GPU model · price + stock · hourly snapshot
Nvidia V100 16GB cloud rental prices
4 providers list the Nvidia V100 16GB, 2 have it in stock. Prices run from $0.39 to $2.34 per GPU hour — the same card, 6.0x apart.
LIVE Prices and stock checked 1 minute ago
Providers
Every provider renting the Nvidia V100 16GB
| Provider | From | Stock | Grab |
|---|---|---|---|
| Verda | $0.39 | In stock | Grab |
| Paperspace | $2.34 | In stock | Grab |
| Runpod | $0.19 | Not reported | Grab |
| Lambda Labs | $0.79 | Out of stock | Grab |
In stock first, then cheapest. Stock is what the provider reported at our last check. One GPU for a month (730h) at $0.39: $285.
The Nvidia V100 16GB sells out fast. Get one email when it is back in stock.
Price history
Price trend
$0.190 /GPU/hr · Oct 22
One point per day: the lowest listed $/GPU/hr across every provider we track, captured daily. 16 offers in the latest snapshot.
Configurations
All 16 configurations
| Configuration | VRAM | Per GPU/hr | Stock |
|---|---|---|---|
| 2x V100Verda | 32 GB | $0.39 | In stock |
| 4x V100Verda | 64 GB | $0.39 | In stock |
| 1x V100Paperspace | 16 GB | $2.34 | In stock |
| 1x Tesla V100Runpod | 16 GB | $0.19 | Not reported |
| 1x V100 SXM2Runpod | 16 GB | $0.23 | Not reported |
| 8x V100Verda | 128 GB | $0.39 | Out of stock |
| 1x V100Verda | 16 GB | $0.39 | Out of stock |
| 8x V100Lambda Labs | 128 GB | $0.79 | Out of stock |
| 8x V100Lambda Labs | 128 GB | $0.79 | Out of stock |
| 8x V100Lambda Labs | 128 GB | $0.79 | Out of stock |
| 8x V100Lambda Labs | 128 GB | $0.79 | Out of stock |
| 8x V100Lambda Labs | 128 GB | $0.79 | Out of stock |
| 8x V100Lambda Labs | 128 GB | $0.79 | Out of stock |
| 8x V100Lambda Labs | 128 GB | $0.79 | Out of stock |
| 1x V100Paperspace | 16 GB | $2.34 | Out of stock |
| 1x V100Paperspace | 16 GB | $2.34 | Out of stock |
Model fit
What fits in 16 GB
The question behind most rentals: will the model load. Sized against one Nvidia V100 16GB.
| Model | 16-bit | 8-bit | 4-bit |
|---|---|---|---|
| DeepSeek-V3 DeepSeek · 671B params · 37B active | 1,610 GB 101× · 6 GB free | 805 GB 51× · 11 GB free | 403 GB 26× · 13 GB free |
| Llama 3.1 405B Meta · 405B params | 972 GB 61× · 4 GB free | 486 GB 31× · 10 GB free | 243 GB 16× · 13 GB free |
| Qwen3 235B-A22B Alibaba · 235B params · 22B active | 564 GB 36× · 12 GB free | 282 GB 18× · 6 GB free | 141 GB 9× · 3 GB free |
| Mixtral 8x22B Mistral · 141B params · 39B active | 338 GB 22× · 14 GB free | 169 GB 11× · 7 GB free | 85 GB 6× · 11 GB free |
| Mistral Large 2 Mistral · 123B params | 295 GB 19× · 9 GB free | 148 GB 10× · 12 GB free | 74 GB 5× · 6 GB free |
| gpt-oss-120b OpenAI · 117B params · 5.1B active | 281 GB 18× · 7 GB free | 140 GB 9× · 4 GB free | 70 GB 5× · 10 GB free |
| Qwen2.5 72B Alibaba · 72.7B params | 174 GB 11× · 2 GB free | 87 GB 6× · 9 GB free | 44 GB 3× · 4 GB free |
| Llama 3.3 70B Meta · 70.6B params | 169 GB 11× · 7 GB free | 85 GB 6× · 11 GB free | 42 GB 3× · 6 GB free |
| Qwen3 32B Alibaba · 32.8B params | 79 GB 5× · 1 GB free | 39 GB 3× · 9 GB free | 20 GB 2× · 12 GB free |
| Gemma 2 27B Google · 27.2B params | 65 GB 5× · 15 GB free | 33 GB 3× · 15 GB free | 16 GB 2× · 16 GB free |
| Mistral Small 3 Mistral · 24B params | 58 GB 4× · 6 GB free | 29 GB 2× · 3 GB free | 14 GB 1× · 2 GB free |
| Llama 3.1 8B Meta · 8B params | 19 GB 2× · 13 GB free | 10 GB 1× · 6 GB free | 5 GB 1× · 11 GB free |
Required memory is weights plus 20% for KV cache and runtime at short context; long contexts and large batches need more. Cells tinted green fit on a single Nvidia V100 16GB.
Specifications
Nvidia V100 16GB specifications
| Architecture | Volta |
|---|---|
| Memory per GPU | 16 GB HBM2 |
| Memory bandwidth | 900 GB/s |
| Release date | Q2 2017 |
| GPU interconnect | NVLink 300 GB/s |
| FP16 / BF16 compute rate | 125 TFLOPS (dense) |
| Process node | TSMC 12nm FFN |
| Board power | 300 W |
Alternatives