WelcomeWelcome | FAQFAQ | DownloadsDownloads | WikiWiki

Author Topic: RAM shows a very small quantity of what RPI has  (Read 2129 times)

Offline mbivol10

  • Newbie
  • *
  • Posts: 39
RAM shows a very small quantity of what RPI has
« on: January 11, 2018, 02:34:54 PM »
I have a Raspberry Pi 3B, 1GB or RAM and I understand that the picore is loaded entirely in RAM but what's happening that it only shows 1/10th of what's available?

Offline Paul_123

  • Administrator
  • Hero Member
  • *****
  • Posts: 1267
Re: RAM shows a very small quantity of what RPI has
« Reply #1 on: January 11, 2018, 08:51:04 PM »
What is being reported in dmesg?


Offline bmarkus

  • Administrator
  • Hero Member
  • *****
  • Posts: 7183
    • My Community Forum
Re: RAM shows a very small quantity of what RPI has
« Reply #2 on: January 12, 2018, 01:29:53 AM »
Is it piCore or piCorePlayer? Which version? What is print out of the free command?
Béla
Ham Radio callsign: HA5DI

"Amateur Radio: The First Technology-Based Social Network."

Offline Greg Erskine

  • Sr. Member
  • ****
  • Posts: 404
Re: RAM shows a very small quantity of what RPI has
« Reply #3 on: January 12, 2018, 05:19:10 AM »
Hi bmarkus,

We don't use "dropbear" in piCorePlayer and squeezelite process is not being displayed, so I suspect piCore.

regards
Greg

Offline bmarkus

  • Administrator
  • Hero Member
  • *****
  • Posts: 7183
    • My Community Forum
Re: RAM shows a very small quantity of what RPI has
« Reply #4 on: January 13, 2018, 01:36:57 AM »
Thanks Greg. Lets see details of version, etc.
Béla
Ham Radio callsign: HA5DI

"Amateur Radio: The First Technology-Based Social Network."

Offline patrikg

  • Wiki Author
  • Hero Member
  • *****
  • Posts: 722
Re: RAM shows a very small quantity of what RPI has
« Reply #5 on: January 13, 2018, 05:48:39 AM »
You need to edit the config.txt file to get max ram memory, instead of using memory for the gpu. I think the lowest is 16mb like this gpu_mem=16. If you don't want to use the gpu, like some headless linux box.

Take a look at this page.

https://elinux.org/R-Pi_Troubleshooting#Choosing_the_right_ARM.2FGPU_memory_split