Which file system type suits many nodes reading the same dataset?
Why C is the answer
A parallel file system
Parallel file systems scale throughput across nodes.
In detail
- Parallel file systems scale throughput across nodes.
- It spreads data across servers.
Use case
An illustrative scenario, not a real incident.
A hundred nodes read one dataset, and a parallel file system scales the throughput.
See it in different ways
flowchart TD A["AI storage"] --> B["High read throughput for training"] A --> C["Fast checkpoint writes"] A --> D["Many small files for metadata"]
mindmap
root((AI storage))
Reads
High throughput
Parallel file system
Writes
Fast checkpoints
Direct path
GPUDirect Storagemindmap
root(("Parallel file system"))
n1["Readers"]
n2["Node 1"]
n3["Node 2"]
n4["Node 3"]Key point: Parallel file systems scale reads.
Why the other options are wrong
- A. One NFS share on a single server
- One server is a bottleneck.
- B. A tape library
- Tape is too slow.
- D. A local FAT partition
- FAT is not shared.