# GPU Cloud Rate Monitor – Runpod & Lambda Price Changes — workflow

## Choose this tool

AI agencies, infrastructure buyers and capacity researchers comparing advertised compute rates before requesting capacity or quoting workloads.

Useful output columns: `title`, `provider`, `gpuName`, `tier`, `gpuCount`, `vramGbPerGpu`, `usdPerGpuHour`, `usdPerInstanceHour`, `rateTiming`.

## Practical workflow

Choose Runpod or Lambda and literal GPU name phrases. Compare like-for-like tiers and GPU counts; check rateTiming before budgeting. Export evidence to your procurement sheet or run the same snapshot sequentially to track price changes.

## Check the fit

Public advertised and announced rates, not bookable capacity or a guaranteed quote. Lambda may publish future effective rates; logged-in current pricing is excluded. Runpod covers structured on-demand Pod offers with matching configuration cards; MIG partitions, serverless, spot and clusters are excluded. GPU/VRAM units and instance counts stay explicit; no performance equivalence across different cards is implied.

## Real output sample

One selected row from a 2026-11-08 run. Selected original scalar fields from one actual saved observation; nested data and private artifact links are omitted.

Run: y52rArEDHGl0ukjP9. Summary status: ok. Incomplete: false.

Dated bounded release evidence for this exact input and build. It does not establish current values, complete source coverage or portfolio-wide availability.

```json
{
  "recordId": "runpod:9fdb3672fa6f07ec76c4e18b9eba",
  "title": "H100 PCIe · 80 GB · community · 1 GPU",
  "provider": "runpod",
  "gpuName": "H100 PCIe",
  "tier": "community",
  "gpuCount": 1,
  "vramGbPerGpu": 80,
  "usdPerGpuHour": 1.99,
  "usdPerInstanceHour": 1.99,
  "rateTiming": "advertised_undated",
  "rateEffectiveAt": null,
  "usdPerGpuHourChange": null,
  "comparisonStatus": "not_requested",
  "sourceUrl": "https://www.runpod.io/pricing"
}
```