Written by Jakub Rusinowski · Last updated July 21, 2026
No — DeepSeek V4.1 doesn't fit the NVIDIA A100 80GB's 80 GB; you're short by ~14.5 GB even at Q2_K. The cheapest card that runs it is the Apple M2 Ultra (192 GB).
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| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
| Quant | VRAM needed | Fits 80 GB? | Max context |
|---|---|---|---|
| F16 | 569.1 GB | ✗ No | — |
| Q8_0 | 302.8 GB | ✗ No | — |
| Q6_K | 234 GB | ✗ No | — |
| Q5_K_M | 202.4 GB | ✗ No | — |
| Q4_K_M | 172.6 GB | ✗ No | — |
| Q3_K_M | 122.1 GB | ✗ No | — |
| Q2_K | 94.5 GB | ✗ No | — |
VRAM needed assumes a 4K-token context with an f16 KV cache; “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.
Every DeepSeek V4.1 variant requires more VRAM than the NVIDIA A100 80GB provides (80 GB).
Apple M2 Ultra (192 GB VRAM).
DeepSeek V4.1 needs ~171 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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No — DeepSeek V4.1 doesn't fit the NVIDIA A100 80GB's 80 GB; you're short by ~14.5 GB even at Q2_K. The cheapest card that runs it is the Apple M2 Ultra (192 GB).
The Apple M2 Ultra (192 GB VRAM) is the cheapest upgrade that fits it.
← Can I Run It? | DeepSeek V4.1 Model Page | NVIDIA A100 80GB GPU Page | Check Your Hardware