GPU MODELS / V100 32GB
V100 32GB cloud GPU pricing
9 listings across 9 providers. Cheapest published rate: $0.090/GPU/hr at SpotGPUs. Sorted by per-GPU hourly price. Every row links to the provider's own published price.
| Provider | Config | VRAM | Location | $/hr | $/GPU/hr | Source |
|---|---|---|---|---|---|---|
| V100 32GB × 1 | 32 GB | Not published | $0.090 | $0.090 | receipt | |
| V100 32GB × 1 | 32 GB | Not published | $0.140 | $0.140 | receipt | |
| V100 32GB × 1 | 32 GB | China | $0.196 | $0.196 | receipt | |
| V100 32GB × 1 | 32 GB | China | $0.294 | $0.294 | receipt | |
| V100 32GB × 1 | 32 GB | Multiple regions | $0.420 | $0.420 | receipt | |
| V100 32GB × 1 | 32 GB | India | $0.563 | $0.563 | receipt | |
| V100 32GB × 1 | 32 GB | China | $2.284 | $2.284 | receipt | |
| V100 32GB × 1 | 32 GB | China | $2.306 | $2.306 | receipt | |
| V100 32GB × 8 | 32 GB | US East (N. Virginia) | $31.212 | $3.901 | receipt |
THE V100 32GB MARKET, BY THE NUMBERS
9 providers publish 9 V100 32GB configurations on the panel today. Published per-GPU hourly rates run from $0.090 (SpotGPUs) to $3.90 (AWS), a 43x spread between the cheapest and the most expensive published rate for the same chip. The median listing sits at $0.42/GPU/hr. 4 rows were reported in stock by the provider at last observation; the rest are published catalog rates. All rates are on-demand - committed-use and reserved pricing is excluded.
Across every V100 32GB row on the panel, the daily floor moved from $0.420 to $0.090/GPU/hr over 10 days of tracking (-78.6%). Snapshots run daily; the full history is public in the repo.
At the current floor, one V100 32GB running around the clock costs about $66 a month (730 hours of on-demand arithmetic). Node shape matters: the single-GPU floor is $0.090/GPU/hr against $3.901/GPU/hr on an 8-GPU node (+4235.0%). Per-GPU floors by config size: 1x $0.09 · 8x $3.90. Compare the alternatives below before committing - the same budget often buys more than one chip class.
V100 32GB PRICING FAQ
See also cheapest GPU-hour per model · inference chips · training chips · by location