Preprocessing.
Where your data lives.
Processing platforms move your data into their storage and bill you for the trip — egress on the way in, per-GB markup on the way out, GPU hours while CPU-bound prep waits. SentraZero runs the same pipelines where your data lives: 0 bytes moved, and prep spreads across your fleet instead of rented GPU hours.
Same pipelines. Where your data lives. Zero bytes moved.
Move compute
to data
See the real cost difference between moving data to a processing platform and sending the work to where the data lives.
Move data
to compute
A processing platform pulls your raw data into its storage, then bills for the trip. Egress on the way in, per-GB markup on the way out, GPU hours while CPU-bound prep waits.
- $0.12/GB egress fees
- $0.08/GB-hr compute markup
- Per-row / per-chunk pricing
- Raw data replicated into the platform
Move compute
to data
A 12–15 MB agent runs where your data lives — a local mount or an S3-compatible bucket. 0 bytes moved; only outcome metadata and audit logs reach the control plane.
- 0 bytes moved, processing where your data lives
- Your fleet, already paid for
- Flat pricing on data volume
- Data never leaves your storage
Four structural
advantages
Where moving data to a processing platform quietly bleeds your budget, and why SentraZero doesn't.
Raw data stays in your storage.
Flat pricing on data volume, not per-GB.
One 12–15 MB binary, nothing else to install.
Compliance-ready architecture.
Your workload, your savings
Punch in your data volume and see in seconds what running SentraZero on machines you already own is worth.
Egress $0.09/GB, AWS first 10 TB
Compute at $0.52/GB (metered cloud + rented GPU avg), egress at $0.09/GB (AWS first 10 TB)
Rates are 2026 list prices: egress per AWS / Azure / GCP internet transfer tiers (AWS $0.09/GB, Azure $0.087/GB, GCP $0.12/GB, first 10 TB), compute is a combined average — metered cloud (AWS Glue $0.44/DPU-hr ≈ $0.40/GB; Databricks pipeline benchmarks $0.08–$0.50/GB) plus rented GPU pipelines (median on-demand rentals: 4090 $0.44, A100 $1.86, H100 $3.39 per GPU-hr at ~3 GB of pipeline input per GPU-hr ≈ $0.63/GB) — averaged to one per-GB rate. Throughput is the one assumption; tell us your real numbers and we'll re-run it.
Your machines are already paid for. Metered cloud or rented GPUs — either way you pay for processing and for moving your data. The SentraZero agent runs the same pipelines distributed across your existing machines, where your data lives, so the per-GB egress and per-hour compute lines you pay today stop being the thing you buy. You still run the work on hardware you already own. We'll validate the estimate against your real bill.
No commitment, we reply within 24 hours
Cost
comparison
Your infrastructure is already paid for. Moving data to a processing platform is pure markup.
Cost estimates based on AWS us-east-1 public pricing (S3 egress + EC2 compute-optimized). See what moving data to a processing platform costs you today in the calculator above.
What about
GPUs?
Renting or buying GPUs to preprocess datasets is expensive — and measured GPU utilization says most of that capacity sits idle waiting on the CPU.
Utilization: ~5% average SM utilization across 23,000 enterprise GPU clusters (Cast AI, 2026); ≤50% average GPU utilization across Microsoft production jobs, with 46% of idle time traced to data operations. GPU rates: 2026 on-demand medians (RunPod / Lambda / Vast.ai).
Four structural
cost advantages
Where moving data to a processing platform quietly bleeds your budget, and why SentraZero doesn't.
No egress between environments
Processing platforms charge $0.08–$0.12/GB to move data between environments. SentraZero processes data where it lives, so nothing moves. For a 1 TB monthly workload, that's $120+/month of egress alone when data crosses environments — plus the per-GB markup SentraZero also removes. Data already in a cloud object store? The egress line may not apply — the markup and GPU prep hours do.
No per-GB processing markup
Processing platforms add a 30–50% markup over bare-metal equivalents on top of per-GB billing. SentraZero runs on infrastructure you already own with flat pricing on data volume. Your marginal cost for additional processing is near zero.
No metered billing
Processing platforms charge per API call, per row, or per chunk. SentraZero runs on hardware you already own with flat pricing on data volume — no per-call, per-row, or per-chunk meter.
No GPU rental for prep
Renting a GPU to preprocess datasets runs $0.44–$3.39 per GPU-hour on top of egress — and buying one costs $1.6K to $285K. SentraZero distributes prep across machines you already own, so the GPU hours you rent for prep drop. The GPUs stay — they just stop being wasted on CPU work. Distributed compute lessens GPU load: fewer GPU hours, less idle wait.
Run the pipelines,
in place.
Deploy one 12–15 MB agent, connect a local mount or an S3-compatible bucket, and run the same pipelines in place. 0 bytes moved — only outcome metadata and audit logs reach the control plane.