This is the integration of the main client from qubic.li to RaveOs.
Qubminer are now successfully integrated into RaveOS.
No fees. Absolutely - FREE.
- The CPU where you run the Client must support AVX2 or AVX512 CPU instructions
cat /proc/cpuinfo | grep avx2(check ifavx2is in the result) - Cuda 12 drivers (535 )
upgrade 8926-2226(or newer) - RAM >= 16Go improves CPU it/s
- Higher RAM frequencies improves CPU it/s
- Do not overload your CPUs with threads, instead, aim to find the sweetpoint
Note
The defualt configuration is vor NVIDIA. To enable AMD GPU you need to add "trainer":{"gpuVersion":"AMD"} to Extra config arguments.
Important
AMD Version is currently only allowed in qubic.li CPU/GPU Mining (Fixed Reward 85%)
The startup script takes values from the flight sheet to complete the default configuration (appsettings_global.json).
There are a lot of necessary libraries for work into syslib folder
Each time the miner starts, the appsettings.json file is recreated
Important
For CPU you have to define which Version should be used. The cpuVersion propery can be used. Please refer to https://github.com/qubic-li/client/?tab=readme-ov-file#qli-trainer-options for a list of available versions. You can also find there all other available options.
Extra config arguments exemple:
"accessToken":"YOUROWNTOKEN"
"trainer":{"cpuThreads":4}
Sample Configuration for AMD GPU's CPU dual mining
"accessToken":"YOUROWNTOKEN"
"trainer":{"gpuVersion":"AMD","cpuThreads":4}
Extra config arguments exemple:
"accessToken":"YOUROWNTOKEN"
"trainer":{"cpu":"false"}
Sample Configuration for AMD GPU's
"accessToken":"YOUROWNTOKEN"
"trainer":{"cpu":"false","gpuVersion":"AMD"}
Extra config arguments exemple:
"accessToken":"YOUROWNTOKEN"
"trainer":{"cpu":"true","gpu":"false","cpuThreads":4}
Please use "Tunning Settings" from workers's dashboard to set global or specific OC:
Medium
3000 series nvidia-smi -lmc 7000 && nvidia-smi -lgc 1500
4000 series nvidia-smi -lmc 7000 && nvidia-smi -lgc 2400
High
3000 series nvidia-smi -lmc 7000 && nvidia-smi -lgc 1700
4000 series nvidia-smi -lmc 7000 && nvidia-smi -lgc 2900
| Setting | Description |
|---|---|
"accessToken": |
This is you personal JWT Token which you can obtain from the Control Panel at qubic.li |
"payoutId": |
This is the ID you want to get token payout for your found solutions. |
"hugePages":nnnn |
Depending on your environment you might want to enable huge pages. This can increase your iterations per second. The trainer will tell you what is the optimal setting when it detects a wrong value. The number depends on the number of threads: nb_threads * 52 (e.g., 16 * 52 = 832). If trainer is unstable please remove. |
"trainer": {} |
The trainer configuration options |
{
"cpu":false,
"cpuVersion":"AVX512",
"cpuThreads":16,
"cpuAffinity":"",
"cpuVariant":"",
"gpu":true,
"gpuVersion":"CUDA12",
"gpuCards":"",
"gpuVariant":""
}| Setting | Default Value | Description |
|---|---|---|
| *cpu | false | Enable CPU Training |
| *gpu | false | Enable GPU Training |
| cpuVersion | "GENERIC" | CPU Version to be used QLI Trainer Options |
| gpuVersion | null | GPU Version to be used QLI Trainer Options |
| cpuThreads | 1 | Number of Threads used for CPU training |
| gpuCards | null | Which GPU Cards should be used (see details below; available from client >=1.9.5 and runner >=105.3) |
| cpuAffinity | null | CPU Affinity for CPU training |
| cpuVariant | null | Which Variant of CPU trainer should be used |
| gpuVariant | null | Which Variant of GPU trainer should be used |
Note
The gpuCards property can be used to select gThreads. The default configuration is auto tune for all cards.
For each GPU you can use (comma separated):
-1 => auto tune
0 => disable GPU
>0 => number of gThreads to be used
e.g.:
0,-1,-1,-1,-1,-1=> GPU#1 disabled, #1-5 auto tuen
e.g.:0=> GPU#0 disabled, if there are more, all will be auto tuned
e.g.:512,256,256,256,256,512=> setgThreadto 512 on GPU#0 and GPU#5, 256 to the rest
The following table shows the available trainers.
| Type | Version Key (gpuVersion/cpuVersion) |
Description |
|---|---|---|
| GPU | CUDA12 |
CUDA Version for all newer/bigger GPU's (>4090) |
| GPU | AMD |
General AMD Version |
| CPU | GENERIC |
Generic x64 CPU trainer (no specific instructions needed) |
| CPU | AVX2 |
AVX2 x64 CPU trainer (AVX2 instructions needed) |
| CPU | AVX512 |
AVX512 x64 CPU trainer (AVX512 instructions needed) |
| CPU | SKYLAKE |
For specific Intel Lake processors (may not be available all the time) |
