SMB vs NFS for Enterprise AI Teams: Which Protocol Wins?
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.
Mounting S3 as NFS: Why FUSE Isn't Enough for Production
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.
AWS EFS vs Training Pipes: A Cost Breakdown for ML Workloads
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.
Stop Using s3fs in Production: Better Alternatives for ML Teams
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 vs S3 for AI Training: When to Use Each
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.