What Actually Drives Cloud Storage Costs in 2026?
Cloud storage pricing looks simple on the surface — a few dollars per terabyte per month. But beneath that headline number, storage costs multiply through hidden fees: API request charges, data egress fees, minimum retention periods, and tiering complexity that engineers spend hours untangling.
The three cost drivers that actually matter for AI and engineering workloads:
- Base storage rate — the per-TB/month charge for data at rest
- Data egress — the cost of reading data back out, often 5-10x the storage cost for active workloads
- API operations — PUT/GET/LIST requests that add up fast with small-file workloads like model checkpoints and dataset shards
For a typical AI training pipeline storing 10 TB of datasets and writing 5 TB of checkpoints monthly, the difference between a provider that bundles egress and one that charges per-GB can be hundreds of dollars per month — before you even look at the compute bill.
How Does BHK Cloud Storage Pricing Compare to AWS, GCP, and Azure?
BHK Cloud charges $2.49 per TB per month with no egress fees and no API request charges. Here is how that stacks up against the major hyperscalers:
| Provider | Storage ($/TB/month) | Egress ($/GB) | API Cost (per 1K ops) | Effective Cost (10 TB, 5 TB egress) |
|---|---|---|---|---|
| BHK Cloud | $2.49 | $0.00 | $0.00 | $24.90/month |
| AWS S3 Standard | $23.00 | $0.09 | $0.005 | $690.00/month |
| Google Cloud Storage | $20.00 | $0.12 | $0.004 | $800.00/month |
| Azure Blob Storage | $20.80 | $0.087 | $0.004 | $643.00/month |
| Wasabi | $6.99 | $0.00 | $0.00 | $69.90/month |
| Backblaze B2 | $6.00 | $0.01 | $0.004 | $110.00/month |
The pricing gap is stark. BHK Cloud's storage costs roughly 3% of what AWS S3 charges for the same workload — and the egress savings compound as data access grows. For a team running weekly training jobs that read 50 TB of data, AWS would bill over $4,500/month in egress alone. BHK Cloud: $0.
Why Does Data Egress Dominate Cloud Storage Bills?
Hyperscalers treat egress as a profit center. AWS charges $0.09 per GB for the first 10 TB of outbound data — that is $92 per terabyte transferred. For comparison, the storage itself costs $23 per TB. If you read your data just once per month, you pay 4x more for the transfer than for the storage.
This model made sense when cloud storage was primarily a backup target. Data went in, rarely came out. But AI workloads invert this pattern: training jobs read the entire dataset every epoch, inference pipelines stream data continuously, and checkpoint files move between storage and GPU instances multiple times per training run.
BHK Cloud eliminates egress fees entirely. Data moves freely between your storage volumes and GPU instances within the same infrastructure. For AI teams, this is not a minor savings — it is the difference between a predictable bill and an unpredictable one.
What Is the Total Cost of Storage for a Real AI Workload?
Consider a small AI team running a fine-tuning operation:
| Component | Monthly Volume | AWS S3 Cost | BHK Cloud Cost |
|---|---|---|---|
| Dataset storage (at rest) | 20 TB | $460.00 | $49.80 |
| Checkpoint storage | 5 TB | $115.00 | $12.45 |
| Data egress (training reads) | 100 TB | $9,200.00 | $0.00 |
| API operations | 5M requests | $25.00 | $0.00 |
| Total monthly | $9,800.00 | $62.25 |
That is a 157x cost difference for the same storage workload. The money saved on storage alone covers the GPU compute budget for the entire training operation.
How to Choose Cloud Storage for AI and ML Workloads
For AI teams evaluating storage providers, the decision framework is straightforward:
- Calculate your egress multiple. If you read data more than once per month, egress fees dominate. Choose a provider with zero or bundled egress.
- Profile your access patterns. Small-file random reads (dataset shards) generate API costs. Large-file sequential reads (checkpoints) do not.
- Check storage class minimums. Some providers charge a 90-day minimum for infrequent access tiers. If your checkpoints age out weekly, standard tier is the only option.
- Consider colocation. Storage and compute in the same infrastructure eliminate egress and reduce latency. BHK Cloud provides both GPU instances and storage volumes under one roof.
Frequently Asked Questions
Is BHK Cloud storage suitable for production AI workloads?
Yes. BHK Cloud storage volumes are built for high-throughput read/write operations, supporting the bandwidth demands of multi-GPU training jobs. Volumes attach directly to your GPU instances with no additional configuration.
How does BHK Cloud achieve $2.49/TB pricing?
BHK Cloud runs on owned infrastructure rather than reselling hyperscaler capacity. By eliminating the AWS/GCP/Azure margin and avoiding egress as a revenue model, the per-TB cost reflects the actual cost of operating storage hardware.
What about data durability and redundancy?
BHK Cloud storage volumes include built-in redundancy. For additional protection, you can configure cross-volume replication — and because there are no egress fees, replication costs are just the storage itself.
Can I migrate from AWS S3 to BHK Cloud?
Yes. Standard S3-compatible tools (rclone, s3cmd, aws-cli with custom endpoint) work with BHK Cloud storage. Migration is a one-time data transfer — and because BHK Cloud does not charge for ingress, the migration itself is free.