Paralleliq — GPU Fleet Efficiency for AI Teams
General AIAccording to AlphaMoat, in 2026-08 Paralleliq — GPU Fleet Efficiency for AI Teams (paralleliq.ai) received 2,172 monthly visits (+4.7% MoM) — ranked #15,026 of 17,413 AI websites with traffic data, and #1,867 of 2,187 in General AI; its largest market is United States (100.0% of visits).
What is Paralleliq — GPU Fleet Efficiency for AI Teams
A GPU fleet efficiency platform for AI teams that identifies reclaimable 20%-40% compute waste and gives fix recommendations, with full audit trails on every change and human approval required before execution; model weights and inference data always stay in the customer environment, with the platform receiving only runtime metrics.
- 01GPU waste identification
- 02risk-signal early warning
- 03fix-recommendation output
- 04change audit trails
- 05manual-approval execution gate
- 06open-source piqc cluster inspection
Open-source component piqc is permanently free ($0); the managed platform is custom-quoted by fleet size, with no specific numbers public.
12-Month Traffic Trend
Visits by Country · Top 5
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Data month: 2026-08 · Visit figures are third-party traffic estimates aggregated monthly — best for scale and trends. Multiple domains of the same product are merged. See methodology.