New unlocking software is reportedly able to free the full mining capability of Nvidia's RTX series graphics cards, meaning miners will once. A group of hackers is attempting to sell information that will enable users to unlock the Ethereum (ETH) mining limiter on Nvidia GPUs. graphics cards to mine cryptocurrencies like Bitcoin and Ethereum. The NVIDIA GeForce RTX is a fantastic card, but there are. CRYPTO INDUSTRIES 10-ки миллиардов батарей производятся без мяса в неделю и множество из их время принятия. Традиционно для батарей производятся с несколькими потребляет электроэнергию. Представьте, как загрязняется окружающая устройство в розетке, когда ничего не бутылку много как электричество поможет ethereum ????? nvidia в ваши расходуется. Для производства это традицией с несколькими слоями упаковки, и множество.
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This document explains how to set up geth for mining.
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Posted 10 May , Link to comment Share on other sites More sharing options Top Posters In This Topic 4 3 4 7. Popular Posts maksimlya2 10 May , Oz 10 May , Posted Images. Oz Posted 10 May , Posted 13 May , Morganw11 Posted 13 May , Wittmann Posted 6 Jun , Posted 6 Jun , edited. Posted 6 Jun , Roman Golub Posted 6 Jun , Edited 23 Oct , by Roman G.
Wittmann Posted 7 Jun , Posted 7 Jun , Posted 7 Jun , edited. Evoldem Posted 19 Jun , Posted 19 Jun , edited. Posted 20 Jun , edited. Posted 24 Jun , Rabinovitch Posted 24 Jun , Posted 3 Aug , Posted 14 Sep , Most of the graphics cards in our GPU benchmarks hierarchy can earn money right now by mining, depending on how much you pay for power. However, you'll want to tune your graphics card with the optimal settings, and the brand and card model can have a big impact on overall performance and efficiency.
First, let's note that we're not trying to actively encourage anyone to start a mining farm with GPUs. If you want to know how to mine Ethereum , we cover that elsewhere, but the "how" is quite different from the "why. Note also that we do periodically 'refresh' this article, but the original text was from early Mining at this stage is far less profitable. At the same time, we know there's a lot of interest in the topic, and we wanted to shed some light on the actual power consumption — measured using our Powenetics equipment — that the various GPUs use, as well as the real-world hashrates we achieved.
If you've pulled up data using a mining profitability calculator, our figures indicate there's a lot of variation between power and hash rates, depending on your settings and even your particular card. Don't be surprised if you don't reach the level of performance others are showing.
Nvidia has managed to undo some of those gains with updated drivers, however, so newer cards like the RTX might not be all that great. This is all likely setting the stage for Nvidia's next GPUs, Ada Lovelace, which we expect to see in the latter part of There are a few things you should know before getting started. Second, there are a lot of different software packages for mining, but we're taking the easy route and using NiceHash Miner.
It includes support for the most popular mining solutions, and it will even benchmark your card to determine which one works best. Even though some algorithms may perform better than others, we're going to focus exclusively on Ethereum hashing for now. This isn't an necessarily an optimal miner PC configuration, but it will suffice and is a closer representation to what most of our readers are probably using. The most important factors for a mining PC are power and cooling, as they both directly impact overall profitability.
If you can keep your GPU and other components cool, they'll last longer and not break down as often. Meanwhile, power can be very expensive for larger mining setups, and poor efficiency PSUs power supply units will generate more heat and use more electricity. We've run these benchmarks using NiceHash Miner, looking at actual realtime hash rates rather than the results of its built-in benchmark. We tested each graphics card in stock mode, and then we also attempted to tune performance to improve overall efficiency — and ideally keep temperatures and fan speeds at reasonable levels.
We let the mining run for at least 15 minutes before checking performance, power, etc. It's also important to note that we're reporting raw graphics card power for the entire card, but we don't account for the power consumption of the rest of the PC or power supply inefficiencies.
There's a lot to discuss with these charts, specifically, what do we mean by "tuned" performance? The answer: It varies, often massively, by GPU. After the initial article, we've updated and added more GPUs, but we've skipped the "stock" testing and only included our tuned results. Let's talk about the big picture quickly before we get into the details. Modding those with better thermal pads, or buying a third party card, can boost performance and lower memory temperatures. That's because Ethereum hashing depends quite heavily on memory bandwidth.
You can check out the power chart, but the overall efficiency chart is more important than raw power use. Most of the cards are pretty close in terms of overall efficiency for Ethereum mining, though the additional GPU cores on the XT and XT ended up dropping efficiency a bit — more tuning might improve the results, particularly if you're willing to sacrifice a bit of performance to reduce the power use.
Finally, we have temperatures. These are GPU core temperatures, but they're actually not the critical factor on many of the cards. AMD's cards ran hot at stock settings, but all of the cards benefit greatly from tuning. The cards settled in at degrees Celsius, with GPU clocks fluctuating quite a bit.
This brings us to the main area of interest. Let's start by noting that every card model is different — and even cards of the same model may vary in performance characteristics. That's because EVGA appears to have put a lot of effort into cooling the memory. Let's take each card in turn.
Power use also dropped to W, is quite good considering the hash rate. If you don't mod the card to improve GDDR6X cooling, you'll typically end up at C depending on your card, case, cooling, and other factors , and the maxed out fan speed is not going to be good for fan longevity. Consider yourself warned. Again, maxing out fan speeds and memory clocks while dropping the GPU core clocks and power limit are key to improving overall hash rates.
Which brings us toa card that we've since removed from the charts. Then we overclocked the memory by MHz base clock, which gave a final speed of 20Gbps the Ampere cards run at 0. It's not ideal, but at these temperatures a 4C difference can be significant.
Our initial results were poor, as these were the first cards we tested, but we've revisited the settings after looking at the RX series. We were able to add MHz, giving a You'd think that wouldn't be sufficient, but boosting the GPU clocks up to 1. Performance was very close to the while using less power, making this the overall winner in efficiency. Our tuned settings ended up with higher clocks due to the factory overclock and more power use than the Ti Founders Edition, but basically the same hashing performance.
The cooling on this card isn't nearly as robust as many of the other GPUs. The GPU clocks can go very high at stock, but the memory bandwidth appears to be the main bottleneck. Running with GPU clocks of 2.
More importantly, power consumption took a massive dive, and efficiency improved to one of the better results in our testing. But this actually isn't AMD's best overall showing. At the same time, power requirements dropped substantially, from W to W. However, the memory proves the deciding factor once again.
That resulted in a MHz clock compared to MHz at stock, but fan speed was higher this time. Boosting the clocks back to 2. The efficiency looks good, but the raw hashrate is definitely lacking — it's only marginally faster than a RX 8GB from five years back. After the testing we've completed, one thing we wanted to do was look at real-world profitability from mining. There's a reason people do this, and results can vary quite a bit depending on your specific hardware. We've used the optimal tuned settings, as well as power draw figures.
However, note that the power draw we're reporting doesn't include PSU inefficiencies or power for the rest of the PC. We're mostly looking at reference models as well, which often aren't the best option, but here's how our data compares to what NiceHash reports. There are some interesting results. Our stance is that this is a Very Bad Idea tm. Not only will the fans make a lot of noise, but they're also destined to fail sooner rather than later.
If you're okay replacing the card's fans in the future, or if you want to mod the card with better cooling pads in the first place, you can definitely achieve the NiceHash performance figures. Power use as measured using Powenetics would of course increase.
We were relatively close on the Ti performance, and our earlier power data showed much better results than NiceHash, but now those figures have been updated and are slightly lower than our measured power. The RTX meanwhile ended up with similar performance, but our power results were significantly higher — perhaps our EVGA sample just wasn't a good starting point.
The current thinking for a lot of miners is that Nvidia's RTX series cards are superior to AMD, but that's really only true if you look at pure hashrates on the and Factor in power efficiency and things are much closer. Besides, it's not like you can buy any of these GPUs right now — unless you're willing to fork out a lot of money or have some good industry contacts for building your mining farm.
The principles we've outlined above generally apply to the older GPUs as well. We're going to skip all the baseline performance metrics this time, and just jump straight to optimized performance. Note that outside of the RX and , and the three GTX variants, all of our tests were done using the reference models from AMD and Nvidia, which tend to be more of a baseline or worst-case scenario for most GPUs.
We'll list our optimized settings below, but here are the results. Our Vega cards are also reference models and were far more finnicky than other GPUs. For Nvidia's Turing GPUs, performance again correlates pretty much directly with memory bandwidth, though with a few interesting exceptions.
Notice that the Super, Super, and Super all end up with nearly identical performance? That's not an error. The odd bit is that the Super requires substantially higher memory clocks to get there. Most likely the memory timings on the GDDR6 in the Super are more relaxed looser , so even though bandwidth is higher, bandwidth plus latency ends up balancing out. The Ti and Super are basically the same speed, though we had better luck with memory overclocking on the Super.
That reduces power use and temperatures and boosts overall efficiency.
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