Question #1387
A company is running large-scale simulations that require rapid access to massive datasets in a High Performance Computing (HPC) environment. Which Amazon EC2 instance type is most appropriate to handle these workloads efficiently?
General purpose instances
Compute optimized instances
Memory optimized instances
Storage optimized instances
Explanation
The correct answer is D. Storage optimized instances.
Why D is correct:
Storage optimized instances (e.g., AWS's Dense-storage or High I/O instances) are specifically designed for workloads requiring high sequential read/write access to very large datasets. They provide high disk throughput, low latency, and large local storage capacity, which are critical for HPC environments processing massive datasets efficiently.
Why other options are incorrect:
- A. General purpose instances: These balance compute, memory, and storage but lack the specialized storage performance needed for rapid access to massive datasets.
- B. Compute optimized instances: Optimized for CPU-intensive tasks but do not prioritize storage I/O, which is critical here.
- C. Memory optimized instances: Designed for in-memory processing (e.g., real-time analytics) but do not address the need for high-speed storage access.
Key Points:
- HPC workloads often require fast I/O for large datasets.
- Storage optimized instances excel in sequential read/write operations and low-latency storage access.
- Other instance types prioritize compute, memory, or general-purpose use, making them less suitable for storage-heavy HPC simulations.
Answer
The correct answer is: D