Will It Run AI

Can Qwen3-VL 30B A3B Instruct run on H100 NVL 188GB?

YES — Runs Great

S89Excellent
Estimated from fit model

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.

Runtime: vLLMCapacity: RoomyBandwidth: HighStack: OptimizedBottleneck: Balanced
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Operating mode

Choose the run profile you care about

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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) 41.0 GB, 540.7 tok/s, Runs well
41.0 GB required188.0 GB available
22% VRAM used

Fit status

Runs well

Decode

540.7 tok/s

TTFT

358 ms

Safe context

256K

Memory

41.0 GB / 188.0 GB

Memory breakdown

Weights18.3 GB
KV Cache1.5 GB
Runtime2.4 GB
Headroom18.8 GB

See how fast it feels

See how fast it feelsQwen3-VL 30B A3B Instruct on H100 NVL 188GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 540.7 tok/s decode · 358ms TTFT (warm) · 1352 tok/s prefill

What limits this setup

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.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatSRuns well540.7 tok/s350 ms256K
CodingSRuns well540.7 tok/s358 ms256K
Agentic CodingSRuns well540.7 tok/s521 ms256K
ReasoningSRuns well540.7 tok/s423 ms256K
RAGSRuns well540.7 tok/s651 ms256K

Quantization options

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
11.7 GB
LowA79
Q3_K_S
3
14.7 GB
LowA79
NVFP4
4
16.8 GB
MediumA80
Q4_K_M
4
18.3 GB
MediumA80
Q5_K_M
5
21.6 GB
HighA80
Q6_K
6
24.6 GB
HighA80
Q8_0
8
32.1 GB
Very HighA81
F16Best for your GPU
16
61.5 GB
MaximumA85

Get started

Copy-paste commands to run Qwen3-VL 30B A3B Instruct on your machine.

Run

lms load Qwen3-VL-30B-A3B-Instruct && lms server start

Your hardware

More models your H100 NVL 188GB can run

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS73.3 tok/s
AlibabaQwen3-Coder 30B A3B Instruct30.5BS522.8 tok/s
AlibabaQwen 3.5 122B A10B122BS139 tok/s
AlibabaQwen 3.6 35B A3B35BS439.3 tok/s

Frequently asked questions

Can H100 NVL 188GB run Qwen3-VL 30B A3B Instruct?

Yes, H100 NVL 188GB can run Qwen3-VL 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 540.7 tok/s.

How much VRAM does Qwen3-VL 30B A3B Instruct need?

Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 41.0 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3-VL 30B A3B Instruct?

The recommended quantization for Qwen3-VL 30B A3B Instruct is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen3-VL 30B A3B Instruct run at on H100 NVL 188GB?

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.

Can H100 NVL 188GB run Qwen3-VL 30B A3B Instruct for coding?

For coding workloads, Qwen3-VL 30B A3B Instruct on H100 NVL 188GB receives a S grade with 540.7 tok/s and 256K context.

What context window can Qwen3-VL 30B A3B Instruct use on H100 NVL 188GB?

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.

See all results for H100 NVL 188GBSee all hardware for Qwen3-VL 30B A3B Instruct
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