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Deterministic VRAM fit · not a benchmark

Find a GPU for your AI model

Choose a model, quantization and context size. The calculator returns GPUs that can hold the estimated memory entirely in VRAM, then maps those chips to real product SKUs and Amazon listings. This does not rank speed.

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Assumptions used

Model
Qwen3 235B-A22B
Quantization
Q4 (default for this form)
Context
8K (default for this form)
Required VRAM
151.2 GB

1 canonical GPUs fit entirely in VRAM under these assumptions.

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Lowest-cost full-VRAM option

Sorted by lowest current Amazon price among GPUs that fit entirely in VRAM. This is not a performance ranking.

No compatible GPU currently has a fresh Amazon price.

More VRAM headroom

Sorted by leftover usable VRAM after the calculated requirement. Headroom is not tokens/sec.

NVIDIA

NVIDIA B200 192 GB

GPU VRAM
192 GB advertised
Required VRAM
151.2 GB
Usable GPU VRAM
172.8 GB
VRAM headroom
21.6 GB — leftover usable memory after the calculated requirement, not a speed ranking
Compatible
Yes — fits entirely in VRAM
Product SKUs
0 mapped · 0 Amazon-matched
Amazon
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