OC Nvidia GTX1070s in Ubuntu 16.04LTS for Ethereum mining

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:

• http://www.ckode.dk/linux/overclocking-nvidia-graphics-card-on-linux/
• https://devtalk.nvidia.com/default/topic/980313/force-gtx1080-performance-level-to-reduce-power-consumption-under-linux/

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

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

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 :)

Do the steps described here perform overclocking as discussed below:

• Redditor finds a solution to the Dell XPS 15 7590's GPU throttling issue
• How I stopped my XPS 15 7590 GPU from throttling

but on Linux?

To set up and overclock EVGA GeForce GTX 1070 SC GAMING Black Edition graphics cards on a Linux system, you can follow the steps outlined below. Additionally, I'll also explain how the Dell 405-AAZE PCI-E PERC H755N NVME 8GB Controller Card fits into the system.

1. Enable All GPUs and Configure Xorg
   First, run nvidia-xconfig --enable-all-gpus to enable all the GPUs on your system.
   Then, edit the /etc/X11/xorg.conf file to correctly set the Coolbits option, which allows you to overclock your GPUs and adjust fan settings.
   Example /etc/X11/xorg.conf:

bash
Copy code
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
2. Apply Overclocking Settings
Use the nvidia-settings command to apply overclocking settings. The example below applies a +1300 MHz memory clock offset and a +100 MHz GPU clock offset to both GPUs.
Commands to apply overclock:

bash
Copy code
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'
After applying these settings, you can confirm them by running nvidia-settings again, or by checking with nvidia-smi.
3. Verify Overclocking and System Status
Run nvidia-smi to verify the overclock settings and monitor GPU performance, temperature, and power usage.
Example output:

bash
Copy code
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 |
+-----------------------------------------------------------------------------+
4. Including Dell 405-AAZE PCI-E PERC H755N NVME 8GB Controller Card
The Dell 405-AAZE PCI-E PERC H755N NVME 8GB Controller Card is a high-performance RAID controller card designed for NVMe SSDs, utilizing PCIe Gen4 with 16 lanes. This card provides fast NVMe storage management, featuring 8GB of NV cache to enhance data processing speed and reliability.

When integrated into the same system, it ensures that your data storage solutions are robust and fast, complementing the computational power provided by your overclocked GPUs. This is particularly useful in data-intensive tasks such as mining, AI workloads, or rendering.

The presence of this RAID controller will ensure that your NVMe SSDs perform optimally, reducing latency and maximizing throughput, which is crucial for maintaining system stability and performance during intensive tasks.

References
Overclocking NVIDIA Graphics Cards on Linux
NVIDIA Developer Forum

Hi all, amazed to see so many are keeping this alive. Enjoy!