Rtx8000 mining capacity
Gtx960 can dig, but its computing performance is very poor. The single precision is only 2.6t, and the double precision is 1 / 32 of the single precision, so the efficiency is too low
the full load operation of two gtx960s is not as efficient as AMD's one rx480, and the two 960s have the same computing power and higher power consumption
the performance of gtx960 is the same as that of gtx1050ti, and there is not much difference in mining computing power. N-card computing is different from a-card computing. Amd graphics card is used for mining, while r9380 is several times slower for gtx960 mining
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gtx960 graphics card mining is not very cost-effective, mining card is rare, generally a card mining, n card is rare, no matter how much money is not recommended to buy
The performance of gtx960 and gtx1050ti are at the same level, but these two types of graphics cards are not in the range of mine cards, because the computing performance of 1050ti and 960 can not meet the mining requirements, or they may not be able to mine in half a year. Generally, mine cards are made of rx470, 480, 570, 580 or gtx1060 middle end graphics cards, as well as high-end onesthe performance of the graphics card is determined by the hardware specifications of the card itself. No matter what optimization and setting tools are used, there will be no substantial change. If the game has high requirements for graphics card, and gtx960 can not meet the requirements, then the most effective way is to rece the resolution and special effects settings, and the fluency will certainly be improved
can surpass, but it is not recommended to play games
RTX 8000 is a high-end professional GPU based on NVIDIA Turing architecture and NVIDIA RTX platform. It can provide hardware accelerated ray tracing, deep learning and advanced coloring functions for professionals. It is built for professionals. It is not recommended to play with professional cards
Quadro RTX 8000 is the most advanced GPU of NVIDIA Turing Architecture series, with ultra fast on-board video memory technology and optimized software driver for professional applications
RTX 8000 includes 72 RT cores, which can accelerate realistic ray tracing rendering. Meanwhile, 576 tensor cores are added, which can provide deep learning performance up to 130.5 tflops
using NVIDIA nvlink & 8482; The technology can also connect two RTX 8000 to share GPU and video memory. The performance can be expanded by up to 100 GB / s connection performance and up to 96 GB gddr6 combined video memory, so as to provide processing support for super large scene files, rendering and AI
Moreover, Quadro RTX 8000 supports AI optimization software, such as deep learning framework caffe2, mxnet, cntk, tensorflow, etc., which can greatly speed up training time and improve multi node training efficiency. GPU acceleration function libraries such as cudnn, cublas, tensorflow, etc{rrrrrrr}
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problems in manufacturing process:
integrated circuits develop to nano scale process, constantly approaching the physical limit, resulting in the so-called red wall problem:
first, line delay is more and more important than gate delay. Long line not only has the problem of transmission delay, but also has the problem of energy consumption
Secondly, the feature size is so small that defects in chip manufacturing are inevitable. We should study fault tolerance and error avoidance technology from three aspects: defect tolerance, fault tolerance and error tolerance Thirdly, leakage current and power consumption become very important, and self-management technology of power consumption should be adopted. Modern graphics processor chips have made remarkable progress in overcoming the red wall problem in several aspects: using a large number of regular SIMD array structure; Its distributed memory is close to the operation unit, which reces the long-term effect; Its hardware multithreading conceals part of the impact of storage latencyAthlon
II
x2240 or 245, and the reference price is 405 / 435.
memory you can buy DDR2
800
2GB, or you can use two al channels or two 1GB memory.
the reference price of a single 2GB memory is 150-160 yuan