Suanli 320

1. Amazon, Microsoft, Google, Facebook, Samsung and apple are all big enterprises. The really excellent big enterprises will not fall behind. Their ability to integrate resources, as well as the accumulation of market and R & D, are hard for small and medium-sized enterprises to compare. Nowadays, banks, energy companies and large auto companies are all in the cloud. They also want to build a system for themselves that can improve their operational efficiency
data security will become more and more important. When it comes to data security, we must talk about public cloud and private cloud. The so-called public cloud means that all the IT resources you use are provided by various manufacturers, while the private cloud is to create a set of cloud solutions for your company, including all three-tier architectures

the hybrid cloud refers to a part of the public cloud and a part of the private cloud. Most small and medium-sized enterprises will use the public cloud, and some businesses of large enterprises will also run on the public cloud. Since you are using the resources of cloud manufacturers for business and data, you will of course worry about whether the data will be leaked. Once the data is leaked, it will have a huge impact, so data security is now the point that all cloud manufacturers are very concerned about.

2.

On January 7, Qualcomm officially released its new autopilot computing platform, snapdragonride. The platform includes security system level chip, security accelerator and autopilot software stack, which can meet the computing requirements of the highest L4 / L5 autopilot. Qualcomm announced that the platform will be delivered to automobile manufacturers and first tier suppliers for preliminary development in the first half of 2020, and the vehicles carrying the platform are expected to be put into mass proction in 2023

interpretation: as early as 2012, Qualcomm entered the automotive chip field. Up to now, the cumulative amount of orders from Qualcomm in the automotive sector has reached $7 billion, up from $6.5 billion two months ago

however, the previous chips were all communication and entertainment chips. At the press conference, Qualcomm disclosed that it has been more than four years since it launched the autopilot chip. In 2017, Qualcomm obtained the license of automatic driving test in California. The purpose of this test is to verify its chip

currently, one of the biggest pain points of autopilot chips is that it is difficult to achieve the balance between computing power and power consumption. From the beginning, Qualcomm decided to make use of its accumulation in the mobile phone chip instry to make high computing power and low power ASIC chips. Snapdragonride, the L4 level automatic driving computing platform released by Qualcomm, is equipped with two self-developed automatic driving processors ml (ASIC), GPU and CPU

snapdragonride platform can achieve the highest computing power of 700tops with 130W power consumption. If this plan can be realized, then Qualcomm's automatic driving scheme is quite competitive in terms of computing power. For example, compared with the 144tops / 72W of Tesla hardware3.0, the energy efficiency advantage of Qualcomm's procts is obvious

among the mass proction schemes, Huawei's mdc600 has the strongest computing power, with 352tops computing power and 352w power consumption; Next is NVIDIA's drivepegasus, with 320tops computing power and 500W power consumption

according to the plan, the computing power of agxorin, the computing platform of Orin based on the next autopilot chip, can reach 2000tops, but the power consumption can also reach 750W, which can hardly be applied to mass proction vehicles

in contrast, Qualcomm's autopilot computing platform does not need a fan or liquid cooling system, but uses a simpler passive air cooling system to achieve higher reliability

snapdragonride platform also reces the number of chips and turns them into L2-L3 automatic driving solutions with computing power of 60-120tops or ADAS solutions with computing power of 30tops. At this CES, Qualcomm and GM reached a cooperation on ADAS business

in terms of business model, Qualcomm's approach is relatively open. It can provide full stack solutions, or only sell chips, algorithms and sensor solutions, which can be handled by customers themselves

in the future, v2x chip will also be one of the important revenue sources of Qualcomm in the automotive business

in addition, through its car to cloudservice, Qualcomm also provides technical support for car companies in cloud computing and Ota. It is worth mentioning that its car to cloudsoftsku supports the security upgrade of chipsets

this article comes from the author of car home, which does not represent the standpoint of car home

3. Main board: gigabyte-g41 (more than 500 video memory)
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.

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