DeepSeek R1 Distill 32B needs ~27.8 GB VRAM. RTX 5000 Ada 32GB has 32.0 GB. With Q4_K_M quantization, expect ~26 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
Tight fit
Decode
25.5 tok/s
TTFT
7594 ms
Safe context
33K
Memory
27.8 GB / 32.0 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 | 25.5 tok/s | 4142 ms | 33K |
| Coding | A | Tight fit | 25.5 tok/s | 7594 ms | 33K |
| Agentic Coding | A | Runs with offload | 25.5 tok/s | 11045 ms | 33K |
| Reasoning | A | Tight fit | 25.5 tok/s | 8974 ms | 33K |
| RAG | A | Runs with offload | 25.5 tok/s | 13807 ms | 33K |
How DeepSeek R1 Distill 32B (32B params) fits at each quantization level on RTX 5000 Ada 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | A73 |
Q3_K_S | 3 | 15.7 GB | Low | A75 |
NVFP4 | 4 | 17.9 GB | Medium | A75 |
Q4_K_M | 4 | 19.5 GB | Medium | A74 |
Q5_K_MBest for your GPU | 5 | 23.0 GB | High | A74 |
Q6_K | 6 | 26.2 GB | High | F0 |
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 | 58.6 tok/s | |
| Qwen 3.5 35B A3B | 35B | S | 63.7 tok/s | |
 Kimi Linear 48B A3B | 48B | B | 10 tok/s | |
 Granite Code 34B | 34B | A | 24.1 tok/s | |
 Command R 35B | 35B | A | 23.5 tok/s |
Yes, RTX 5000 Ada 32GB can run DeepSeek R1 Distill 32B with a A grade (Tight fit). Expected decode speed: 25.5 tok/s.
DeepSeek R1 Distill 32B (32B parameters) requires approximately 27.8 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 RTX 5000 Ada 32GB, DeepSeek R1 Distill 32B achieves approximately 25.5 tokens per second decode speed with a time-to-first-token of 7594ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill 32B on RTX 5000 Ada 32GB receives a A grade with 25.5 tok/s and 33K context.
On RTX 5000 Ada 32GB, 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-rtx-5000-ada-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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