Qwen 3 32B needs ~28.6 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~73 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
72.8 tok/s
TTFT
2660 ms
Safe context
63K
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 | S | Runs well | 66.9 tok/s | 1578 ms | 63K |
| Coding | S | Runs well | 72.8 tok/s | 2660 ms | 63K |
| Agentic Coding | S | Runs well | 72.8 tok/s | 3870 ms | 63K |
| Reasoning | S | Runs well | 72.8 tok/s | 3144 ms | 63K |
| RAG | S | Runs well | 72.8 tok/s | 4837 ms | 63K |
How Qwen 3 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 | S86 |
Q3_K_S | 3 | 15.7 GB | Low | S88 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3 32B on your machine.
Run
ollama run qwen3:32bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 35B | S | 166 tok/s | ||
Yes, NVIDIA A100 40GB can run Qwen 3 32B with a S grade (Runs well). Expected decode speed: 72.8 tok/s.
Qwen 3 32B (32B parameters) requires approximately 28.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 32B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A100 40GB, Qwen 3 32B achieves approximately 72.8 tokens per second decode speed with a time-to-first-token of 2660ms using Q4_K_M quantization.
For coding workloads, Qwen 3 32B on NVIDIA A100 40GB receives a S grade with 72.8 tok/s and 63K context.
On NVIDIA A100 40GB, Qwen 3 32B can safely use up to 63K 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/qwen-3-32b-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:
17.9 GB |
| Medium |
| S88 |
Q4_K_M | 4 | 19.5 GB | Medium | S89 |
Q5_K_M | 5 | 23.0 GB | High | S90 |
Q6_KBest for your GPU | 6 | 26.2 GB | High | S89 |
Q8_0 | 8 | 34.2 GB | Very High | F0 |
F16 | 16 | 65.6 GB | Maximum | F0 |
| 35B |
| S |
| 180.5 tok/s |