Qwen3-VL 30B A3B Instruct needs ~27.0 GB VRAM. NVIDIA A40 48GB has 48.0 GB. With Q4_K_M quantization, expect ~65 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
64.5 tok/s
TTFT
3000 ms
Safe context
246K
Memory
27.0 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 | 64.5 tok/s | 1637 ms | 246K |
| Coding | S | Runs well | 64.5 tok/s | 3000 ms | 246K |
| Agentic Coding | S | Runs well | 64.5 tok/s | 4364 ms | 246K |
| Reasoning | S | Runs well | 59.3 tok/s | 3856 ms | 246K |
| RAG | S | Runs well | 64.5 tok/s | 5455 ms | 246K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on NVIDIA A40 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | S86 |
Q3_K_S | 3 | 14.7 GB | Low | S87 |
NVFP4 | 4 |
Copy-paste commands to run Qwen3-VL 30B A3B Instruct on your machine.
Run
lms load Qwen3-VL-30B-A3B-Instruct && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 62.4 tok/s | ||
| 35B | S | 52.4 tok/s |
Yes, NVIDIA A40 48GB can run Qwen3-VL 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 64.5 tok/s.
Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 27.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3-VL 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A40 48GB, Qwen3-VL 30B A3B Instruct achieves approximately 64.5 tokens per second decode speed with a time-to-first-token of 3000ms using Q4_K_M quantization.
For coding workloads, Qwen3-VL 30B A3B Instruct on NVIDIA A40 48GB receives a S grade with 64.5 tok/s and 246K context.
On NVIDIA A40 48GB, Qwen3-VL 30B A3B Instruct can safely use up to 246K tokens of context. The model's official context limit is 256K, 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-vl-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>
Preview:
16.8 GB |
| Medium |
| S87 |
Q4_K_M | 4 | 18.3 GB | Medium | S88 |
Q5_K_M | 5 | 21.6 GB | High | S89 |
Q6_K | 6 | 24.6 GB | High | S90 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | S90 |
F16 | 16 | 61.5 GB | Maximum | F0 |