What can GPU do? I believe that everyone will have a variety of 想, from 3D rendering to automatic driving, it seems that it's "use" more and more. YAN Tuanqing, Sales Director in British Weida, said: Vision calculation is a very complex application, NVIDIA's GPU processor is also a processor that is much more complex than CPU. Now, the entire visual calculation has become the cutting edge of today's technology applications.
As early as 2011, NVIDIA began to try to use the neural network to help complete the machine's cognitive work in North America. In this process, the process of depth learning is generated to help us analyze the brain thinking of the learner, the principle of learning, and then Application of artificial intelligence.
GPU calculations are changing our lives
Talking about the broadening of the application, it is inseparable from NVIDIA to drive in this regard. In terms of medical big data, the state now advises each person's electronic medical record to track the physical condition after birth. At the same time, medical data is also very beneficial to the doctor to help the public quickly deal with the disease. Therefore, the original doctor helps us detect, today the machine can also further rely on the machine to help deal with some disease information.
In addition, the experimental and chemical analysis involved in the pharmaceutical also rely very rely very relying very relying very relying on the GPU, which is not to form a concept or drug by multi-data, but through another method to simulate the chemical structure to cure the human cells, in this case Analysis can help companies greatly accelerate the entire pharmaceutical process.
In terms of safety protection, current digital certificates, facial identification technology is very convenient, and the banking business is no longer necessary to go to the counter. For example, from the Capital Airport, suddenly think of an urgent business to do, there will be some unattended machines, as long as standing in front, the machine can take a photo to take a photo, these tasks need to be used to use facial recognition Technology.
It is already popular today to see that the second model is almost equipped with a secondary model in the market. It is estimated that by 2020, Mercedes, Audi and other manufacturers will release a fully automated car, which is also to rely on GPU powerful computing power.
Quadro GP100 makes users pay money through high performance
Recently, NVIDIA's highlights are the new version of Quadro GPUs include GP100, P4000, P2000, P1000, P600 and P400. There are also P5000 / P6000, mainly used in professional fields, also known as the most powerful products of today's world performance. .
The GP100 is based on the architecture of GPU Pascal. It is used by the Quadro algorithm. It can also have different calculation cores, whether it is single-precision or double precision, can form a very good performance. Single precision performance can reach 20TFLOPS, so it is very large for deep learning. In addition, the user can use the 2 GP100 to connect with NV LINK. It has 16 Gb high bandwidth memory capacity, which is the so-called HBM2, which is also the latest generation of storage technology. In addition, 4K, 5K displays resolution are also supported, and VR certification is passed, VR can be made at the desktop.
For simulation applications, you need to pay attention to costs in addition to performance. For example, the license fee used in ABAQUS is based on the quantity of the calculation core. That is, if you use a 16-core CPU, you will receive 16 token; if it is a 32-core CPU, you have to receive 21 token. But using GP100, users can save the cost of TOKEN and province CPUs. Because if you use GP100, users don't have to buy so expensive 16-core or 32-core CPU system, only 8 core CPU + GP100 can be, so CPU saves money, and 12 token is enough. From two aspects, it is the user's province.
Build an ecological chain to play GPU's largest value
From the graphics workstation market, Sandeep Gupte, senior Director of NVIDIA, said: NVIDIA and other companies are somewhat different, see the opportunity of the market, will lay out from the entire ecological chain. We can see that many users are also working with PCs for the workstation of the graphics workstation because of the limited cost budget. However, in the past two years, the demand for the entire graphics workstation will be very much. You will also see this year. In the DIY market, there will be a DIY's Designer PC, and the built-in graphics card is NVIDIA's latest product.
NVIDIA first introduces Quadro embedded GPU this year, such as equipment, robotic visual equipment, defense related equipment, etc., and application ranges are also very wide. Today, I saw a lot of work in the market in the market. "I have this SDK, you can help you to do this, you can support your program porting,", NVIDIA has begun to enrich the entire ecological chain, let users Experience the value of the professional GPU.
Overall, artificial intelligence is not strange in many mobile Internet or social media, such as the map search, follow the star to shop, speech recognition, input and transformation into text, can even make the machine I understand, understand the language of humanity. Relying on NVIDIA's strongest GPU, artificial intelligence is rapidly developing, the scene of future robots seems to have emerged, let us wait and see.
This article originally address: https://www.eeboard.com/news/nvidia-gpu-2/
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