What is the RAM/Core configuration for BM.Standard.E3.128?

What is the RAM/Core configuration for BM.Standard.E3.128?

• A. 10GB
• B. 12GB
• C. 15GB
• D. 16GB

Answer: (D)

The BM.Standard.E3.128 instance type offers a configuration of 16 GB of RAM per core. This specific configuration is designed to provide a balanced performance that is suitable for high-performance computing applications and big data workloads. The 16 GB RAM allocation helps ensure that the instance can handle large datasets efficiently and support the processing needs of applications that require more memory for computations. In the context of high-performance computing and data-intensive applications, the amount of RAM per core is critical as it impacts the overall performance and resource utilization. The BM.Standard.E3.128 model is targeted at workloads that benefit from both high memory capacity and performance, making it a suitable choice for users leveraging big data processing frameworks, real-time analytics, and other demanding applications. Other configurations may not provide the same level of resource optimization needed for these purposes, which is why they are not the correct answer.

The BM.Standard.E3.128 instance type offers a configuration of 16 GB of RAM per core. This specific configuration is designed to provide a balanced performance that is suitable for high-performance computing applications and big data workloads. The 16 GB RAM allocation helps ensure that the instance can handle large datasets efficiently and support the processing needs of applications that require more memory for computations.

In the context of high-performance computing and data-intensive applications, the amount of RAM per core is critical as it impacts the overall performance and resource utilization. The BM.Standard.E3.128 model is targeted at workloads that benefit from both high memory capacity and performance, making it a suitable choice for users leveraging big data processing frameworks, real-time analytics, and other demanding applications. Other configurations may not provide the same level of resource optimization needed for these purposes, which is why they are not the correct answer.