Curated Buying Guide
High-Throughput S3 Storage for AI Pipelines & Model Training
AI workloads require fast parallel read throughput for GPU clusters, massive capacity for training datasets, and zero egress fees for distributing model weights.
🏆 Top Editorial Recommendations
Editorial picks — curated by us for this workload, not the raw price ranking. The full computed table (all providers, storage boxes included) follows below.
Distribute 10GB+ checkpoints to edge workers and end-users with zero bandwidth egress bills.
Decentralized multi-source streaming downloads large AI training shards faster than single-stream S3.
Lowest cost per petabyte for raw dataset archives before pulling into local NVMe scratch storage.
Ranked Monthly Cost for Typical AI-DATASETS Workload
Simulated workload: 50 TB Stored · 20 TB Egress/mo · Region: global · ranked amounts shown in USD-equivalents
| Rank | Provider | Storage $/TB | Egress Policy | Simulated Monthly Bill | Link |
|---|---|---|---|---|---|
| #1 | Hetzner Storage Box Hetzner | $3.73 | $0.12/TB | $111.94 /mo | Visit ↗ |
| #2 | MEGA S4 Object Storage MEGA | $3.07 | Free egress up to 5x stored amount per month (Pro Flexi) | $161.62 /mo | Visit ↗ |
| #3 | iDrive e2 iDrive | $6.00 | First 3x stored amount in egress free per month | $300.00 /mo | Visit ↗ |
| #4 | Telnyx Cloud Storage Telnyx | $6.14 | Zero Egress | $308.60 /mo | Visit ↗ |
| #5 | B2 Cloud Storage Backblaze | $6.95 | First 3x stored amount in egress free per month | $347.50 /mo | Visit ↗ |
| #6 | Hetzner Object Storage Hetzner | $7.30 | 1 TB free | $387.38 /mo | Visit ↗ |
| #7 | Synology C2 OneStorage Synology | $7.99 | Zero Egress | $399.50 /mo | Visit ↗ |
| #8 | Wasabi Hot Storage Wasabi | $7.99 | Zero Egress | $399.50 /mo | Visit ↗ |
| #9 | OVHcloud Object Storage (Standard) OVHcloud | $8.11 | Zero Egress | $405.52 /mo | Visit ↗ |
| #10 | Storj Storj Labs | $7.00 | $7.00/TB | $490.00 /mo | Visit ↗ |
💡 Key Strategic Takeaways
- • Store raw multi-terabyte training archives on B2 ($5/TB) or Hetzner to minimize idle dataset retention costs.
- • Use Cloudflare R2 for public HuggingFace / open-weights mirror hosting to avoid catastrophic egress bills.
- • Deploy MinIO on local GPU servers for microsecond-latency NVMe training pipelines.
⚠️ Critical Gotchas & Hidden Costs
- ! Avoid storing millions of tiny individual text tokens directly in object storage — pack into WebDataset / TAR archives to avoid request fees.
- ! AWS S3 cross-region data transfer out to external GPU clouds (RunPod, Lambda, CoreWeave) will incur full $90/TB egress penalties.
Fine-Tune for Your Exact Workload
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