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OC Nvidia GTX1070s in Ubuntu 16.04LTS for Ethereum mining
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README.md

Following mining and findings performed on EVGA GeForce GTX 1070 SC GAMING Black Edition Graphics Card cards.

First run nvidia-xconfig --enable-all-gpus then set about editing the xorg.conf file to correctly set the Coolbits option.

# /etc/X11/xorg.conf
Section "Device"
    Identifier     "Device0"
    Driver         "nvidia"
    VendorName     "NVIDIA Corporation"
    BoardName      "GeForce GTX 1070"
    BusID          "PCI:1:0:0"
    Option         "Coolbits" "28"
EndSection

Section "Device"
    Identifier     "Device1"
    Driver         "nvidia"
    VendorName     "NVIDIA Corporation"
    BoardName      "GeForce GTX 1070"
    BusID          "PCI:2:0:0"
    Option         "Coolbits" "28"
EndSection

Let's now apply a very light OC to the cards,

skylake:~# nvidia-settings -c :0 -q gpus

2 GPUs on skylake:0

    [0] skylake:0[gpu:0] (GeForce GTX 1070)

      Has the following names:
        GPU-0
        GPU-08ba492c-xxxx

    [1] skylake:0[gpu:1] (GeForce GTX 1070)

      Has the following names:
        GPU-1
        GPU-16e218e7-xxxx

# Apply +1300 Mhz Mem clock offset, and +100 Mhz on GPU clock
# Found these were the most stable on my Dual EVGA SC Black 1070s.
nvidia-settings -c :0 -a '[gpu:0]/GPUMemoryTransferRateOffset[3]=1300'
nvidia-settings -c :0 -a '[gpu:1]/GPUMemoryTransferRateOffset[3]=1300'
nvidia-settings -c :0 -a '[gpu:0]/GPUGraphicsClockOffset[3]=100'
nvidia-settings -c :0 -a '[gpu:1]/GPUGraphicsClockOffset[3]=100'

To check if these have applied, your X11 server needs to be running and you'll get a confirmation

~⟫ nvidia-settings -c :0 -a '[gpu:0]/GPUMemoryTransferRateOffset[3]=1400'
Failed to connect to Mir: Failed to connect to server socket: No such file or directory
Unable to init server: Could not connect: Connection refused

  Attribute 'GPUMemoryTransferRateOffset' (skylake:0[gpu:0]) assigned value 1400.

Check the final config,

skylake:~# nvidia-smi
Sat Jun 17 03:31:57 2017
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.66                 Driver Version: 375.66                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1070    Off  | 0000:01:00.0      On |                  N/A |
| 60%   75C    P2   146W / 151W |   2553MiB /  8112MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
|   1  GeForce GTX 1070    Off  | 0000:02:00.0     Off |                  N/A |
| 38%   66C    P2   149W / 151W |   2198MiB /  8114MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|    0      1267    G   /usr/lib/xorg/Xorg                             184MiB |
|    0      3457    G   compiz                                         170MiB |
|    0      4956    C   ./ethdcrminer64                               2195MiB |
|    1      4956    C   ./ethdcrminer64                               2195MiB |
+-----------------------------------------------------------------------------+

References:

Raw
reduce-power-limit.sh
#!/bin/bash
echo "Run as sudo to lower power-limits."
echo ""
nvidia-smi -i 0 -pl 100
nvidia-smi -i 1 -pl 100
echo ""
echo ""
nvidia-smi
@stralex7
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stralex7 commented Mar 9, 2018

Got inspired by your post and created my own notes for 1070ti
https://gist.github.com/stralex7/4e86d738beeb6c5d06fd1f1651644609

@jmsjr
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jmsjr commented Mar 16, 2018

I am confused with GTX1070's Max Memory. According to my screenshot below ( ascii art really as I can't find an easy way to attach an image here :

PowerMizer Information ------------------------------------

 Adaptive Clocking       : Enabled
 Graphics Clock          : 1594 MHz
 Memory Transfer Rate    : 7604 MHz

 Power Source            : AC

 Current PCIe Link Width : x1
 Current PCIe Link Speed : 2.5 GT/s

 Performance Level: 2

Performance Levels ----------------------------------------

       |  Graphics Clock       |  Memory Transfer Rate
Level  |  Min        Max       |  Min        Max   
0      |  139 MHz    307 MHz   |  810 MHz    810 MHz
1      |  139 MHz    1911 MHz  |  1620 MHz   1620 MHz
2 *    |  215 MHz    1987 MHz  |  7604 MHz   7604 MHz
3      |  215 MHz    1987 MHz  |  8008 MHz   8008 MHz

The above is when there are no offsets applied to either GPU or Memory ( e.g. stock standard values ).
If I apply a memory offset of +450 MHz, the "Memory Transfer Rate" at the Performance level 2 goes up to 8054 MHz.

However, when I run nvidia-smi

$ nvidia-smi --format=csv --query-gpu=clocks.current.memory
clocks.current.memory [MHz]
4032 MHz
4032 MHz

... it shows my memory is only at 4032 MHz.

Thus, my questions are:

  1. Why is nvidia-smi only showing 4032 MHz ? Which tool is showing the correct answer ? nvidia-smi or nvidia-settings ( via X )
  2. Has anyone been able to set the performance level to '3' ( highest performance ) ? Even if I select "Max Performance" instead of "Auto / Adaptive ", it goes to level '3' .. but goes back to level '2' after a few seconds. When I start mining, it still stays at level '2'.
  3. Has anyone been able to set memory clock to 8008 MHz, which appears to be the maximum allowed ?
  4. Lastly, I read a lot of sites which states that P0 is the highest performance, but the nvidia-settings output is showing the other way around. Which one is it ?

@RyanGosden
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nvidia-settings -c :0 -a '[gpu:0]/GPUMemoryTransferRateOffset[3]=1300'
nvidia-settings -c :0 -a '[gpu:0]/GPUGraphicsClockOffset[3]=100'

When executing the above, I do not get any errors. Where can I check to see if these have been set?

Thanks

@hadbabits
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nvidia-settings -c :0 -a '[gpu:0]/GPUMemoryTransferRateOffset[3]=1300'
nvidia-settings -c :0 -a '[gpu:0]/GPUGraphicsClockOffset[3]=100'

When executing the above, I do not get any errors. Where can I check to see if these have been set?

I was also having this issue of the command not working with my GTX 1660, the key was the '3' in brackets: it's the performance level. If you open your Nvidia-Settings, got to the powermizer tab and check to see how many performance levels you have. For me that's 0-2, so that's why using the command with 3 doesn't work. Change it to the highest level, 2 in my case, and it should work :)

@sursu
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sursu commented Jun 17, 2020 •
edited

Do the steps described here perform overclocking as discussed below:

but on Linux?

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