,614,582],{"class":247},[241,616,585],{"class":251},[241,618,588],{"class":430},[241,620,591],{"class":426},[241,622,594],{"class":430},[241,624,597],{"class":426},[241,626,627],{"class":430}," EMC_FREQ 0% GR3D_FREQ 99% AO@42.5C GPU@45C PMIC@100C AUX@43C CPU@44.5C thermal@43.9C VDD_IN 14703\u002F14690 VDD_CPU_GPU_CV 10874\u002F10887 VDD_SOC 1405\u002F1405\n",[241,629,630,632,634,636,638,640,642,644,646,648,650,652],{"class":243,"line":333},[241,631,567],{"class":247},[241,633,570],{"class":251},[241,635,573],{"class":430},[241,637,576],{"class":251},[241,639,579],{"class":430},[241,641,582],{"class":247},[241,643,585],{"class":251},[241,645,588],{"class":430},[241,647,591],{"class":426},[241,649,594],{"class":430},[241,651,597],{"class":426},[241,653,654],{"class":430}," EMC_FREQ 0% GR3D_FREQ 99% AO@42.5C GPU@45C PMIC@100C AUX@43.5C CPU@45C thermal@44.05C VDD_IN 14664\u002F14683 VDD_CPU_GPU_CV 10913\u002F10893 VDD_SOC 1405\u002F1405\n",[241,656,657,659,661,663,666,668,670,672,674,676,678,680],{"class":243,"line":342},[241,658,567],{"class":247},[241,660,570],{"class":251},[241,662,573],{"class":430},[241,664,665],{"class":251},"356x4MB",[241,667,579],{"class":430},[241,669,582],{"class":247},[241,671,585],{"class":251},[241,673,588],{"class":430},[241,675,591],{"class":426},[241,677,594],{"class":430},[241,679,597],{"class":426},[241,681,682],{"class":430}," EMC_FREQ 0% GR3D_FREQ 99% AO@42.5C GPU@44.5C PMIC@100C AUX@43.5C CPU@45C thermal@44.4C VDD_IN 14664\u002F14679 VDD_CPU_GPU_CV 10913\u002F10897 VDD_SOC 1405\u002F140\n",[171,684,686],{"id":685},"results","Results",[688,689,691],"h3",{"id":690},"jetson-nano","Jetson Nano",[167,693,694],{},"Jetson Nano in 10W mode, room temperature 20°C.",[167,696,697],{},"Results:",[183,699,700,703,706,709],{},[186,701,702],{},"Total power consumption: 17,4W",[186,704,705],{},"CPU temp.: 48,0°C, max temp.: 97°C (delta: 49°)",[186,707,708],{},"GPU temp.: 46,0°C, max temp.: 97°C (delta: 51°C)",[186,710,711],{},"Max. heat sink temp.: 24,9°C",[167,713,714],{},"The max ambient temp. in this mode is: 65°C (20,0°C + 49,0° caped to 65°C)",[232,716,718],{"className":234,"code":717,"language":236,"meta":237,"style":237},"RAM 2020\u002F3964MB (lfb 19x4MB) SWAP 43\u002F1982MB (cached 1MB) CPU [100%@1479,100%@1479,100%@1479,100%@1479] EMC_FREQ 0% GR3D_FREQ 99% PLL@41.5C CPU@48C PMIC@100C GPU@63C AO@54.5C thermal@48.25C POM_5V_GPU 8949\u002F8742 POM_5V_IN 3227\u002F3086 POM_5V_CPU 3148\u002F3134\nRAM 2020\u002F3964MB (lfb 19x4MB) SWAP 43\u002F1982MB (cached 1MB) CPU [100%@1479,100%@1479,100%@1479,100%@1479] EMC_FREQ 0% GR3D_FREQ 83% PLL@42C CPU@48C PMIC@100C GPU@46C AO@53.5C thermal@48C POM_5V_GPU 8791\u002F8742 POM_5V_IN 3075\u002F3086 POM_5V_CPU 3109\u002F3134\nRAM 2020\u002F3964MB (lfb 19x4MB) SWAP 43\u002F1982MB (cached 1MB) CPU [100%@1479,100%@1479,100%@1479,100%@1479] EMC_FREQ 0% GR3D_FREQ 99% PLL@42C CPU@48C PMIC@100C GPU@46C AO@54C thermal@48C POM_5V_GPU 8633\u002F8742 POM_5V_IN 2956\u002F3086 POM_5V_CPU 3148\u002F3134\n",[227,719,720,752,779],{"__ignoreMap":237},[241,721,722,724,727,729,732,735,737,740,742,744,747,749],{"class":243,"line":244},[241,723,567],{"class":247},[241,725,726],{"class":251}," 2020\u002F3964MB",[241,728,573],{"class":430},[241,730,731],{"class":251},"19x4MB",[241,733,734],{"class":430},") SWAP 43\u002F1982MB (",[241,736,582],{"class":247},[241,738,739],{"class":251}," 1MB",[241,741,588],{"class":430},[241,743,591],{"class":426},[241,745,746],{"class":430},"100%@1479,100%@1479,100%@1479,100%@1479",[241,748,597],{"class":426},[241,750,751],{"class":430}," EMC_FREQ 0% GR3D_FREQ 99% PLL@41.5C CPU@48C PMIC@100C GPU@63C AO@54.5C thermal@48.25C POM_5V_GPU 8949\u002F8742 POM_5V_IN 3227\u002F3086 POM_5V_CPU 3148\u002F3134\n",[241,753,754,756,758,760,762,764,766,768,770,772,774,776],{"class":243,"line":261},[241,755,567],{"class":247},[241,757,726],{"class":251},[241,759,573],{"class":430},[241,761,731],{"class":251},[241,763,734],{"class":430},[241,765,582],{"class":247},[241,767,739],{"class":251},[241,769,588],{"class":430},[241,771,591],{"class":426},[241,773,746],{"class":430},[241,775,597],{"class":426},[241,777,778],{"class":430}," EMC_FREQ 0% GR3D_FREQ 83% PLL@42C CPU@48C PMIC@100C GPU@46C AO@53.5C thermal@48C POM_5V_GPU 8791\u002F8742 POM_5V_IN 3075\u002F3086 POM_5V_CPU 3109\u002F3134\n",[241,780,781,783,785,787,789,791,793,795,797,799,801,803],{"class":243,"line":322},[241,782,567],{"class":247},[241,784,726],{"class":251},[241,786,573],{"class":430},[241,788,731],{"class":251},[241,790,734],{"class":430},[241,792,582],{"class":247},[241,794,739],{"class":251},[241,796,588],{"class":430},[241,798,591],{"class":426},[241,800,746],{"class":430},[241,802,597],{"class":426},[241,804,805],{"class":430}," EMC_FREQ 0% GR3D_FREQ 99% PLL@42C CPU@48C PMIC@100C GPU@46C AO@54C thermal@48C POM_5V_GPU 8633\u002F8742 POM_5V_IN 2956\u002F3086 POM_5V_CPU 3148\u002F3134\n",[167,807,808],{},[809,810],"img",{"alt":237,"src":811},"\u002Fimages\u002Fblox\u002Fhardware\u002FNano10W.webp",[688,813,815],{"id":814},"jetson-tx2-nx","Jetson TX2 NX",[167,817,818],{},"T.B.D.",[688,820,822],{"id":821},"xavier-nx","Xavier NX",[167,824,825],{},"Jetson Xavier NX in 15W mode, room temperature 20°C.",[167,827,697],{},[183,829,830,832,835,838,841],{},[186,831,702],{},[186,833,834],{},"CPU temp.: 53,0°C, max temp.: 90,5°C (delta: 37,5°)",[186,836,837],{},"GPU temp.: 53,5°C, max temp.: 91,5°C (delta: 38,0°C)",[186,839,840],{},"AUX temp.: 51,0°C, max temp.: 90,0°C (delta: 39,0°C)",[186,842,843],{},"Max. heat sink temp.: 41,4°C",[167,845,846],{},"The max ambient temp. in this mode is: 57,5°C (20,0°C + 37,5°)",[232,848,850],{"className":234,"code":849,"language":236,"meta":237,"style":237},"RAM 1748\u002F7772MB (lfb 377x4MB) SWAP 0\u002F3886MB (cached 0MB) CPU [100%@1420,100%@1420,100%@1420,100%@1420,100%@1420,100%@1420] EMC_FREQ 0% GR3D_FREQ 99% AO@50.5C GPU@53C PMIC@100C AUX@51C CPU@53C thermal@52.35C VDD_IN 12221\u002F13950 VDD_CPU_GPU_CV 8812\u002F10241 VDD_SOC 1333\u002F1412\nRAM 1749\u002F7772MB (lfb 377x4MB) SWAP 0\u002F3886MB (cached 0MB) CPU [100%@1420,100%@1420,100%@1420,100%@1420,100%@1420,100%@1420] EMC_FREQ 0% GR3D_FREQ 99% AO@51C GPU@53.5C PMIC@100C AUX@51C CPU@53C 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