Zettar drains each vehicle inside its offload window at line rate — about 10× faster than typical movers — then streams that data into your pipeline at line rate. Collection stops outrunning compute, and the daily backlog clears.
At line rate, scaling out with no software ceiling, Zettar empties on-vehicle storage in the gap between drives — about 10× faster than typical commercial and freeware movers.
zx Streaming ingests live data at line rate — scaling out with no software ceiling — in parallel as it is produced, instead of waiting for a full copy to finish.
Unconditional checksums and TLS run inline, so every transfer is verified end to end. The same engine moves a real fleet's daily data from vehicles to the datacenter — reliably, on schedule.
Data arrives when training needs it. No staging queue, no overnight catch-up — collection and compute stay in lockstep so the program keeps moving.
"Zettar moved an actual petabyte over a 5,000-mile network loop in 29 hours — with encryption and checksumming — at 96% bandwidth utilization."
At line rate — it fills whatever bandwidth the offload bay provides, scaling out with no software ceiling, so each vehicle drains inside its window.
Yes — zx realizes ~90%+ of whatever bandwidth is available, even shared or intermittent links, so constrained sites stop wasting capacity.
Yes — scale out by adding nodes; aggregate throughput grows with the fleet, with no software ceiling.
Every transfer is encrypted with TLS and protected by unconditional end-to-end checksums — no silently corrupted sensor data.
Yes — file and object movement from vehicle to storage to HPC and cloud, in native formats with no lock-in.
Put line-rate movement between your fleet and your training pipeline. See how Zettar drains each vehicle in its window and keeps collection and compute in lockstep — every day.