Nvidia GeForce GTX 1080 Ti Crypto Mining Performance
The GeForce GTX – 1080 Ti is the current addition in Nvidia’s schedule of premium gaming GPUs, however right here we are much more curious about one more aspect for making use of these video clip cards – crypto mining. Tomorrow, March 10th, the sales of the brand-new Nvidia GeForce GTX 1080 Ti should begin valued at $ 699 USD, though originally there will be just Creators Edition models just with accessibility of non-reference styles expected to start showing to buy in April. The GeForce GTX 1080 Ti is based on GDDR5X memory clocked at 11 GHz, so the memory timings could not be the most effective for memory-based crypto formulas, but the major variety of CUDA cores is there to compensate in terms of performance. Do note that the TDP of the brand-new cards is set at 250W, though we anticipate that you must have the ability to reduce the Power Limit a little bit and also get a far better results compared to at stock setups.
Nvidia GeForce GTX 1080 Ti Specifications:
– – Graphics Processing Clusters: 6
– – Streaming Multiprocessors: 28
– – CUDA Cores (single precision): 3584
– – Structure Devices: 224 – ROP Devices: 88
– – Base Clock: 1480 MHz
– – Increase Clock: 1582 MHz
– – Memory Clock: 5505 MHz
– – Memory Data Price: 11 Gbps
– – L2 Cache Dimension: 2816K
– – Overall Video Memory: 11264MB GDDR5X
– – Memory Interface: 352-bit
– – Total Memory Bandwidth: 484 GB/s
– – Structure Rate (Bilinear): 331.5 GigaTexels/sec
– – Manufacture Refine: 16 nm
– – Transistor Matter: 12 Billion
– – Connectors: 3 x DisplayPort, 1 x HDMI – Form Aspect: Double Port
– – Power Connectors: One 6-pin, One 8-pin
– – Recommended Power Supply: 600 Watts
– – Thermal Design Power (TDP): 250 Watts
– – Thermal Threshold: 91 ° C
We have managed to do some fast testing of the brand-new GTX 1080 Ti as well as the results do seem encouraging. Starting with the currently much more lucrative formulas on NiceHash as well as benchmarking with their NiceHash Miner that utilizes numerous quick doing miners (the miner made use of is noted after the formula). Not all the most recent and also highest possible doing miners may be included, so we also ran some additional examinations making use of the Claymore ETH miner that handled to offer a stable hashrate of concerning 31.8 MHS with stock settings of the card as well as the most recent EWBF CUDA miner that handled to squeeze a little bit extra at about 625 H/s from the GTX 1080 Ti.
You can utilize these numbers as a referral, including the expected daily success if marketing the hashrate kind a GTX 1080 Ti on NiceHash that their miner also reports. With any luck we are going to be able to run some more criteria in the following pair of days as well as play around to see exactly what the GPU is capable in regards to overclocking, though with the very high boost frequency and also a TDP of 250W you must not be expecting a whole lot a lot more at least from the Founders Edition version that is introducing initially. Do note that effectively powering as well as cooling 6 of these GPUs in a mining rig is not mosting likely to be as simple as with GTX 1070 Founders Edition for instance that take in much less power and also are a far more prominent selection by miners making use of Nvidia GPUs.
Do note that with the launch of the GTX 1080 Ti, Nvidia is likewise going to have a new prices for the GeForce GTX 1080 Founders Edition as well as GeForce GTX 1080 partner boards that will certainly obtain a little bit a lot more cheaper. There is no word on reducing the costs of the GTX 1070 as well nonetheless. In addition two new versions with greater clocked video clip memory ought to be readily available quickly, the GeForce GTX 1080 with 11 Gbps in addition to the already available 10 Gbps version as well as GeForce GTX 1060 9 Gbps along the currently available 8 Gbps versions. The faster memory variants could be of rate of interest specifically for the miners that are right into mining crypto moneys based on algorithms that are a lot more memory reliant such as ZEC or ETH for instance.
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