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nicehash-control-tool-104

We have updated our NiceHash Control tool pack for GeForce GTX 750 Ti miners for selling your hashrate on the NiceHash service with maximum profit. Our mining pack comes ready for mining rigs using GTX 750 Ti cards, with a ccMiner fork supporting Windows XP or newer and Compute 3.0 cards or newer. We have preset the hashrate for a single GTX 750 Ti card for the various algorithms, though this pack supports only X11, X13, X15 and Nist5 as we believe that there is not much point in adding the others as they are not very profitable or mine on Nvidia GPUs or on GPUs in general. You can use the tool on mining rigs with multiple cards or with different Nvidia GPUs as well, but then the automatic calculation for the expected profit for the various algorithms will be off.

In this update we have used the latest version 1.04 of the NiceHash Control tool. Also we have made a simple solution to include a backup pool in case NiceHash does have some problems, something that is useful as ccMiner does not officially support failover pools. Do note that the backup pool will kick in after a minute of the miner not being able to connect to NiceHash and it will mine there until the software switches the most profitable algorithm or if the backup pool connection fails for some reason.

What you need to do in order to use our GTX 750 Ti mining pack is to edit the config file and set your BTC address, edit the backup pool in the MINERS.bat file and then just start the AUTOSTART.BAT file to fire up the software. What is left is to monitor your earnings on the NiceHash website, and you can check the log.txt file for information what algorithm was switched to and when. If you like this tool and our GTX 750 Ti mining pack based around it, don’t forget to send a tip to the author of the NiceHash Control software.

To download the NiceHash Control 1.0.4 GTX 750 Ti ready to use pack for Windows…

palit-gtx-750-ti-gpu

Lately there is much talk about power efficiency of various mining algorithms and with the summer here people with GPU mining rigs are looking for algorithms that use less power and thus the video cards run cooler and quieter. We are starting a series of tests with GeForce GTX 750 Ti GPU first and then we are also going to move to other popular video cards for mining crypto currencies such as the Radeon R9 280X for example.

gtx-750-ti-idle-test-system-power-usage

On the photo above you can see the power usage of the GTX 750 Ti video card in idle as well as the idle power usage of the whole system we are using for testing; below you can find the specifications of the hardware. Note that one of the power meters measures only the power usage of the video card (the power meter is attached to the power line going to the card directly and all power going to it passes through the meter, so it does not take into account the PSU power efficiency) and the other one is for the whole system measured at the wall (the actual full power consumption) taking into account the efficiency of the power supply (extra power wasted as heat during the conversion).

The systems we are using for the tests include:
– Palit GeForce GTX 750 Ti StormX OC 2GB video card
– Intel i3-4130 dual-core CPU at 3.4 GHz
– Asus H81M-A Motherboard
– 2x 4GB A-DATA DDR3 1600 MHz Memory
– 1TB Seagate 7200 RPM Hard drive
– 500W Cooler Master Power Supply

gtx-750-ti-power-usage-algorithms

We have used ccMiner for our tests, the latest fork with Fresh algorithm support and we have measured the power usage of the GPU only as well as of the whole system with all of the supported algorithms by that particular version of ccMiner. Do note that if mining for Scrypt for example you will be getting higher power usage, but this is already pretty pointless to be done with GPUs with so many Scrypt ASIC miners already deployed. The results we’ve seen on the GTX 750 Ti are pretty interesting; it seems that the most power efficient algorithms are Fugue256 and HEFTY1 with the new Fresh algorithm following close by with the same power usage as Qubit. The worst performing crypto algorithms on GTX 750 Ti are the Groestl-based ones and the X-ones are pretty much in the middle. Do note however that these are the results measured on GTX 750 Ti, the situation with AMD with the same algorithms may differ significantly and we do plan to run some tests to check the situation there as well, so stay tuned for more very soon, probably tomorrow.

gtx-750-ti-power-usage-meter-2

Since there were some questions and people doubting our measurements, we have repeated the tests with another power meter connected to measure the power going only to the video card and the results are pretty much the same as with the previous meter in terms of power usage as you can see on the photo above. Do note that the Palit GeForce GTX 750 Ti video card that we have used for testing does not have an external PCI-E power connector available, so all of the power going to the video card is from the PCI-E slot. So in order to measure the exact power used by the video card we have used a powered PCI Express x1-x16 USB 3.0 Extender. This extender does not use USB 3.0 interface, just a USB 3.0 data cable for the transmission of data between the PCI-E slot on the motherboard and the video card (no power is transmitted over that cable). Instead the power provided to the video card all goes through the 4-pin Molex power connector on the extender’s board. Also do note that the power measured is coming directly from the power supply, so this measurement for the power usage of the GPU does not take into account the power efficiency of the power supply (loses of power during the conversion from 110V/220V to 12V) and depending on the power supply there will be about 10-20% of extra power lost as heat during the conversion. This power is measured by the second power meter that does measure the full system’s power consumption at the power socket however.

six-gpu-rig-gigabyte-geforce-gtx-750-ti

We have already published some interesting findings about the power usage of the new GeForce GTX 750 Ti graphics cards when used for crypto mining and recently we have built a 6-card GTX 750 Ti mining rig. We have taken some time to also measure the power usage of the individual cards as well as the total power usage of the whole system in order to give you some additional details about what you can expect in terms of power consumption from such a mining rig. We have used Gigabyte GeForce GTX 750 Ti video cards (N75TOC-2GI) that do have an external onboard PCI-E power connector and we started by measuring the total power that goes to a single video card both trough the PCI-E slot as well as through the external PCI-E power connector with the help of a watt meter that is attached directly to the power lines going to the video card (using a powered extender).

gtx-750-ti-power-usage-pci-e-power

As you can see on the photo the total power used by the video card is about 31W (with the card running at +135 MHz for the GPU and + 610 MHz for the video memory). Note that this power measurement is on the 12V line from the PSU going to the video card, so it does not take into account the power efficiency of the power supply and as a result the total power used by the video card from the mains will be higher by something like 15-20% (depending on the PSU). Note that we have used a powered PCI-E extender with USB 3.0 cable for the data lanes. This extender takes all the power provided to the PCI-E slot of the video card through a 4-pin molex connector and supplies both the 12V and the 3.3V power that the card uses drawing only power from the 12V line (there is a voltage regulator to output 3.3V from the 12V input on the extender’s board). So what the wat tmeter shows is the total power going from the PSU to the video card and in the case of the Gigabyte GTX 750 Ti it was 31W. Again the total power usage from the mains will be higher as this measurement does not take into account the power efficiency when converting 220V/110V to 12V.

gtx-750-ti-power-usage-5-6-cards

So what is the situation with the total power usage per GTX 750 Ti video card from the mains? The easiest way to check that is to measure using a watt meter connected between a power socket and the power supply of the computer the total power consumption of the system with 6 cards and then disconnect one card and to measure again. The difference we got using this method was about 79W, though this is not for the video card only as it also affects a bit the overall power consumption of the whole system. Also note that the measured 374 Watt for the 5-card and 453 Watts with the 6-card setup are with the video cards overclocked to +135 MHz/+610 MHz. The results we’ve got with the cards running at the stock frequency were 367W with 5-cards and 432W with 6 cards or a 65W difference per card (total power used from the mains). This difference of 14 watts between stock and overclocked frequencies brings roughly about 40 KHS more in terms of hashrate for Scrypt mining (per card). Have in mind that our power supply used had an efficiency rating of about 80-85%, so this means that 15-20% of the total power used at the mains is actually wasted in the conversion between 220V/110V and 12V.

Another interesting thing that we have noticed while testing the power usage and overclocking capabilities of the 6-card GeForce GTX 750 Ti mining rig was the total power consumption that we got for the system with the power target limit changed from the standard setting of 38.5W to the 65.5W. The watt meter showed an increase of power from the 453W with the 38.5W power target limit to 556W with the 65.5W power limit – about 100W increase with the same operating frequencies with a slight increase in performance of about 90 KHS total from the 6 cards or roughly a bit over 1W per KHS and in our opinion this is not worth the extra increase in power usage, so raising the power limit may not always be a good idea!


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