What is the recommended RAM for a Document Understanding (DU) development machine?

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Multiple Choice

What is the recommended RAM for a Document Understanding (DU) development machine?

Explanation:
For a Document Understanding (DU) development machine, 16GB of RAM is regarded as the recommended specification because it strikes a balance between performance and resource availability. Document Understanding applications often handle large volumes of documents and complex data extraction tasks, which can be memory-intensive processes. With 16GB of RAM, the development environment can efficiently manage multiple tasks such as loading document images, running machine learning models, and processing data without significant slowdowns. This amount of RAM supports better multitasking capabilities, allowing developers to test and debug their workflows effectively while ensuring that the system remains responsive. Choosing lower RAM configurations may lead to performance bottlenecks, particularly when running multiple applications or large-scale document processes concurrently, which are common scenarios during development and testing of DU applications. Hence, 16GB serves as an optimal recommendation for ensuring smooth operation during the development of Document Understanding solutions.

For a Document Understanding (DU) development machine, 16GB of RAM is regarded as the recommended specification because it strikes a balance between performance and resource availability. Document Understanding applications often handle large volumes of documents and complex data extraction tasks, which can be memory-intensive processes.

With 16GB of RAM, the development environment can efficiently manage multiple tasks such as loading document images, running machine learning models, and processing data without significant slowdowns. This amount of RAM supports better multitasking capabilities, allowing developers to test and debug their workflows effectively while ensuring that the system remains responsive.

Choosing lower RAM configurations may lead to performance bottlenecks, particularly when running multiple applications or large-scale document processes concurrently, which are common scenarios during development and testing of DU applications. Hence, 16GB serves as an optimal recommendation for ensuring smooth operation during the development of Document Understanding solutions.

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