News on China's scientific and technological development.

Wrought

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So in China,using hard disks to transfer data between cities,is alot cheaper than rent fiber

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其中在成本方面,他以某一自动驾驶企业为例解释称,该企业在全国4个地方20辆车每天产生的自动驾驶数据,先传回上海再传到贵阳训练,大概需要两条10G和一条1G的电路,一年花费一千万元左右。

用不起怎么办?改用硬盘收集数据,在两个城市间运输,考虑数据丢失、硬盘损害等情况,一年需要190万元左右

In terms of cost, he explained that the autonomous driving data generated by 20 vehicles in four places across the country every day is first transmitted back to Shanghai and then to Guiyang for training, which requires two 10G and one 1G circuits, costing about 10 million yuan a year.

What to do if you can't afford it? Use hard disks to collect data and transport it between two cities. Considering data loss, hard disk damage, etc., it costs about 1.9 million yuan a year.

An old problem, known for many years.

It is accepted wisdom that when the data you wish to move into the cloud is at terabyte scale and beyond, you are better off shipping it to the cloud provider, rather than uploading it.

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jli88

Junior Member
Registered Member
So in China,using hard disks to transfer data between cities,is alot cheaper than rent fiber

Please, Log in or Register to view URLs content!

其中在成本方面,他以某一自动驾驶企业为例解释称,该企业在全国4个地方20辆车每天产生的自动驾驶数据,先传回上海再传到贵阳训练,大概需要两条10G和一条1G的电路,一年花费一千万元左右。

用不起怎么办?改用硬盘收集数据,在两个城市间运输,考虑数据丢失、硬盘损害等情况,一年需要190万元左右

In terms of cost, he explained that the autonomous driving data generated by 20 vehicles in four places across the country every day is first transmitted back to Shanghai and then to Guiyang for training, which requires two 10G and one 1G circuits, costing about 10 million yuan a year.

What to do if you can't afford it? Use hard disks to collect data and transport it between two cities. Considering data loss, hard disk damage, etc., it costs about 1.9 million yuan a year.

That's always been the case. Transferring huge loads of data over the internet can be costly, and slow. AWS even offers a service that physically sends you a large hard disk to copy data from your on-premise server to transfer to AWS.
 
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