Qwen3-VL 30B A3B Instruct needs ~27.0 GB VRAM. Quadro RTX 8000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~55 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
55.1 tok/s
TTFT
3513 ms
Safe context
246K
Memory
27.0 GB / 48.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 55.1 tok/s | 1916 ms | 246K |
| Coding | S | Runs well | 55.1 tok/s | 3513 ms | 246K |
| Agentic Coding | S | Runs well | 55.1 tok/s | 5110 ms | 246K |
| Reasoning | S | Runs well | 55.1 tok/s | 4152 ms | 246K |
| RAG | S | Runs well | 55.1 tok/s | 6387 ms | 246K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on Quadro RTX 8000 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 | 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 |
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 | 53.3 tok/s | ||
| 35B | S | 44.8 tok/s |
Yes, Quadro RTX 8000 48GB can run Qwen3-VL 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 55.1 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 Quadro RTX 8000 48GB, Qwen3-VL 30B A3B Instruct achieves approximately 55.1 tokens per second decode speed with a time-to-first-token of 3513ms using Q4_K_M quantization.
For coding workloads, Qwen3-VL 30B A3B Instruct on Quadro RTX 8000 48GB receives a S grade with 55.1 tok/s and 246K context.
On Quadro RTX 8000 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-quadro-rtx-8000-48gb" 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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