What GPU do I need to run PrunaAI/P-H3-Image?
33.1B parameters, published in BF16. View on Hugging Face
Set up P-H3-ImageP-H3-Image is published by PrunaAI on Hugging Face, with 1,016 downloads and 183 likes to date. It's a unlisted-architecture model built for text-to-image, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for activation memory and allocator fragmentation. Diffusion and video models carry no KV-cache. The real driver of extra memory is output resolution and frame count, which this flat overhead does not model. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 61.7 GB | 74.0 GB | RTX PRO 6000 | 1 | $1.38/hr |
| cheaper alt. | RTX 3090 | 4 | $0.647/hr | ||
| FP8 (quantized) | 30.8 GB | 37.0 GB | L40 | 1 | $0.853/hr |
| cheaper alt. | RTX 5060 Ti | 3 | $0.612/hr | ||
| INT4 (quantized) | 15.4 GB | 18.5 GB | RTX 3090 | 1 | $0.162/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run P-H3-Image at its published (BF16) precision: 1× RTX PRO 6000, at $1.38/hr per GPU ($1.38/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
P-H3-Image: common questions
Can P-H3-Image run on a single GPU?
Yes, but not on a desktop card. At BF16 it needs 74.0 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest live single-card fit is a 95.0 GB RTX PRO 6000 at $1.38/hr.
What is the least VRAM P-H3-Image can run in?
18.5 GB, at INT4 (quantized), which fits a 24 GB card, against 74.0 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Does quantizing P-H3-Image lower the GPU bill?
Yes. At BF16 the cheapest live fit is one RTX PRO 6000 at $1.38/hr. At INT4 (quantized) it drops to one RTX 3090 at $0.162/hr, provided a quantized checkpoint exists for it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More MiniMax H3 models
- MiniMax-H3 (33.1B, BF16)
- Pika-H3-Flex (33.1B, BF16)
- FastVideo-Minimax-FastH3-Preview-v0.2 (35.0B, BF16)
- FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree (35.0B, BF16)
- MiniMax-H3-Prompt-Rewriter-Qwen3.8-27B-Ref2VA (27.4B, BF16)
Lineage
Based on MiniMax-H3.
More on P-H3-Image
Fits on an 80 GB GPU at BF16: every model that fits in 80 GB.
Fits on a 48 GB GPU at FP8: every model that fits in 48 GB.
Fits on a 24 GB GPU at INT4: every model that fits in 24 GB.
Related reading: RTX PRO 6000 pricing and specs, Fast diffusion inference on GPU VMs, What AI inference is, and What AI model fine-tuning is.
