Cudaminer Guide for Nvidia GPUs

Cudaminer Guide for Nvidia GPUs

Cudaminer Guide for Nvidia GPUs


Nvidia cards gained massive hashrate increase from the latest Cudaminer release (18 December 2013).


CUDA Core is the term Nvidia uses to call the shaders in its GPUs. The Cudaminer is designed specifically for Nvidia GPU mining with Cuda accelerated mining application for Litecoin and Scrypt based altcoins. There would be a noticeable speed increase compared to OpenCL based miners.



1. Download


2. Check your GPU

  • Before going into the configuration, you would want to know which GPU that you have, so that you will find out the compute version that it is using. If you are not sure, you can install GPU-Z to find out.
  • Also make sure that you have the latest drivers installed for your Nvidia GPU. You can check this out at Nvidia’s download section.


3. Compute version

From your Nvidia GPU model, identify the compute version that the card is using, so that you would know which kernel prefix is suitable.

  • Compute 1.0

G80, G92, G92b, G94, G94b
GeForce GT 420*, GeForce 8800 Ultra, GeForce 8800 GTX, GeForce GT 340*, GeForce GT 330*, GeForce GT 320*, GeForce 315*, GeForce 310*, GeForce 9800 GT, GeForce 9600 GT, GeForce 9400GT, Quadro FX 5600, Quadro FX 4600, Quadro Plex 2100 S4, Tesla C870, Tesla D870, Tesla S870

  • Compute 1.1

G86, G84, G98, G96, G96b, G94, G94b, G92, G92b
GeForce G110M, GeForce 9300M GS, GeForce 9200M GS, GeForce 9100M G, GeForce 8400M GT, GeForce G105M, Quadro FX 4700 X2, Quadro FX 3700, Quadro FX 1800, Quadro FX 1700, Quadro FX 580, Quadro FX 570, Quadro FX 470, Quadro FX 380, Quadro FX 370, Quadro FX 370 Low Profile, Quadro NVS 450, Quadro NVS 420, Quadro NVS 290, Quadro NVS 295, Quadro Plex 2100 D4, Quadro FX 3800M, Quadro FX 3700M, Quadro FX 3600M, Quadro FX 2800M, Quadro FX 2700M, Quadro FX 1700M, Quadro FX 1600M, Quadro FX 770M, Quadro FX 570M, Quadro FX 370M, Quadro FX 360M, Quadro NVS 320M, Quadro NVS 160M, Quadro NVS 150M, Quadro NVS 140M, Quadro NVS 135M, Quadro NVS 130M, Quadro NVS 450, Quadro NVS 420, Quadro NVS 295

  • Compute 1.2

GT218, GT216, GT215

GeForce GT 240, GeForce GT 220*, GeForce 210*, GeForce GTS 360M, GeForce GTS 350M, GeForce GT 335M, GeForce GT 330M, GeForce GT 325M, GeForce GT 240M, GeForce G210M, GeForce 310M, GeForce 305M, Quadro FX 380 Low Profile, NVIDIA NVS 300, Quadro FX 1800M, Quadro FX 880M, Quadro FX 380M, NVIDIA NVS 300, NVS 5100M, NVS 3100M, NVS 2100M

  • Compute 1.3

GT200, GT200b

GeForce GTX 280, GeForce GTX 275, GeForce GTX 260, Quadro FX 5800, Quadro FX 4800, Quadro FX 4800 for Mac, Quadro FX 3800, Quadro CX, Quadro Plex 2200 D2, Tesla C1060, Tesla S1070, Tesla M1060

  • Compute 2.0

GF100, GF110

GeForce GTX 590, GeForce GTX 580, GeForce GTX 570, GeForce GTX 480, GeForce GTX 470, GeForce GTX 465, GeForce GTX 480M, Quadro 6000, Quadro 5000, Quadro 4000, Quadro 4000 for Mac, Quadro Plex 7000, Quadro 5010M, Quadro 5000M, Tesla C2075, Tesla C2050/C2070, Tesla M2050/M2070/M2075/M2090

  • Compute 2.1

GF104, GF106 GF108,GF114, GF116, GF119

GeForce GTX 560 Ti, GeForce GTX 550 Ti, GeForce GTX 460, GeForce GTS 450, GeForce GTS 450*, GeForce GT 640 (GDDR3), GeForce GT 630, GeForce GT 620, GeForce GT 610, GeForce GT 520, GeForce GT 440, GeForce GT 440*, GeForce GT 430, GeForce GT 430*, GeForce GTX 675M, GeForce GTX 670M, GeForce GT 635M, GeForce GT 630M, GeForce GT 625M, GeForce GT 720M, GeForce GT 620M, GeForce 710M, GeForce 610M, GeForce GTX 580M, GeForce GTX 570M, GeForce GTX 560M, GeForce GT 555M, GeForce GT 550M, GeForce GT 540M, GeForce GT 525M, GeForce GT 520MX, GeForce GT 520M, GeForce GTX 485M, GeForce GTX 470M, GeForce GTX 460M, GeForce GT 445M, GeForce GT 435M, GeForce GT 420M, GeForce GT 415M, GeForce 710M, GeForce 410M, Quadro 2000, Quadro 2000D, Quadro 600, Quadro 410, Quadro 4000M, Quadro 3000M, Quadro 2000M, Quadro 1000M, NVS 5400M, NVS 5200M, NVS 4200M

  • Compute 3.0

GK104, GK106, GK107

GeForce GTX 770, GeForce GTX 760, GeForce GTX 690, GeForce GTX 680, GeForce GTX 670, GeForce GTX 660 Ti, GeForce GTX 660, GeForce GTX 650 Ti BOOST, GeForce GTX 650 Ti, GeForce GTX 650, GeForce GTX 780M, GeForce GTX 770M, GeForce GTX 765M, GeForce GTX 760M, GeForce GTX 680MX, GeForce GTX 680M, GeForce GTX 675MX, GeForce GTX 670MX, GeForce GTX 660M, GeForce GT 750M, GeForce GT 650M, GeForce GT 745M, GeForce GT 645M, GeForce GT 740M, GeForce GT 730M, GeForce GT 640M, GeForce GT 640M LE, GeForce GT 735M, GeForce GT 730M, Quadro K5000, Quadro K4000, Quadro K2000, Quadro K2000D, Quadro K600, Quadro K500M, Tesla K10

  • Compute 3.5

GK110, GK208

GeForce GTX TITAN, GeForce GTX 780, GeForce GT 640 (GDDR5), Quadro K6000, Tesla K20

* – OEM-only products


CUDA kernels do the computation. Which one we select and in which configuration it is run greatly affects performance. CUDA kernel launch configurations are given as a character string, e.g. F16x2

prefix blocks x warps


Available kernel prefixes are:

  • L – Legacy cards (Compute 1.x)
  • F – Fermi cards (Compute 2.x)
  • S – Kepler cards (currently compiled for Compute 1.2) – formerly best for Kepler
  • K – Kepler cards (Compute 3.0) – based on Dave Andersen’s work. Now best for Kepler.
  • T – Titan, GTX 780 and GK208 based cards (Compute 3.5)
  • X – Experimental kernel. Currently requires Compute 3.5



  • L27x3 is a launch configuration that works well on GTX 260
  • F28x4 is a launch configuration that works on Geforce GTX 460
  • K290x2 is a launch configuration that works on Geforce GTX 660Ti
  • T30x16 is a launch configuration that works on GTX 780Ti.


4. Cudaminer configuration

Most of the time you can start mining without specifying any special options and let autotune select the best option for you like this:

cudaminer -o stratum+tcp:// -O [WORKERNAME]:[PASSWORD]


I will list the configuration for some Nvidia cards:

  • GeForce GTX 560 Ti

cudaminer -H 0 -i 1 -l F8x16 -C 1 -m 1 -o stratum+tcp:// -O [WORKERNAME]:[PASSWORD]

  • GeForce GTX 660

cudaminer -H 0 -i 1 -l K5x32 -C 1 -m 1 -o stratum+tcp:// -O [WORKERNAME]:[PASSWORD]

  • GeForce GTX 670

cudaminer -H 0 -i 1 -l K7x32 -C 1 -m 1 -o stratum+tcp:// -O [WORKERNAME]:[PASSWORD]

  • GeForce GTX 780

cudaminer -H 1 -i 1 -l T9x20 -C 2 or -H 1 -i 1 -l T12x32 -c 1 -o stratum+tcp:// -O [WORKERNAME]:[PASSWORD]


Update 2/3/2014 – Check out the latest update of cudaMiner with support for Maxwell architecture. This will be the biggest performance change on mining with Nvidia cards.

6 thoughts on “Cudaminer Guide for Nvidia GPUs”

  1. Thanks for the tips. How does one determine the best Kernel config for their card? The autotune function keeps giving me different kernel settings. Is there also a way to change the Kernel settings so the card works less? When I try to run two cards at once my laptop display drivers crash.

  2. what does -H- & – C represent . i am using GEFORCE 820M. How to control the temperature without compromising the hashrates?

  3. Anyone know or try to use this card ((( Nvidia Quadro FX 5800 4GB GDDR3 Dual ))) there is a issue getting them going so any help would be greatly appreciated

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