DeepSeek R1 Distill 32B needs ~28.6 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~72 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
72.3 tok/s
TTFT
2679 ms
Safe context
33K
Memory
28.6 GB / 40.0 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 | 72.3 tok/s | 1461 ms | 33K |
| Coding | A | Runs well | 72.3 tok/s | 2679 ms | 33K |
| Agentic Coding | A | Runs well | 72.3 tok/s | 3897 ms | 33K |
| Reasoning | A | Runs well | 72.3 tok/s | 3166 ms | 33K |
| RAG | A | Runs well | 72.3 tok/s | 4871 ms | 33K |
How DeepSeek R1 Distill 32B (32B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | A71 |
Q3_K_S | 3 | 15.7 GB | Low | A72 |
NVFP4 | 4 | 17.9 GB | Medium | A73 |
Q4_K_M | 4 | 19.5 GB | Medium | A74 |
Q5_K_M | 5 | 23.0 GB | High | A74 |
Q6_KBest for your GPU | 6 | 26.2 GB | High | A74 |
Q8_0 | 8 | 34.2 GB | Very High | F0 |
F16 | 16 | 65.6 GB | Maximum | F0 |
Copy-paste commands to run DeepSeek R1 Distill 32B on your machine.
Run
ollama run deepseek-r1:32bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.6 35B A3B | 35B | S | 166 tok/s | |
| Qwen 3.5 35B A3B | 35B | S | 180.5 tok/s | |
 Kimi Linear 48B A3B | 48B | A | 44.6 tok/s | |
 Granite Code 34B | 34B | A | 68.2 tok/s | |
 Command R 35B | 35B | A | 66.5 tok/s |
Yes, NVIDIA A100 40GB can run DeepSeek R1 Distill 32B with a A grade (Runs well). Expected decode speed: 72.3 tok/s.
DeepSeek R1 Distill 32B (32B parameters) requires approximately 28.6 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 Distill 32B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A100 40GB, DeepSeek R1 Distill 32B achieves approximately 72.3 tokens per second decode speed with a time-to-first-token of 2679ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill 32B on NVIDIA A100 40GB receives a A grade with 72.3 tok/s and 33K context.
On NVIDIA A100 40GB, DeepSeek R1 Distill 32B 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-32b-on-a100-40gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: