Why This Product
Consulting on university GPU clusters, we heard the same question over and over:
> "Ten departments share one cluster — is there a way to settle costs without disputes?"
The conventional approach: at month's end, the ops team runs sacct and assembles the numbers in Excel. It takes days, and disputes break out between departments every month.
Luxe Vantage's Design Decisions
Decision 1 — Usage definition: not GPU-hours, but a weighted average of GPU, memory, and time.
If you treat a job holding a GPU for 24 hours at 10% utilization the same as a job holding it for 4 hours at 90% utilization — as a single GPU-hour each — the incentives break. We add `(allocated_gpu × wall_time) + α × (mem_peak / mem_total) × wall_time` on top of the base rate.
Decision 2 — Priority queues get a separate rate.
The urgent queue is 1.5× the standard queue. When a user requests priority, the system shows the added cost immediately. The result: only genuinely urgent jobs enter the urgent queue.
Decision 3 — Invoices are PDFs, but the data is always viewable.
Departments receive a month-end PDF, but they always see real-time running totals in Vision's finance team view. This prevents "surprise bill at month's end" incidents.
Implementation
- Data sources: Slurm sacct (batch) + Kubernetes (Volcano + Prometheus) + Spectrum Scale usage. - Rate policy: a matrix by department, project, and time-of-day. Importable via CSV. - Output: PDF + CSV + REST API (integration with finance systems).
Case Results
/case-studies/gpu-chargeback-multi-dept — 8 departments, 90% reduction in settlement work, department satisfaction 4.7/5.
Apply for the Beta
/products/luxe-vantage — closed beta in progress.