Can I Run DeepSeek V4.1 on NVIDIA A100 80GB (PCIe)?
作者： Jakub Rusinowski · 最后更新： 2026年10月13日
No — DeepSeek V4.1 Flash at Q4_K_M needs 462.2 GB at 8K context (460.8 GB weights + 1.4 GB KV cache/overhead), and the NVIDIA A100 80GB (PCIe)'s 80 GB leaves it ~382.2 GB short.
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NVIDIA A100 80GB (PCIe) Specs
| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
DeepSeek V4.1 Flash on the NVIDIA A100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 1527.8 GB | ✗ No | — | — |
| Q8_0 | 812.3 GB | ✗ No | — | — |
| Q6_K | 627.2 GB | ✗ No | — | — |
| Q5_K_M | 542.3 GB | ✗ No | — | — |
| Q4_K_M | 462.2 GB | ✗ No | — | — |
| Q3_K_M | 326.7 GB | ✗ No | — | — |
| Q2_K | 252.3 GB | ✗ No | — | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 80 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA A100 80GB (PCIe): 8K 462.2 GB ✗ · 32K 463.9 GB ✗ · 128K 470.8 GB ✗. Past 8K it no longer fits 80 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? DeepSeek V4.1 Flash on 256 GB of system RAM, CPU only: still does not fit.
Why It Does Not Fit
Every DeepSeek V4.1 variant requires more VRAM than the NVIDIA A100 80GB (PCIe) provides (80 GB).
DeepSeek V4.1 needs ~462 GB but this GPU has 80 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:
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FAQ
Does the NVIDIA A100 80GB (PCIe) have enough VRAM for DeepSeek V4.1?
No — DeepSeek V4.1 Flash at Q4_K_M needs 462.2 GB at 8K context (460.8 GB weights + 1.4 GB KV cache/overhead), and the NVIDIA A100 80GB (PCIe)'s 80 GB leaves it ~382.2 GB short.
DeepSeek V4.1 on Other GPUs
- DeepSeek V4.1 on NVIDIA H100 80GB (PCIe)
- DeepSeek V4.1 on Apple M2 Max
- DeepSeek V4.1 on NVIDIA RTX PRO 6000 Blackwell
Popular Models on the NVIDIA A100 80GB (PCIe)
VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | DeepSeek V4.1 Model Page | NVIDIA A100 80GB (PCIe) GPU Page | VRAM calculator | Check Your Hardware