1650 scuda
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:
number of shaders: 48unified
manufacturing process: 40nm
grating unit: 4
bit width: 64bit
capacity: 2048m
computing power:
pixel fill rate: 1.7gpixel/s
texture fill rate: 6.8gtexel/s
video memory bandwidth: 12.8gb
hope to help you.
GeForce 9800 GT frame FX 570
GeForce 9600 GSO frame FX 370
GeForce 9600 GT frame NVS 290
GeForce 9500 GT frame FX 3600M
GeForce 8800 Ultra frame FX 1600M
GeForce 8800 GT Box FX 570M
GeForce 8800 GTS frame FX 360M
GeForce 8800 GT frame Plex 1000 Model IV
GeForce 8800 GS frame Plex 1000 Model S4
GeForce 8600 GTS
GeForce 8600 GT
GeForce 8500 GT
GeForce 8500 GT
GeForce 8400 GS The power of the second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second second Force 9800M GT Quadro NVS 135M
GeForce 9700M GTS The NVVVS 130M <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<>>>The Force <<<<<<<<<<<<<<<<<<<<
GeForce 9100M G
GeForce 8800M GTS
GeForce 8700M GT
GeForce 8600M GT
GeForce 8600M GS
GeForce 8400M GT
GeForce 8400M GS
GeForce 8400M G
GeForce 8200M G
bus line: No.17 → Yangzhou line of Yangtai airport, the whole journey is about 42.7 km
1. Walk about 590 meters from Yangzhou to the people's building (traditional Chinese medicine hospital) station
< P > 2. Take No.17, pass 4 stops, and reach shouxihu (hongqiaofang) station (or take No.51 evening shift)3. Walk about 290 meters, and reach Yangzhou city terminal (friendship guild hall) station
4 Take Yangzhou line of Yangtai airport, pass 1 stop to Yangzhou Taizhou Airport Station
5, walk about 640 meters to Yangzhou Taizhou International Airport
Support
GTX 1650 is based on Turing architecture small core 12NM tu117, desktop 896 stream processors, notebook 1024 stream processors, with 128 bit 4GB gddr5 video memory, with power consumption of 60-80W on desktop and 35-50w on notebook
in addition to continuing to simplify the stream processor and video memory, and not supporting ray tracing, DLSS deep learning and anti aliasing (at least not saying that it will be open at present), GTX 1650 actually secretly shrinks the water in multimedia coding
The
convolution operation is greatly constrained by the computational speed. Therefore, to measure the performance of GPU running resnets and other convolution architectures, the best index is flops. Tensor core can significantly increase flops. The large-scale matrix multiplication used in transformer is between convolution operation and small-scale matrix multiplication of RNN. 16 bit memory, tensor core and tflops are all good for large-scale matrix multiplication, but it still needs a large bandwidth of video memory
If you want to take advantage of tensor core, you must use 16 bit data and weight to avoid using RTX graphics card for 32-bit operation! Standard performance data of GPU and TPU. The higher the value, the better the performance. RTX series assumes 16 bit calculation, and word RNN value refers to length & lt; The bilstm performance of 100 segment sequencesCUDA (Compute Unified Device Architecture) is a computing platform launched by NVIDIA, a graphics card manufacturer. CUDA™ GPU is a general parallel computing architecture developed by NVIDIA, which enables GPU to solve complex computing problems
N cards with core above g80 are all supported, that is, the earliest geforce8 Series graphics cards in 2006 to the present N cards are all supported
GTX 1650 super will be based on tu116 GPU and equipped with 1280 CUDA cores, which is the same as the number of CUDA cores of GTX 1060 and far more than the number of 896 cores of GTX 1650. The power consumption of 1050ti: 1050ti has 768 CUDA, 48 shadow units, 32 grating units, 4GB gddr5 video memory, 128 bit width, equivalent video memory frequency 7008mhz, three display port 1.4, one HDMI 2.0B, one DVI interfaces, thermal design power consumption 75W, public version does not need external auxiliary power supply.