THELOGICALINDIAN - The new Nvidiabeta disciplinarian amalgamation that allows for alarm anamnesis and voltage adjustments appear this anniversary and I anticipation it would be absorbing to see aloof how far we can advance the EVGA GTX 1070s Ethereum hashing now that we accept abounding ascendancy over the accouterments If you apprehend our aboriginal analysis of the GPU youll apperceive that the agenda stands on its own as a powerefficient allotment of accessories but aloof how far a little optimisation goes may abruptness you
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Testing Methodology
Miner Benchmarking is worlds abroad from your archetypal accouterments testing. Manufacturers, architectures and alike lath and acknowledgment designs can acquaint absurd about-face in how the activated accessory performs. As our ambition is to acquaint you on what you can apprehend from a accustomed mining bureaucracy should you accept to acquirement it, we accomplish abiding to accord anniversary GPU or ASIC a acceptable ambiance through optimisation, alike if that agency a few capricious may change card-to-card. We chose this access because in the absolute world, miners optimise heavily for their hardware, and it artlessly isn’t a one-testbed-fits all scenario. Here are the variables we beam and how we ascendancy for them.
What Changes:
OS
Drivers
Mining Software
Fan Speeds/Profiles
What Does Not:
Test Bed Hardware
Card Bios
Core/Memory Clock Speed
Benchmark Data Collection
With that out of the way, actuality is the arrangement advice on our EVGA Gaming SC ACX 3.0 GTX 1070 Benchmark:
CPU: i7-6700k @ 4.3 GHz
RAM:16 GB DDR4 2400
PSU: 700W 80 Titanium PSU
SSD: 120 GB Kingston SSD
GPU (Tested Component): EVGA Gaming SC ACX 3.0 GTX 1070
OS: Arch Linux, Kernel 4.7.0-1-ARCH (headless to advance GPU overhead)
Ethereum Client/Miner: C Implementation of Ethereum, adaptation 1.2.9, Protocol Adaptation 63
Driver: NVIDIA disciplinarian adaptation 370.23-linux-x64, CUDA 7.5
Case: Corsair 200R (We run the benchmarks in a bankrupt case to simulate less-than-ideal thermal altitude accepted to mining setups.)
390X Ethereum Mining Performance on a (Power) Budget
Our aftermost run put the 1070 hardly advanced of the banal 480 with a lower ability draw from the wall. After several avenues had been pursued to clasp every aftermost bit of Ethereum hashpower out of our EVGA analysis GPU, we came out with an optimized agreement that hashes at 32.4 MH/s, affairs 146 watts beneath load, and accepting up to a best of 63 degrees in out analysis bed case.
For reference, a 390X does about the aforementioned numbers while cartoon added than 350 Watts. Where efficiency’s anxious we’re attractive at an absolutely new alliance with the 1070. Here’s a attending at our testing runs at banal and optimized configuration:
The ambush to accepting it to this akin of achievement was stripping out the GUI. Without a window administrator or graphical back-end bottleneck up the compute chain of this beast, we could get a little crazy with our anamnesis overclock – we got the GDDR5 chips up to 9570 Mhz, put a bashful account on the amount clock, and undervolted until we hit the beginning of stability. After dialing the voltage aback up to article we were hardly added adequate with, we ran it through the gauntlet – And the after-effects accomplish it abundantly bright aloof how abundant access allowance this GPU has beneath the awning When it comes to Ethereum mining.
Our efforts yielded a 27 percent access in assortment ability with aloof a 6 percent access in thermal brand and a 4% ability draw increase. Not alone that, but the 1070’s ability brand comes bottomward about 18%, to aloof 4.6 Watts/MegaHash. This new advice makes the amount hypothesis of a 1070-based rig abundant added aggressive in the accepted market. Whether it becomes the best of the agglomeration is abundantly up to what we can clasp out of our added GPUs, but for now, the 1070 is attractive like a abundant stronger contender.
Questions about ETH mining or our methodology? Be abiding to leave them in the comments!
