Examples of using Commodity hardware in English and their translations into Chinese
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Beowulf Clusters are scalable performance clusters based on commodity hardware, on a private system network, with open source software(Linux) infrastructure.
It turned out having one company manage that commodity hardware for everyone else had several important advantages that more than justified those margins.
Data lakes are usually configured on a cluster of inexpensive and scalable commodity hardware.
The implementation of a single NameNode also requires the use of commercial-grade NAS, not budget-friendly commodity hardware.
Furthermore, because object storage is designed primarily for scale, it is usually acceptable to base object storage on low-cost, commodity hardware.
Kudu shares the common technical properties of Hadoop ecosystem applications: it runs on commodity hardware, is horizontally scalable, and supports highly available operation.
Networking: Usually commodity hardware running some kind of software-defined networking(SDN) software to manage cloud connections(see below for more information about networking).
We're currently using commodity hardware(a single 8 GPU machine) and a training dataset of only a few thousand books(~5GB of text).
WIth a virtualized network, AT&T can turn routers, firewalls and other network equipment into virtual functions that run on commodity hardware, primarily servers.
The availability of big data, low-cost commodity hardware, and new information management and analytics software has produced a unique moment in the history of business.
The use of immersive virtual reality(VR) platforms for scientific data visualization has been in the process of exploration including software and inexpensive commodity hardware.
They buy a lot of commodity hardware.
First, they provide scalability to store large volumes of data on commodity hardware.
And second, Hadoop is designed to be installed on low-cost commodity hardware.
And second, Hadoop is designed to be installed on low-cost commodity hardware”.
It allows anyone to add any kind of functionality to the network using commodity hardware.
MongoDB is built to scale out on commodity hardware, in your data center or in the cloud.
MongoDB also makes the most of today's computing resources, including commodity hardware and cloud infrastructure.
Hadoop is popular because it provides a nearly limitless environment for big data processing using commodity hardware.
MongoDB also makes the most of today's computing resources, including commodity hardware and cloud infrastructure.