Can QwQ 32B run on NVIDIA RTX A6000 48 GB?

Yes. Calculated memory fit: QwQ 32B can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?: Yes, full GPU fit (calculated estimate).
Full GPU fit?: Yes
Model: QwQ 32B · 33B
GPU: NVIDIA RTX A6000 48 GB · 48 GB advertised

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights	19.1 GB
KV cache	2.0 GB
Runtime reserve	1.5 GB
Safety margin	0.8 GB
Required (estimated)	23.3 GB
GPU usable VRAM	43.2 GB

Result: FITS IN VRAM

Quantization table

Quantization	2K	4K	8K	16K	32K	40K
BF16	Offload	Offload	Offload	Offload	Offload	Offload
FP16	Offload	Offload	Offload	Offload	Offload	Offload
Q3	Fits	Fits	Fits	Fits	Fits	Fits
Q4	Fits	Fits	Fits	Fits	Fits	Fits
Q5	Fits	Fits	Fits	Fits	Fits	Fits
Q6	Fits	Fits	Fits	Fits	Fits	Fits
Q8	Fits	Fits	Fits	Fits	Limited context	Limited context

What fits entirely in VRAM?

Q3 at 16K context
Q3 at 2K context
Q3 at 32K context
Q3 at 4K context
Q3 at 40K context
Q3 at 8K context
Q4 at 16K context
Q4 at 2K context
Q4 at 32K context
Q4 at 4K context
Q4 at 40K context
Q4 at 8K context

What requires RAM offload?

Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.

Available graphics cards

These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

HP NVIDIA RTX A6000 48 GB 4DP Graphics GDDR6

48 GB · Amazon unmatched

Check availability

Lenovo

Lenovo 4X61L87571 graphics card NVIDIA RTX A6000 48 GB GDDR6

48 GB · Amazon unmatched

Check availability

Sources

Model: official config Qwen/QwQ-32B (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.