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Can Tesla P4 8GB run Qwen3.5-2B?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · Alibaba · 2.0B · model ctx up to 256K

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

Yes — the Tesla P4 8GB (8 GB GDDR5) can run Qwen3.5-2B. At Q4 with the default 8K context it needs ≈ 2.15 GB VRAM (weights 1.1 GB + KV cache 0.05 GB + 1 GB runtime overhead), which fits within 8 GB. Decode at Q4/8K: ≈ 61.1 tok/s (estimated, batch 1). FP16 (≈ 5.05 GB) also fits, at ≈ 16.8 tok/s (estimated). 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)
Q44K2.12 GBYes61.1 ± est.
Q48K default2.15 GBYes61.1 ± est.
Q432K2.3 GBYes61.1 ± est.
FP164K5.03 GBYes16.8 ± est.
FP168K default5.05 GBYes16.8 ± est.
FP1632K5.2 GBYes16.8 ± 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
Q41.1 GB0.05 GB1 GB2.15 GB8 GB
FP164.0 GB0.05 GB1 GB5.05 GB8 GB

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