Measured 2026-08-18 on one machine (RTX PRO 6000 Blackwell fenced to smaller cards with a VRAM balloon, RAM fenced with cgroups), MiniMax-H3 W4A8 DiT, MAINodes H3 Streamed Blocks (exact), ComfyUI dynamic VRAM, --fast-disk, PyTorch flash attention. Hover a point. Frames are at 1376x768; other canvases scale by tokens.
Points
frames
tokens
card
machine
graph
torch peak
VRAM peak
RSS
note
90
28k
16 GB
64 GB
single pass
1.8
15.7
14.3
TE matrix A, 25 steps
90
28k
24 GB
64 GB
single pass
1.8
23.0
9.4
TE matrix A, 25 steps
702
214k
16 GB
32 GB
single pass
11.9
15.5
27.4
line sweep, 2 steps
702
214k
16 GB
64 GB
single pass
11.9
15.5
27.4
line sweep, 2 steps
702
214k
24 GB
32 GB
single pass
11.9
23.5
25.8
line sweep, 2 steps
702
214k
24 GB
64 GB
single pass
11.9
23.4
25.8
line sweep, 2 steps
702
214k
31 GB
64 GB
de-rope pipeline
11.9
25.2
40.2
v014: bank, fast-disk, balloon 63
702
214k
32 GB
64 GB
de-rope pipeline
11.9
33.9
36.4
v012: planner+cap card
702
214k
32 GB
96 GB
de-rope pipeline (no fast-disk)
11.9
34.0
59.4
v011: normal mode, no fast-disk
906
276k
16 GB
32 GB
single pass
-
-
-
OOM
906
276k
16 GB
64 GB
single pass
-
-
-
OOM
906
276k
24 GB
32 GB
single pass
14.9
23.4
29.8
line sweep, 2 steps
Reading it: VRAM needed = resident weights (dynamic VRAM shrinks these to a few GB when it must) + the blue line + ~1 GB context; a card fits while that stays under it. RAM needed = the RSS series for your graph type + your OS and ComfyUI headroom, which you know and we do not.