Can Qwen3-VL 30B A3B Instruct run on RTX PRO 6000 Blackwell Server Edition 96GB?

YES — Runs Great

S91Excellent

Estimated from fit model

Qwen3-VL 30B A3B Instruct needs ~31.8 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~159 tok/s.

Runtime: vLLMCapacity: RoomyBandwidth: HighStack: OptimizedBottleneck: Balanced

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) — 31.8 GB, 159.4 tok/s, Runs well

31.8 GB required96.0 GB available

33% VRAM used

Fit status

Runs well

Decode

159.4 tok/s

TTFT

1214 ms

Safe context

256K

Memory

31.8 GB / 96.0 GB

Memory breakdown

Weights18.3 GB

KV Cache1.5 GB

Runtime2.4 GB

Headroom9.6 GB

See how fast it feels

See how fast it feelsQwen3-VL 30B A3B Instruct on RTX PRO 6000 Blackwell Server Edition 96GB
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: 159.4 tok/s decode · 1.2s TTFT (warm) · 399 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

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	159.4 tok/s	662 ms	256K
Coding	S	Runs well	159.4 tok/s	1214 ms	256K
Agentic Coding	S	Runs well	159.4 tok/s	1766 ms	256K
Reasoning	S	Runs well	159.4 tok/s	1435 ms	256K
RAG	S	Runs well	159.4 tok/s	2208 ms	256K

Inference speed

Qwen3-VL 30B A3B Instruct inference speed — tokens per second by GPU & Mac

Estimated decode speed (tokens/sec) for Qwen3-VL 30B A3B Instruct at Q4_K_M across popular GPUs and Apple Silicon, using the fastest local runtime per device. Fastest is RTX 5090 32GB at ~143 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.

GPU / Mac	Memory	Quant	Speed (tok/s)	Fits?
RTX 5090 32GB	32 GB	Q4_K_M	142.7	Fits
RTX 4090 24GB	24 GB	Q4_K_M	119.8	Offloads
RX 7900 XTX 24GB	24 GB	Q4_K_M	108.1	Offloads
RTX 3090 24GB	24 GB	Q4_K_M	102.5	Offloads
Mac Studio M3 Ultra 256GB	256 GB	Q4_K_M	87.1	Fits
Mac Studio M2 Ultra 128GB	128 GB	Q4_K_M	72.6	Fits
Mac Studio M1 Ultra 128GB	128 GB	Q4_K_M	68.8	Fits
MacBook Pro M4 Max 128GB	128 GB	Q4_K_M	53.8	Fits
MacBook Pro M4 Max 64GB	64 GB	Q4_K_M	53.8	Fits
MacBook Pro M3 Max 64GB	64 GB	Q4_K_M	37.5	Fits
MacBook Pro M1 Max 64GB	64 GB	Q4_K_M	34.4	Fits
MacBook Pro M4 Pro 48GB	48 GB	Q4_K_M	32.9	Fits
RTX 4080 Super 16GB	16 GB	Q4_K_M	23.7	Too big
RTX 4070 12GB	12 GB	Q4_K_M	8.3	Too big
RTX 3060 12GB	12 GB	Q4_K_M	5.2	Too big
RTX 4060 8GB	8 GB	Q4_K_M	3.5	Too big

Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.

Quantization options

How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	11.7 GB	Low	A82
Q3_K_S	3	14.7 GB	Low	A82
NVFP4	4	16.8 GB	Medium	A82
Q4_K_M	4	18.3 GB	Medium	A83
Q5_K_M	5	21.6 GB	High	A83
Q6_K	6	24.6 GB	High	A84
Q8_0	8	32.1 GB	Very High	A85
F16Best for your GPU	16	61.5 GB	Maximum	S90

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 RTX PRO 6000 Blackwell Server Edition 96GB can run

Model	Params	Grade	Decode
Qwen3-Coder 30B A3B Instruct	30.5B	S	154.2 tok/s
Qwen 3.5 122B A10B	122B	S	41 tok/s
Qwen 3.6 35B A3B	35B	S	129.6 tok/s

Frequently asked questions

Can RTX PRO 6000 Blackwell Server Edition 96GB run Qwen3-VL 30B A3B Instruct?

Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run Qwen3-VL 30B A3B Instruct with a S grade (Runs well). Expected decode speed: 159.4 tok/s.

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

Qwen3-VL 30B A3B Instruct (30B parameters) requires approximately 31.8 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 RTX PRO 6000 Blackwell Server Edition 96GB?

On RTX PRO 6000 Blackwell Server Edition 96GB, Qwen3-VL 30B A3B Instruct achieves approximately 159.4 tokens per second decode speed with a time-to-first-token of 1214ms using Q4_K_M quantization.

Can RTX PRO 6000 Blackwell Server Edition 96GB run Qwen3-VL 30B A3B Instruct for coding?

For coding workloads, Qwen3-VL 30B A3B Instruct on RTX PRO 6000 Blackwell Server Edition 96GB receives a S grade with 159.4 tok/s and 256K context.

What context window can Qwen3-VL 30B A3B Instruct use on RTX PRO 6000 Blackwell Server Edition 96GB?

On RTX PRO 6000 Blackwell Server Edition 96GB, 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 RTX PRO 6000 Blackwell Server Edition 96GB See all hardware for Qwen3-VL 30B A3B Instruct

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