Slow data movement bills you three ways: idle machines you pay for by the hour, people who sit waiting on data that hasn’t arrived, and the power those machines burn doing nothing. Pick your industry for realistic starting numbers, then adjust to yours.
These are starting estimates — tap the iEvery field has an info icon explaining where the starting number comes from and its source. The defaults are reference figures for a mid-to-large deployment, not your environment — type your own values into any field, including a custom percentage for time waiting. icon on any field for its basis and source, and type your own numbers into any field. Machine and people costs both scale with the share of time work stalls on data; Zettar’s job is to drive that toward zero by moving data at line rate. “Time waiting on data” here is the data-movement slice of GPU idle — the part Zettar can recover — not total GPU idle, which runs far higher (often 50%+) from scheduling and over-provisioning we don’t address. Where slow data adds up → · Get a measured estimate →
A GPU waiting on a checkpoint is the most expensive idle resource in your datacenter — but a scientist waiting on a sequencing run, an artist on the dailies, or an analyst on the overnight risk batch is a cost too, and often the bigger one. And every machine left on to wait still draws power and emits carbon for nothing. Zettar moves the data at line rate so none of it is wasted.
Zettar — Data-movement business caseWhat Zettar returns: line rate keeps machines fed and people working — recovering most of this cost — plus the discoveries, decisions, and deadlines that no longer slip. Proven: 1 PB in 29 hours at 96% utilization with SLAC and the U.S. DOE.
Next step: zettar.com — schedule a demo for a measured estimate on your environment.
Two costs: idle machines (their count times cost per machine-hour times the share of time they wait on data, across a year) plus people waiting (your team times loaded cost per hour times the same data-stall share). Pick your industry for realistic starting numbers, then adjust every field to yours.
Because waiting on data is not only a machine cost. A scientist waiting on a sequencing run, an artist on the dailies, or an analyst on the overnight risk batch is a cost too, and often the bigger one. Zettar moves data at line rate so neither sits idle.
Yes — the calculator builds a one-page business case you can download or print, with your inputs, the cost breakdown, and what Zettar returns. Book a demo for a measured estimate on your environment.
Run the figures, download the business case, and we’ll validate them against your real environment.