CUDA official computing power
at present, the popular cards for deep learning are rtx2080ti and rtx2070 (multi-channel), and it is not easy to buy more than one of them when gtx1080ti is delisted Second hand another)
* for the deep learning of CUDA platform, the graphics card mainly focuses on: single precision floating-point operation, video memory, tensor core (Turing architecture and volt architecture, RTX series and Titan V)
* in terms of the main stability and some special functions of Tesla, double precision (currently this deep learning is less used), single precision and half precision floating-point operation have little advantage, It's expensive (if you want to surpass gtx1080ti, you need tens of thousands of Tesla V100)
data sources: the following information comes from enterprise credit reference institutions, more detailed enterprise risk data, company official website, company profile, which can be inquired on nailing enterprise dictionary, and more company recruitment information can be inquired on the company official website< br />
• Company profile:
Shenzhen Lianrong Technology Co., Ltd. was established on July 6, 2017, with registered capital of 0.7 and legal representative of Li Weiping. Its address is 14 / F, Minsheng financial building, Haitian Road, Lianhua Street, Futian District, Shenzhen. Its unified social credit code and tax number are 91440300ma5elwky67 and its instry is information technology consulting service, The registration authority is Shenzhen market supervision and Administration Bureau, and its business scope is licensed business items: design and sales of computer network equipment, communication equipment and electronic procts; Database and computer network services; The development and application of blockchain technology; Supply chain management and related supporting services; Accept the entrustment of enterprises to engage in information and technical services; Enterprise management consulting; Domestic trade; Import and export business Items prohibited by laws and administrative regulations are excluded; The business registration number of Shenzhen Lianrong Technology Co., Ltd. is 440300201734294; Branches:
, 8226; Foreign investment:
,
, 8226; Shareholders:
&; Senior executives:
memory: Kingston 2G
Display: aoc19 inch (self-made model)
hard disk: Western Digital 320
others are determined according to their own needs
I bought the whole machine here in Zhongshan City, Guangdong Province, and the price is about 2650 yuan (I think it's very cheap)<
it is recommended to buy second-hand ones online:
if you are interested, you can buy second-hand ones online. For example, I bought a cup (main frequency 2.2g), which costs 33 yuan (plus postage 9 yuan, a total of 42 yuan, it is estimated that the brand-new can buy about 300 yuan). With this cup, you can play large-scale games such as Tomb Raider 7, Roman total war and so on. It's no problem, super cost-effective! The memory and motherboard are easy to use, and they are ridiculously cheap. Here I will not give examples one by one. If you are interested, you can go online shopping, but you should also pay attention to the poor flexibility of online shopping, so you need to make more comparisons.

with the development of graphics card, GPU becomes more and more powerful, and GPU optimizes the display image. It has surpassed the general CPU in computing. If such a powerful chip is only used as a graphics card, it would be too wasteful. Therefore, NVIDIA launched CUDA, which enables the graphics card to be used for purposes other than image computing
simply speaking, for example, through CUDA architecture, video playback software can fully exploit the GPU parallel computing power of NVIDIA Series graphics card, and easily play high-definition movies. Compared with software HD decoding, CPU consumption can be reced by more than half. Of course, the application fields of CUDA are not just video, graphics and games, including all kinds of 3D and modeling, medical, energy, scientific research, etc. the application of this technology architecture can be seen everywhere
the hardware environment supporting CUDA requires NVIDIA GF8 series and above graphics card, and install 185 version or above graphics card driver. In terms of QQ video player, to enable CUDA hardware decoding acceleration, you can open the "player settings" of QQ video, enter the "HD acceleration" panel, select "custom optimization mode" in "hardware optimization", and then select the corresponding "QQ CUDA video decoder (cudadecfilter. Ax)" in "video decoder" in "filter configuration". To turn off CUDA acceleration, just deselect "QQ CUDA video decoder (cudadecfilter. Ax)" or switch to "intelligent HD mode" or "stable compatibility mode". By turning on this HD decoding definition, it doesn't mean how much your picture quality can be improved, but it improves the fluency of HD video playback and reces the CPU occupation. At this time, the saved CPU space can allow you to do other work, which will greatly improve your work efficiency, instead of being unable to do anything except watching video.
9500GT or above gt210 or above GTX full series support FX, depending on the specific model, because there are too many, it is not detailed. CUDA is completely opened by default. As long as your driver is downloaded from the official website, it will be opened by default on the driver installation. To identify whether it is opened, you can use gpu-z to test it
for reference. I hope it can help you
