Home / Models / DeepSeek R1 Distill Qwen 32B / NVIDIA RTX 2080 SUPER 8 GB

Calculated memory fit · not a benchmark

Can DeepSeek R1 Distill Qwen 32B run on NVIDIA RTX 2080 SUPER 8 GB?

Can it run? Yes, with CPU/RAM offload. Full GPU fit? No.

Can it run?

Can it run?
Yes, with CPU/RAM offload. This is not equivalent to full-GPU inference.
Full GPU fit?
No
Model
DeepSeek R1 Distill Qwen 32B · 33B
GPU
NVIDIA RTX 2080 SUPER 8 GB · 8 GB advertised

Memory calculation

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

Model weights19.1 GB
KV cache2.0 GB
Runtime reserve1.5 GB
Safety margin0.8 GB
Required (estimated)23.3 GB
GPU usable VRAM7.2 GB

Result: DOES NOT FIT

Quantization table

Quantization2K4K8K16K32K64K128K
BF16NoNoNoNoNoNoNo
FP16NoNoNoNoNoNoNo
Q3OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q4NoNoNoNoNoNoNo
Q5NoNoNoNoNoNoNo
Q6NoNoNoNoNoNoNo
Q8NoNoNoNoNoNoNo

What fits entirely in VRAM?

No calculated full-VRAM fit at the evaluated quantizations and context lengths.

What requires RAM offload?

Weights may run with CPU/RAM offload. That is not equivalent to full-GPU inference. RigForAI does not estimate tokens/sec in this release.

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.

Sources

Model: official config deepseek-ai/DeepSeek-R1-Distill-Qwen-32B (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: DOES_NOT_FIT. Amazon: affiliate commerce match, not a spec source.