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RTX 4090 24GB for MiniMax H3: Speed, VRAM & Recommended Setup

24GB GDDR6X · bandwidth 1008 GB/s · Ada · sm_89 · estimated with 32GB RAM / fast-disk · updated 2026-09-28

Verdict: Recommended: 416 × 256 · 10s, ~1 min 11 s per clip (VRAM peak ~23GB). See the table for higher tiers.
Size (16:9)5s8s10s15s
416 × 256
0.1MP · flicker-prone
1 min 6 s
VRAM 23G
1 min 9 s
VRAM 23G
1 min 11 s
VRAM 23G
⚠ 1 min 17 s
VRAM 23G
864 × 480
0.4MP
⚠ 1 min 27 s
VRAM 23G
⚠ 2 min
VRAM 23G
⚠ 2 min 28 s
VRAM 23G
⚠ 3 min 57 s
VRAM 23G
960 × 544
0.5MP
⚠ 1 min 41 s
VRAM 23G
⚠ 2 min 29 s
VRAM 23G
⚠ 3 min 10 s
VRAM 23G
⚠ 5 min 26 s
VRAM 23G
1152 × 640
0.7MP
⚠ 2 min 13 s
VRAM 23G
⚠ 3 min 41 s
VRAM 23G
⚠ 4 min 59 s
VRAM 23G
⚠ 9 min 27 s
VRAM 23G
1344 × 768
1.0MP · official max
⚠ 3 min 10 s
VRAM 23G
⚠ 5 min 54 s
VRAM 23G
⚠ 8 min 26 s
VRAM 23G
⚠ 17 min 43 s
VRAM 23G
1376 × 768
1.0MP · above native
⚠ 3 min 15 s
VRAM 23G
⚠ 6 min 7 s
VRAM 23G
⚠ 8 min 46 s
VRAM 23G
⚠ 18 min 35 s
VRAM 23G
1920 × 1088
2.0MP · above native
⚠ 8 min 47 s
VRAM 23G
⚠ 20 min 57 s
VRAM 23G
⚠ 33 min 28 s
VRAM 23G
⚠ 1.4 h
VRAM 23G

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 416 × 256 · 10s at ~1 min 11 s per clip. To unlock 2.0MP and full durations: step up to a 32GB card (e.g. 5090), or use a smaller quant (GGUF Q3/Q4).

Recommended combo (Quality tier (24GB VRAM))

768p-1080p 5-10s; 8-20 steps; 2-10 min per clip

24GB needs almost no layer-by-layer offloading; measured INT8 vs bf16 quality gap is about 0.9% quantization error

FAQ

Can the RTX 4090 24GB run MiniMax H3?

Yes. Estimated with 32GB RAM + fast-disk: 416×256·10s at ~1 min 11 s per clip. Configs that exceed VRAM fall back to weight offloading (slower, but they still render).

How fast is H3 on the RTX 4090 24GB?

About 1 min 11 s per 416×256·10s 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 32GB 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 4090 24GB pre-filled)

Same tier: RTX 3090 24GB · RTX 4070 Ti Super 16GB · RTX 4080 16GB · RTX 4080 32GB (modded) · RTX 4080 Super 16GB · RTX 4080 Super 32GB (modded) · RTX 4090 D 24GB · RTX 4090 48GB (modded)

Related: Hardware guide · Acceleration compared · 8GB VRAM setups