Qwen 3 30B A3B needs ~26.1 GB VRAM. NVIDIA A40 48GB has 48.0 GB. With Q4_K_M quantization, expect ~82 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
82.1 tok/s
TTFT
2358 ms
Safe context
131K
Memory
26.1 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 | S | Runs well | 82.1 tok/s | 1286 ms | 131K |
| Coding | S | Runs well | 82.1 tok/s | 2358 ms | 131K |
| Agentic Coding | S | Runs well | 82.1 tok/s | 3430 ms | 131K |
| Reasoning | S | Runs well | 82.1 tok/s | 2787 ms | 131K |
| RAG | S | Runs well | 82.1 tok/s | 4288 ms | 131K |
How Qwen 3 30B A3B (30.5B params) fits at each quantization level on NVIDIA A40 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.9 GB | Low | A84 |
Q3_K_S | 3 | 14.9 GB | Low | S85 |
NVFP4 | 4 | 17.1 GB | Medium | S86 |
Q4_K_M | 4 | 18.6 GB | Medium | S86 |
Q5_K_M | 5 | 22.0 GB | High | S87 |
Q6_K | 6 | 25.0 GB | High | S88 |
Q8_0Best for your GPU | 8 | 32.6 GB | Very High | S88 |
F16 | 16 | 62.5 GB | Maximum | F0 |
Copy-paste commands to run Qwen 3 30B A3B on your machine.
Run
ollama run qwen3:30b-a3bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 35B | S | 69 tok/s | ||
| 35B | S | 75 tok/s | ||
| 32B | S | 30.2 tok/s |
Yes, NVIDIA A40 48GB can run Qwen 3 30B A3B with a S grade (Runs well). Expected decode speed: 82.1 tok/s.
Qwen 3 30B A3B (30.5B parameters) requires approximately 26.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 30B A3B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A40 48GB, Qwen 3 30B A3B achieves approximately 82.1 tokens per second decode speed with a time-to-first-token of 2358ms using Q4_K_M quantization.
For coding workloads, Qwen 3 30B A3B on NVIDIA A40 48GB receives a S grade with 82.1 tok/s and 131K context.
On NVIDIA A40 48GB, Qwen 3 30B A3B can safely use up to 131K 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-3-30b-a3b-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>
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