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Can V100 16GB PCIe run DeepSeek-V4-Flash?

NVIDIA · 16 GB HBM2 · 900 GB/s bandwidth · DeepSeek · 158.1B (active 13B) · MoE · model ctx up to 1000K

❌ No — DeepSeek-V4-Flash Q4 needs 88.29 GB, card only has 16 GB
VRAM: 88.29 GB needed of 16 GB
FF · No FitComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Your GPU won't fit DeepSeek-V4-Flash, but runs these similar models: Qwen3-8B, gemma-4-26B-A4B-itor☁️ Rent on RunPod from ~$0.50/hr
Estimates from memory-bandwidth formula; rows marked "measured" override. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K88.29 GBNo
Q48K default88.63 GBNo
Q432K90.64 GBNo
FP164K317.54 GBNo
FP168K default317.87 GBNo
FP1632K319.89 GBNo

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 neededV100 16GB PCIe VRAM
Q486.95 GB0.67 GB1 GB88.63 GB16 GB
FP16316.2 GB0.67 GB1 GB317.87 GB16 GB

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