DeepSeek R1 Distill 32B needs ~37.1 GB VRAM. AMD Instinct MI250X 128GB has 128.0 GB. With Q4_K_M quantization, expect ~138 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
138.1 tok/s
TTFT
1402 ms
Safe context
33K
Memory
37.1 GB / 128.0 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 | 138.1 tok/s | 765 ms | 33K |
| Coding | A | Runs well | 138.1 tok/s | 1402 ms | 33K |
| Agentic Coding | A | Runs well | 138.1 tok/s | 2039 ms | 33K |
| Reasoning | A | Runs well | 138.1 tok/s | 1657 ms | 33K |
| RAG | A | Runs well | 138.1 tok/s | 2549 ms | 33K |
Inference speed
Estimated decode speed (tokens/sec) for DeepSeek R1 Distill 32B at Q4_K_M across popular GPUs and Apple Silicon, using the fastest local runtime per device. Fastest is RTX 5090 32GB at ~66 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.
| GPU / Mac | Memory | Quant | Speed (tok/s) | Fits? |
|---|---|---|---|---|
 RTX 5090 32GB | 32 GB | Q4_K_M | 66.4 | Tight |
MacBook Pro M4 Max 128GB | 128 GB | Q4_K_M | 33.2 | Fits |
MacBook Pro M4 Max 64GB | 64 GB | Q4_K_M | 33.2 | Fits |
Mac Studio M3 Ultra 256GB | 256 GB | Q4_K_M | 30.8 | Fits |
Mac Studio M2 Ultra 128GB | 128 GB | Q4_K_M | 25.7 | Fits |
| RTX 4090 24GB | 24 GB | Q4_K_M | 24.8 | Heavy offload |
Mac Studio M1 Ultra 128GB | 128 GB | Q4_K_M | 24.3 | Fits |
RX 7900 XTX 24GB | 24 GB | Q4_K_M | 22.9 | Heavy offload |
| RTX 3090 24GB | 24 GB | Q4_K_M | 21.2 | Heavy offload |
MacBook Pro M4 Pro 48GB | 48 GB | Q4_K_M | 20.9 | Tight |
MacBook Pro M3 Max 64GB | 64 GB | Q4_K_M | 13.3 | Fits |
MacBook Pro M1 Max 64GB | 64 GB | Q4_K_M | 12.2 | Fits |
| RTX 4080 Super 16GB | 16 GB | Q4_K_M | 9.0 | Too big |
| RTX 4070 12GB | 12 GB | Q4_K_M | 3.1 | Too big |
| RTX 3060 12GB | 12 GB | Q4_K_M | 2.0 | Too big |
| RTX 4060 8GB | 8 GB | Q4_K_M | 2.0 | Too big |
Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.
How DeepSeek R1 Distill 32B (32B params) fits at each quantization level on AMD Instinct MI250X 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | B64 |
Q3_K_S | 3 | 15.7 GB | Low | B64 |
NVFP4 | 4 | 17.9 GB | Medium | B64 |
Q4_K_M | 4 | 19.5 GB | Medium | B64 |
Q5_K_M | 5 | 23.0 GB | High | B65 |
Q6_K | 6 | 26.2 GB | High | B65 |
Q8_0 | 8 | 34.2 GB | Very High | B67 |
F16Best for your GPU | 16 | 65.6 GB | Maximum | A72 |
Copy-paste commands to run DeepSeek R1 Distill 32B on your machine.
Run
ollama run deepseek-r1:32bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 36.2 tok/s | |
 Qwen 3.5 122B A10B | 122B | S | 100.3 tok/s | |
| Qwen 3.6 35B A3B | 35B | S | 317.2 tok/s | |
| Qwen 3.5 35B A3B | 35B | S | 344.9 tok/s | |
| Mistral Small 4 119B | 119B | S | 108.8 tok/s |
Yes, AMD Instinct MI250X 128GB can run DeepSeek R1 Distill 32B with a A grade (Runs well). Expected decode speed: 138.1 tok/s.
DeepSeek R1 Distill 32B (32B parameters) requires approximately 37.1 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 AMD Instinct MI250X 128GB, DeepSeek R1 Distill 32B achieves approximately 138.1 tokens per second decode speed with a time-to-first-token of 1402ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill 32B on AMD Instinct MI250X 128GB receives a A grade with 138.1 tok/s and 33K context.
On AMD Instinct MI250X 128GB, 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-instinct-mi250x-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: