Head-to-head storage comparisons
Training Pipes measured against AWS EFS, FSx for Lustre, s3fs, and Mountpoint for S3 — including the workloads where the alternative is the right call.
5 posts
NFS dominates in Linux-first ML shops; SMB dominates in mixed Windows environments. Here's how to choose, and why enterprise AI teams often end up wanting both.
Searching for 'mount S3 as NFS' turns up a dozen FUSE-based tools. Here's why none of them survive production ML workloads, and what actually works.
EFS gives you POSIX on AWS. Training Pipes gives you POSIX plus caching plus any cloud. We ran the numbers on a realistic ML training workload to see which wins.
s3fs-fuse is a fine prototype tool and a dangerous production dependency. Here's what breaks, why, and what to use instead for real ML training workloads.
NFS and S3 solve different problems — but AI teams have to use both. Here's a clear framework for when each protocol wins, and how to stop choosing between them.