Qwen3-VL 30B A3B Instruct needs ~41.0 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q4_K_M quantization, expect ~541 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
540.7 tok/s
TTFT
358 ms
Safe context
256K
Memory
41.0 GB / 188.0 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 | 540.7 tok/s | 350 ms | 256K |
| Coding | S | Runs well | 540.7 tok/s | 358 ms | 256K |
| Agentic Coding | S | Runs well | 540.7 tok/s | 521 ms | 256K |
| Reasoning | S | Runs well | 540.7 tok/s | 423 ms | 256K |
| RAG | S | Runs well | 540.7 tok/s | 651 ms | 256K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | A79 |
Q3_K_S | 3 | 14.7 GB | Low | A79 |
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 |
|---|---|---|---|---|
| 123B | S | 73.3 tok/s | ||
| 30.5B | S |
Yes, H100 NVL 188GB can run Qwen3-VL 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 540.7 tok/s.
Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 41.0 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 H100 NVL 188GB, Qwen3-VL 30B A3B Instruct achieves approximately 540.7 tokens per second decode speed with a time-to-first-token of 358ms using Q4_K_M quantization.
For coding workloads, Qwen3-VL 30B A3B Instruct on H100 NVL 188GB receives a S grade with 540.7 tok/s and 256K context.
On H100 NVL 188GB, Qwen3-VL 30B A3B Instruct can safely use up to 256K 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-h100-nvl-188gb" 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 |
| A80 |
Q4_K_M | 4 | 18.3 GB | Medium | A80 |
Q5_K_M | 5 | 21.6 GB | High | A80 |
Q6_K | 6 | 24.6 GB | High | A80 |
Q8_0 | 8 | 32.1 GB | Very High | A81 |
F16Best for your GPU | 16 | 61.5 GB | Maximum | A85 |
| 522.8 tok/s |
| 122B | S | 139 tok/s |
| 35B | S | 439.3 tok/s |