多台机器 - 翻译成英语

• multiple machines

在 中文 中使用 多台机器 的示例及其翻译为 英语

在1980年代，PPPL运行过多台机器，雇用了将近1300名员工，并领导了全球对利用核聚变这种跟太阳一样原理的能量源的追求。
In the 1980s, PPPL ran multiple machines, employed nearly 1300 people, and led the worldwide quest to harness fusion, the energy source of the Sun.

SonarQube的架构允许我们将SonarQube服务器和数据库分离，甚至你可以在多台机器上进行数据库复制和服务器部署，以获得更好的性能和扩展性。
SonarQube architecture allows separating server and database and even making database replications and deploying server on multiple machines to get better performance and scalability.

现在我们到了第二部分，进入更高的层次，并提出一个问题：如果多台机器参与数据的存储和检索，会发生什么？?
Now, in Part II, we move up a level and ask: what happens if multiple machines are involved in storage and retrieval of data?

令人意外的是，能让多台机器以确定性的方式（deterministicmanner）按各自的速度重放历史记录的能力是这些问题的核心。
Surprisingly, at the core of these problems is the ability to have many machines playback history at their own rate in a deterministic manner.

句法互操作性是在两台或多台机器之间交换结构化数据的能力,通常由OSI模型的第5层和第6层处理。
Syntactic interoperability, or the ability to exchange structured data between two or more machines, is typically handled by Layers 5 and 6 of the OSI model.

连接并管理多台机器.
Connect and manage multiple machines.

数据分布在多台机器.
The data is distributed to multiple machines.

我们可以使用多台机器来处理这些数据。
We have to use multiple machines to process this data.

一名操作人员可以同时监控或控制多台机器。
Personnel 1 person can operate and monitor multiple machines.

因此，一名作业者，可以掌控多台机器。
Therefore, 1 operator can manage multiple machines.

家谱发布》的注册版可以在多台机器上使用吗？?
Can the registered version of components be used on multiple machines?

于是，我们就需要将数据分布在多台机器上。
This requires spreading the data across a large number of machines.

为了存储这些庞大的数据，这些文件都存储在多台机器。
To store such huge data, the files are stored across multiple machines.

要存储这么大的数据，这些文件存储在多台机器上。
To store such huge data, the files are stored across multiple machines.

为了存储这些庞大的数据，这些文件都存储在多台机器。
If you are looking for storing such huge data, the files are stored across multiple machines.

要存储这么大的数据，这些文件存储在多台机器上。
If you are looking for storing such huge data, the files are stored across multiple machines.

它可以让您管理多台机器，如同它们是一台计算机一样。
It lets you manage multiple machines as if they were a single computer.

Hadoop提供数据的并行处理，因为它可以同时在多台机器上运行。
Hadoop provides parallel processing of data as it works on multiple machines simultaneously.

它可以让您管理多台机器，就好像它们是一台计算机一样。
It lets you manage multiple machines as if they were a single computer.

为了减少构建模型所需的时间，需要多台机器上的多个GPU。
In order to decrease the time it takes to build a model, multiple GPUs over multiple machines are needed.