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Can Tesla P4 8GB run Llama-3.1-8B-Instruct?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · Meta · 8.0B · 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 Llama-3.1-8B-Instruct. At Q4 with the default 8K context it needs ≈ 7.0 GB VRAM (weights 4.4 GB + KV cache 1.6 GB + 1 GB runtime overhead), which fits within 8 GB. Decode at Q4/8K: ≈ 15.3 tok/s (estimated, batch 1). FP16 needs ≈ 18.6 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)
Q44K6.2 GBYes15.3 ± est.
Q48K default7.0 GBYes15.3 ± est.
Q432K11.8 GBNo19.9 ± est.
FP164K17.8 GBNo2.4 ± est.
FP168K default18.6 GBNo2.2 ± est.
FP1632K23.4 GBNo1.4 ± 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
Q44.4 GB1.6 GB1 GB7.0 GB8 GB
FP1616.0 GB1.6 GB1 GB18.6 GB8 GB

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