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RTX 2080 Ti 22GB (modded) for MiniMax H3: Speed, VRAM & Recommended Setup

22GB GDDR6 · bandwidth 616 GB/s · Turing · sm_75 · estimated with 32GB RAM / fast-disk · updated 2026-09-20

Verdict: Recommended: 1920 × 1088 · 8s, ~56 min 17 s per clip (VRAM peak ~21GB). See the table for higher tiers.
Size (16:9)5s8s10s15s
416 × 256
0.1MP · flicker-prone
2 min 5 s
VRAM 17G
2 min 20 s
VRAM 17G
2 min 31 s
VRAM 18G
2 min 60 s
VRAM 18G
864 × 480
0.4MP
3 min 26 s
VRAM 19G
4 min 48 s
VRAM 20G
6 min 1 s
VRAM 20G
9 min 57 s
VRAM 21G
960 × 544
0.5MP
3 min 60 s
VRAM 19G
6 min 5 s
VRAM 21G
7 min 54 s
VRAM 21G
13 min 56 s
VRAM 21G
1152 × 640
0.7MP
5 min 21 s
VRAM 20G
9 min 16 s
VRAM 21G
12 min 43 s
VRAM 21G
24 min 50 s
VRAM 21G
1376 × 768
1.0MP · above native
8 min 6 s
VRAM 21G
15 min 48 s
VRAM 21G
22 min 59 s
VRAM 21G
49 min 46 s
VRAM 21G
1920 × 1088
2.0MP · above native
23 min 1 s
VRAM 21G
56 min 17 s
VRAM 21G
✕ 1.5 h
VRAM 21G
✕ 3.9 h
VRAM 21G

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.

Recommended combo (Blackwell-specific (50-series 16GB+))

768p 5s; 4-8 steps; 1-5 min per clip

NVFP4 requires sm_120; SLA / VSA sparse attention can speed things up further (1.4-1.75x on long clips, see the attention options in step 2)

FAQ

Can the RTX 2080 Ti 22GB (modded) run MiniMax H3?

Yes. Estimated with 32GB RAM + fast-disk: 1920×1088·8s at ~56 min 17 s per clip. Configs that exceed VRAM fall back to weight offloading (slower, but they still render).

How fast is H3 on the RTX 2080 Ti 22GB (modded)?

About 56 min 17 s per 1920×1088·8s 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 4-step v1.1 768p), 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 2080 Ti 22GB (modded) pre-filled)

Same tier: GTX 1050 Ti 4GB · GTX 1060 6GB · GTX 1070 8GB · GTX 1080 8GB · GTX 1080 Ti 11GB · RTX 2060 6GB · RTX 2060 12GB · RTX 2060 Super 8GB

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