Wan2.2 T2V A14B
Needs 33 GB at FP8 / INT8. The smallest real configuration today is 2× Tesla V100 32GB at Vast.ai, $0.14 per hour, about $99 a month at 730 hours.
- Per hour
- $0.14
- Per month
- $99
- Cheapest at
Vast.ai
How much VRAM it needs
Weights plus 20% runtime overhead. For video models, activations also depend on resolution, clip length and batch size; the study's per-GPU estimates below give the practical configuration.
| Precision | Weights | Weights + headroom |
|---|---|---|
| BF16published checkpoint | 114 GB | 138 GB |
| FP8 / INT8estimated | 27 GB | 33 GB |
| INT4 / MXFP4estimated | 16 GB | 20 GB |
What it costs to run, GPU by GPU
The fewest GPUs of one type whose total memory fits the model at short context, priced from the cheapest eligible on-demand offer for exactly that count (45-day window, newest reading per provider), with the next providers beside it. Monthly = 730 hours.
| GPU | Smallest config | VRAM used | $ / hour | $ / month | Cheapest at |
|---|---|---|---|---|---|
| Tesla V100 32GBBest fit | 2× 32 GB64 GB total | 51% | $0.14 | $99 | |
| T4 | 4× 16 GB64 GB total | 51% | $0.16 | $117 | |
| RTX 3060 | 4× 12 GB48 GB total | 68% | $0.16 | $119 | |
| Tesla P100 | 4× 16 GB64 GB total | 51% | $0.19 | $138 | |
| RTX 3090 | 2× 24 GB48 GB total | 68% | $0.21 | $157 | |
| Quadro RTX 8000 | 1× 48 GB48 GB total | 68% | $0.25 | $186 | |
| RTX 6000 | 2× 24 GB48 GB total | 68% | $0.27 | $196 | |
| Titan RTX | 2× 24 GB48 GB total | 68% | $0.27 | $196 | |
| Titan Xp | 4× 12 GB48 GB total | 68% | $0.27 | $196 | |
| L40 | 1× 48 GB48 GB total | 68% | $0.27 | $196 | |
| RTX 2080 Ti | 4× 11 GB44 GB total | 74% | $0.28 | $202 | |
| RTX A6000 | 1× 48 GB48 GB total | 68% | $0.33 | $241 | GPURentonot scored · read Nov 1 · receipt · also gcube $0.34, Thunder Compute $0.35 |
| A100 40GB | 1× 40 GB40 GB total | 81% | $0.34 | $246 | |
| A40 | 1× 48 GB48 GB total | 68% | $0.35 | $255 | GPURentonot scored · read Nov 1 · receipt · also Vast.ai $0.48, Exoscale $1.05 |
| RTX 5060 Ti | 4× 16 GB64 GB total | 51% | $0.35 | $258 | |
| RTX A4000 | 4× 16 GB64 GB total | 51% | $0.36 | $266 | |
| RTX 3080 | 4× 10 GB40 GB total | 81% | $0.38 | $274 | |
| RTX A5000 | 2× 24 GB48 GB total | 68% | $0.38 | $274 | |
| RTX 4070 Super | 4× 12 GB48 GB total | 68% | $0.38 | $274 | |
| Tesla V100 16GB | 4× 16 GB64 GB total | 51% | $0.38 | $275 | |
| RTX 6000 Ada | 1× 48 GB48 GB total | 68% | $0.40 | $290 | |
| Quadro RTX 5000 | 4× 16 GB64 GB total | 51% | $0.40 | $294 | |
| RTX 3090 Ti | 2× 24 GB48 GB total | 68% | $0.42 | $304 | |
| L40S | 1× 48 GB48 GB total | 68% | $0.43 | $314 | |
| The 24 cheapest of 74 GPU types that fit. Every GPU, any precision and context, in the finder | |||||
Estimated speed, in min per clip
Video. Speed estimated from memory bandwidth and model size, never measured. The cost per video second is the study's own estimate at the prices it read on 2026-10-04; it is not recomputed here.
| GPU | Cards | Precision | min per clip | per video second · study estimate |
|---|---|---|---|---|
| RTX 5090 | 2 | FP8 | 21.9 | $0.069 |
| RTX 4090 | 4 | FP8 | 22.8 | $0.069 |
| RTX PRO 6000 | 1 | FP8 | 25.0 | $0.095 |
| L40S | 2 | FP8 | 30.5 | $0.110 |
| H100 SXM | 1 | FP8 | 20.0 | $0.122 |
| H100 PCIe | 1 | FP8 | 27.5 | $0.122 |
| B200 | 1 | FP8 | 10.0 | $0.137 |
| A100 80GB | 1 | BF16 | 46.9 | $0.147 |
| H200 | 1 | FP8 | 18.8 | $0.154 |
| MI300X | 1 | FP8 | 28.8 | $0.156 |
