Posts Tagged ‘X16S

The latest update of the z-enemy 1.28 Nvidia GPU miner comes with more hashrate increasing optimizations in a number of the supported crypto algorithms such as BCD, HEX, X16R, X16S, X17 Bitcore, C11, Sonoa and others. You can expect to see performance improvements of up to 7-8% for Bitcoin Diamond, up to about 4-5% for HEX, up to 3-5% for X16R, X16S, X17, Bitcore, C11, Sonoa, etc… So if using any of the supported algorithms by the z-enemy miner at the moment you should definitely upgrade your version to 1.28 to get a bit of extra performance increase.

The latest z-enemy version 1.28 is available for CUDA 9.1, 9.2 and 10.0 for 64-bit Windows versions as well as CUDA 9.0, CUDA 9.1, CUDA 9.2 and CUDA 10 binaries for Linux (HiveOS, PiMP OS, EthOS & Ubuntu). Make sure that you have the respective recent video driver version installed for the CUDA version you want to use – 388+ for 9.1, 397+ for 9.2 and 411+ for CUDA 10.0, though 415+ is advised for the best performance. We remind you that z-enemy is a closed source miner available only as a binary release and it contains a 1% developer fee built-in to support further software development.

Windows Downloads:
Download z-enemy 1.28 Windows CUDA 9.1 64-bit
Download z-enemy 1.28 Windows CUDA 9.2 64-bit
Download z-enemy 1.28 Windows CUDA 10.0 64-bit

Linux Download (HiveOS, PiMP OS, EthOS & Ubuntu):
Download z-enemy 1.28 Linux CUDA 9.1
Download z-enemy 1.28 Linux CUDA 9.2
Download z-enemy 1.28 Linux CUDA 10.0

The latest CryptoDredge Nvidia GPU miner version 0.14.0 comes with support for the new Lyra2REv3 algorithm as well as improved performance for X22i used by the SUQA project, faster Skunkhash and X16-based algorithms. The new Lyra2REv3 algorithm is going to be used by Vertcoin (VTC) as a means to avoid the use of the recently made available ASICs for the currently used Lyra2REv2 algorithm. VTC is currently running on testnet with the new algorithm with mainnet fork to Lyra2REv3 coming soon if everything is fine with the testnet release and there are not problems.

With the latest release you can expect to get up to 10-12% performance boost for the X22i algorithm, up to 2-4% for Skunkhash and up to 5-7% performance increase for the X16-based algorithms, so definitely worth upgrading for the extra performance. Do note that the CryptoDredge miner supports only Nvidia GPUs and is a closed source software that comes with 1% built-in developer fee and with binaries available for both Windows and Linux (CUDA 9.1/9.2/10.0).

To download and try the latest release of the CryptoDredge 0.14.0 Nvidia GPU miner…

The latest update of the z-enemy 1.27 Nvidia GPU miner comes with some more performance optimizations in a number of the supported crypto algorithms with tweaks targeted at Nvidia GTX 10×0 GPUs. You can expect to see performance improvements of up to +3-4% for X16r and X16s as well as for HEX, up to +6-8% for Bitcoin Diamond (BCD), up to 1-3% on others like X17, Bitcore, C11, Sonoa, etc… on GTX 10×0 cards. So if using any of the supported algorithms by the z-enemy miner at the moment you should definitely upgrade your version to 1.27 to get a bit of extra performance boost.

The latest z-enemy version 1.27 is available for CUDA 9.1, 9.2 and 10.0 for 64-bit Windows versions as well as CUDA 9.0, CUDA 9.1, CUDA 9.2 and CUDA 10 binaries for Linux (HiveOS, PiMP OS, EthOS & Ubuntu). Make sure that you have the respective recent video driver version installed for the CUDA version you want to use – 388+ for 9.1, 397+ for 9.2 and 411+ for CUDA 10.0, though 415+ is advised for the best performance. We remind you that z-enemy is a closed source miner available only as a binary release and it contains a 1% developer fee built-in to support further software development.

Windows Downloads:
Download z-enemy 1.27 Windows CUDA 9.1 64-bit
Download z-enemy 1.27 Windows CUDA 9.2 64-bit
Download z-enemy 1.27 Windows CUDA 10.0 64-bit

Linux Download (HiveOS, PiMP OS, EthOS & Ubuntu):
Download z-enemy 1.27 Linux CUDA 9.1
Download z-enemy 1.27 Linux CUDA 9.2
Download z-enemy 1.27 Linux CUDA 10.0


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