DeepSeek R1 671B needs ~483.9 GB but NVIDIA H200 141GB only has 141.0 GB. Try a smaller quantization or lighter model.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
342.9 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
4.3 tok/s
TTFT
45087 ms
Safe context
4K
Memory
483.9 GB / 141.0 GB
Offload
70%
Usable VRAM is the main blocker for this model.
Not enough usable memory
The model needs 483.9 GB, but this setup only exposes 141.0 GB of usable VRAM.
Add more VRAM headroom
The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 4.3 tok/s | 24593 ms | 4K |
| Coding | F | Too heavy | 4.3 tok/s | 45087 ms | 4K |
| Agentic Coding | F | Too heavy | 4.3 tok/s | 65580 ms | 4K |
| Reasoning | F | Too heavy | 4.3 tok/s | 53284 ms | 4K |
| RAG | F | Too heavy | 4.3 tok/s | 81976 ms | 4K |
How DeepSeek R1 671B (671B params) fits at each quantization level on NVIDIA H200 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 261.7 GB | Low | F0 |
Q3_K_S | 3 | 328.8 GB | Low | F0 |
NVFP4 | 4 |
No, DeepSeek R1 671B requires more memory than NVIDIA H200 141GB provides.
DeepSeek R1 671B (671B parameters) requires approximately 483.9 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 671B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA H200 141GB, DeepSeek R1 671B achieves approximately 4.3 tokens per second decode speed with a time-to-first-token of 45087ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 671B on NVIDIA H200 141GB receives a F grade with 4.3 tok/s and 4K context.
On NVIDIA H200 141GB, DeepSeek R1 671B can safely use up to 4K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/deepseek-r1-671b-on-h200-141gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| F0 |
Q4_K_M | 4 | 409.3 GB | Medium | F0 |
Q5_K_M | 5 | 483.1 GB | High | F0 |
Q6_K | 6 | 550.2 GB | High | F0 |
Q8_0 | 8 | 718.0 GB | Very High | F0 |
F16 | 16 | 1375.6 GB | Maximum | F0 |
Add more VRAM headroom. The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
