CoreWeave. Lambda. RunPod. Vast.ai. TensorDock. No more manual spreadsheet wrangling — connect once and get a real-time spend picture across all your providers.
Most teams have no idea what they're spending per GPU model or provider. Unified Billing fixes that.
Most teams leak GPU spend to fragmented billing across providers. Unified Billing finds it — here's the math.
Pay per tier, get unlimited team members on Business and Enterprise.
Sample rollup from a customer running Inference + Vision + Batch across three providers — illustrative, for shape only.
| Team | Workload | Provider | 30-day Spend | % of Total | Top GPU |
|---|---|---|---|---|---|
| Inference | LLM serving (prod) | CoreWeave | $48,200 | 38% | H100 |
| Vision | Image generation training | Lambda Labs | $31,500 | 25% | A100 |
| Batch Jobs | Nightly data processing | RunPod | $24,100 | 19% | L40S |
| Research | Fine-tuning experiments | Vast.ai | $14,800 | 12% | H200 |
| Customer-Facing API | Realtime inference | CoreWeave | $8,500 | 6% | B200 |
| Want per-team attribution and chargeback rules? → See GPU Spend Chargeback ($149/mo) | |||||