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Can Tesla P4 8GB run Qwen3-8B?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · Alibaba · 8.2B · model ctx up to 128K

CC · WorkableComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA

Yes — the Tesla P4 8GB (8 GB GDDR5) can run Qwen3-8B. At Q4 with the default 8K context it needs ≈ 7.15 GB VRAM (weights 4.51 GB + KV cache 1.64 GB + 1 GB runtime overhead), which fits within 8 GB. Decode at Q4/8K: ≈ 14.9 tok/s (estimated, batch 1). FP16 needs ≈ 19.04 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy Tesla P4 8GB on Amazon →

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K6.33 GBYes14.9 ± est.
Q48K default7.15 GBYes14.9 ± est.
Q432K12.07 GBNo18.6 ± est.
FP164K18.22 GBNo2.2 ± est.
FP168K default19.04 GBNo2.1 ± est.
FP1632K23.96 GBNo1.3 ± est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededTesla P4 8GB VRAM
Q44.51 GB1.64 GB1 GB7.15 GB8 GB
FP1616.4 GB1.64 GB1 GB19.04 GB8 GB

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