NCP-AII Question 28
Select 3You are managing an AI infrastructure that frequently processes large datasets for training and inference. The current storage solution is experiencing high latency during training jobs, causing delays in model development. Which storage optimization strategies would you implement to address the latency issue and improve performance?
- A
Implement a tiered storage system with NVMe for high-priority data
- B
Enable data compression to reduce storage size and improve read speeds
- C
Adopt a distributed file system like Lustre or BeeGFS
- D
Store all datasets on a single high-capacity HDD to centralize access
- E
Optimize data placement based on workload patterns
Show answer and explanation
Correct answers: A, C, E
Explanation
To optimize storage for AI workloads, it is essential to focus on reducing latency and improving throughput. Strategies such as tiered storage with NVMe, adopting distributed file systems, and optimizing data placement align with these goals. These approaches ensure that high-priority and frequently accessed data benefit from faster storage solutions, while distributed systems handle large-scale data efficiently. Avoid strategies that centralize access or introduce additional latency, such as relying on a single HDD or enabling compression for latency-sensitive tasks.
- A. Correct.
Implementing a tiered storage system with NVMe for high-priority data can significantly reduce latency by utilizing faster storage for frequently accessed datasets.
- B. Incorrect.
While data compression reduces storage size, it can increase latency during decompression, making it unsuitable for latency-sensitive AI workloads.
- C. Correct.
Distributed file systems like Lustre or BeeGFS enhance performance by distributing the workload across multiple storage nodes, reducing bottlenecks for large-scale data processing.
- D. Incorrect.
Using a single high-capacity HDD centralizes access but introduces significant latency for concurrent AI workloads, making it a poor choice for performance optimization.
- E. Correct.
Optimizing data placement based on workload patterns ensures that frequently accessed data is stored in faster storage tiers, reducing access times and improving overall performance.