KaspaMiner - A fast CPU/GPU miner for Kaspa KASKaspaMiner - A Kaspa high performance CPU miner.
GitHub: https://github.com/tmrlvi/kaspa-minerDiscord: https://discord.gg/kS3SK5F36RTelegram:
https://t.me/KaspaenglishInstallationDevfundThe devfund is a fund managed by the Kaspa community in order to fund Kaspa development
A miner that wants to mine higher percentage into the dev-fund can pass the following flags:
--devfund-precent=XX.YY to mine only XX.YY% of the blocks into the devfund.
This version automatically sets the devfund donation to the community designated address. Due to community decision, the minimum amount in the precompiled binaries is 2%.
From Sources: Installing via cargo install is not supported for the latest version.
The regular version is still available at
cargo install kaspa-miner
From Git SourcesIf you are looking to build from the repository (for debug / extension), note that the plugins are additional packages in the workspace.
To compile a specific package, you run the following command or any subset of it
git clone
[email protected]:tmrlvi/kaspa-miner.git
cd kaspa-miner
cargo build --release -p kaspa-miner -p kaspacuda -p kaspaopencl
And, the miner (and plugins) will be in targets/release.
You can replace the last line with
cargo build --release --all
From BinariesThe release page includes precompiled binaries for Linux, and Windows (for the GPU version).
Removing PluginsTo remove a plugin, you simply remove the corresponding dll/so for the directory of the miner.
libkaspacuda.so, libkaspacuda.dll: Cuda support for Kaspa-Miner
libkaspaopencl.so, libkaspaopencl.dll: OpenCL support for Kaspa-Miner
UsageTo start mining, you need to run kaspad and have an address to send the rewards to. Here is a guidance on how to run a full node and how to generate addresses:
https://github.com/kaspanet/docs/blob/main/Getting%20Started/Full%20Node%20Installation.mdTo start mining, you just need to run the following:./kaspa-miner --mining-address kaspa:XXXXX
This will run the miner on all the available GPU devcies.
USAGE: kaspa-miner [OPTIONS] --mining-address
OPTIONS: -a, --mining-address
The Kaspa address for the miner reward
--cuda-device Which CUDA GPUs to use [default: all]
--cuda-disable Disable cuda workers
--cuda-lock-core-clocks Lock core clocks eg: ,1200, [default: 0]
--cuda-lock-mem-clocks Lock mem clocks eg: ,810, [default: 0]
--cuda-no-blocking-sync Actively wait for result. Higher CPU usage, but less red blocks. Can have lower workload.
--cuda-power-limits Lock power limits eg: ,150, [default: 0]
--cuda-workload Ratio of nonces to GPU possible parrallel run [default: 64]
--cuda-workload-absolute The values given by workload are not ratio, but absolute number of nonces [default: false]
-d, --debug Enable debug logging level
--devfund-percent The percentage of blocks to send to the devfund (minimum 2%) [default: 2]
--experimental-amd Uses SMID instructions in AMD. Miner will crash if instruction is not supported
-h, --help Print help information
--mine-when-not-synced Mine even when kaspad says it is not synced
--nonce-gen The random method used to generate nonces. Options: (i) xoshiro (ii) lean [default: lean]
--opencl-amd-disable Disables AMD mining (does not override opencl-enable)
--opencl-device Which OpenCL GPUs to use on a specific platform
--opencl-enable Enable opencl, and take all devices of the chosen platform
--opencl-no-amd-binary Disable fetching of precompiled AMD kernel (if exists)
--opencl-platform Which OpenCL platform to use (limited to one per executable)
--opencl-workload Ratio of nonces to GPU possible parrallel run in OpenCL [default: 512]
--opencl-workload-absolute The values given by workload are not ratio, but absolute number of nonces in OpenCL [default: false]
-p, --port Kaspad port [default: Mainnet = 16110, Testnet = 16211]
-s, --kaspad-address The IP of the kaspad instance [default: 127.0.0.1]
-t, --threads Amount of CPU miner threads to launch [default: 0]
--testnet Use testnet instead of mainnet [default: false] Donation AddressesElichai: kaspa:qzvqtx5gkvl3tc54up6r8pk5mhuft9rtr0lvn624w9mtv4eqm9rvc9zfdmmpu
HauntedCook: kaspa:qz4jdyu04hv4hpyy00pl6trzw4gllnhnwy62xattejv2vaj5r0p5quvns058f