Hardware resources monitoring

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) Jetson AGX Orin
• DeepStream Version 6.2
• JetPack Version (valid for Jetson only) 5.1

I have developed a Deepstream pipeline and I’m trying to allocate tasks to different hardware parts of the Orin (DLA,VIC) . i wanted to know if there’s any way to monitor the usage load/power of every hardware part of the device other than powerGUI . PowerGUI doesn’t give clear results to monitor and it doesn’t provide data for DLA power consumption/VIC.
And is there a way to view the whether a specific task is running on CUDA core or Tensor Core?

Hi @axnet

You can use tegrastats:

sudo tegrastats

You can also use jtop for a nicer UI. The tool is installed with pip (It needs superuser privileges to install):

sudo pip3 install -U jetson-stats

You will need to reboot the board after installation and then run:


It has several tabs with different information:

  1. ALL: Shows a summary of all the information that you can get with tegrastats but with a nicer UI
  2. GPU: Shows GPU usage and shared memory occupation
  3. CPU: Shows CPU usage over time for each core
  4. MEM: System memory occupation over time and other memory information
  5. ENG: The state of all the additional HW units (DLA, VIC, …)
  6. CTRL: Change the profile. operation mode, and run jetson clocks
  7. INFO: Hardware information and library versions
1 Like

Thank you @miguel.taylor !! This really helps.
Do you have any idea if i can capture the output results for a specific time the way it is in powerGUI. I want to record the avg usage of hardware parts when running a sample video in DS pipeline

You can export the tegrastats output to a logfile using the --logfile option. Sometimes, we employ a Python thread to capture the tegrastats output.

def run_tegrastats():
    Executes the tegrastats application as a subprocess.
    Updates the stats_current_output variable with the last line of tegrastats output.

        Error is triggered if the output can't be read
    logging.debug("Running tegrastats...")
    global stats_current_output
    global stats_active
    args = ["tegrastats"]
    popen = subprocess.Popen(args, shell=False, stdout=subprocess.PIPE)
    while stats_active:
            stats_current_output = popen.stdout.readline().decode('ascii')
        except Exception as exception:
            log_exception("Attribute access error",
                          "Invalid Tegrastats Output Error",

A different process then parses the output using regex. You could implement something like this to check the stats as part of your Python app.

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.