DeepSeek R1 Distill 14B needs ~17.5 GB VRAM. NVIDIA A40 48GB has 48.0 GB. With Q4_K_M quantization, expect ~64 tok/s.
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
Fit status
Runs well
Decode
68.7 tok/s
TTFT
2820 ms
Safe context
33K
Memory
17.5 GB / 48.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 63.6 tok/s | 1661 ms | 33K |
| Coding | A | Runs well | 63.6 tok/s | 3046 ms | 33K |
| Agentic Coding | A | Runs well | 63.6 tok/s | 4430 ms | 33K |
| Reasoning | A | Runs well | 63.6 tok/s | 3599 ms | 33K |
| RAG | A | Runs well | 63.6 tok/s | 5537 ms | 33K |
How DeepSeek R1 Distill 14B (14B params) fits at each quantization level on NVIDIA A40 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B66 |
Q3_K_S | 3 | 6.9 GB | Low | B67 |
NVFP4 | 4 |
Copy-paste commands to run DeepSeek R1 Distill 14B on your machine.
Run
ollama run deepseek-r1Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 82.1 tok/s | |
| Qwen 3.5 27B | 27B | S | 35.6 tok/s |
Yes, NVIDIA A40 48GB can run DeepSeek R1 Distill 14B with a A grade (Runs well). Expected decode speed: 63.6 tok/s.
DeepSeek R1 Distill 14B (14B parameters) requires approximately 17.5 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 Distill 14B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A40 48GB, DeepSeek R1 Distill 14B achieves approximately 63.6 tokens per second decode speed with a time-to-first-token of 3046ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill 14B on NVIDIA A40 48GB receives a A grade with 63.6 tok/s and 33K context.
On NVIDIA A40 48GB, DeepSeek R1 Distill 14B can safely use up to 33K tokens of context. The model's official context limit is 33K, 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-distill-14b-on-a40-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.8 GB |
| Medium |
| B67 |
Q4_K_M | 4 | 8.5 GB | Medium | B67 |
Q5_K_M | 5 | 10.1 GB | High | B67 |
Q6_K | 6 | 11.5 GB | High | B68 |
Q8_0 | 8 | 15.0 GB | Very High | B69 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | A73 |
| Qwen 3.6 27B | 27B | S | 35.7 tok/s |
| Qwen 3.6 35B A3B | 35B | S | 69 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 84.9 tok/s |