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RTX 5090 D 32GB for MiniMax H3: Speed, VRAM & Recommended Setup
| Size (16:9) | 5s | 8s | 10s | 15s |
|---|---|---|---|---|
| 416 × 256 0.1MP · flicker-prone | 41 s VRAM 23G | 46 s VRAM 24G | 50 s VRAM 24G | 59 s VRAM 24G |
| 864 × 480 0.4MP | 1 min 8 s VRAM 25G | 1 min 34 s VRAM 26G | 1 min 56 s VRAM 27G | 3 min 6 s VRAM 29G |
| 960 × 544 0.5MP | 1 min 18 s VRAM 25G | 1 min 57 s VRAM 27G | 2 min 30 s VRAM 28G | 4 min 16 s VRAM 30G |
| 1152 × 640 0.7MP | 1 min 44 s VRAM 26G | 2 min 54 s VRAM 29G | 3 min 55 s VRAM 30G | 7 min 28 s VRAM 31G |
| 1344 × 768 1.0MP · official max | 2 min 29 s VRAM 28G | 4 min 39 s VRAM 31G | 6 min 39 s VRAM 31G | 14 min VRAM 31G |
| 1376 × 768 1.0MP · above native | 2 min 33 s VRAM 28G | 4 min 50 s VRAM 31G | 6 min 55 s VRAM 31G | 14 min 41 s VRAM 31G |
| 1920 × 1088 2.0MP · above native | 6 min 56 s VRAM 31G | 16 min 34 s VRAM 31G | 26 min 27 s VRAM 31G | 1.1 h VRAM 31G |
Times are per whole clip (model load and text encoding included); the first run is slower due to kernel compilation. ⚠ = weight offloading / noticeably slower; ✕ = not recommended.
Reading the numbers
With the recommended combo, the green (no disk spill) ceiling is 1920 × 1088 · 15s at ~1.1 h per clip. Already top-tier: stack 4–8 step distillation with Sage/Kitchen attention; for very long clips try SLA / VSA sparse attention.
Recommended combo (Flagship tier (32GB+ VRAM))
- Main model: minimax_h3_fl2va_pruned_int8_convrot.safetensors（20.97GB）
- Text encoder: qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors（15.69GB）
- Acceleration: LightX2V Turbo 8-step v1.0 · ~2.08× sampling
- Launch flags:
--fast-disk
1344x768 full length 5-15s; 4-8 steps; ~80s end-to-end for a 3s clip (measured on our 5090)
FAQ
Can the RTX 5090 D 32GB run MiniMax H3?
Yes. Estimated with 32GB RAM + fast-disk: 1920×1088·15s at ~1.1 h per clip. Configs that exceed VRAM fall back to weight offloading (slower, but they still render).
How fast is H3 on the RTX 5090 D 32GB?
About 1.1 h per 1920×1088·15s clip (including model load and encoding). Longer or denser clips scale quadratically in the attention term.
How much RAM do I need?
At least 64GB of system RAM recommended (minimum 48GB plus a 16GB pagefile). With 32GB, always enable --fast-disk or weights spill into the pagefile.
How can I make it faster?
Stack step distillation (e.g. LightX2V Turbo 8-step v1.0), enable SageAttention / Kitchen attention; for long clips try SLA / VSA sparse attention. All of it is switchable in step 2 of the calculator.
→ Run the numbers for your RAM and budget in the calculator (RTX 5090 D 32GB pre-filled)
Same tier: RTX 5090 32GB · RTX 5090 D V2 24GB
Related: Hardware guide · Acceleration compared · 8GB VRAM setups