Can Qwen 3 235B A22B run on NVIDIA B200 180GB?

YES — Tight Fit

S92Excellent

Estimated from fit model

Qwen 3 235B A22B needs ~165.1 GB VRAM. NVIDIA B200 180GB has 180.0 GB. With Q4_K_M quantization, expect ~137 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: HighStack: StandardBottleneck: 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) — 165.1 GB, 136.8 tok/s, Tight fit

165.1 GB required180.0 GB available

92% VRAM used

Fit status

Tight fit

Decode

136.8 tok/s

TTFT

1416 ms

Safe context

99K

Memory

165.1 GB / 180.0 GB

Memory breakdown

Weights143.4 GB

KV Cache2.9 GB

Runtime0.9 GB

Headroom18.0 GB

See how fast it feels

See how fast it feelsQwen 3 235B A22B on NVIDIA B200 180GB
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: 136.8 tok/s decode · 1.4s TTFT (warm) · 342 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	Tight fit	136.8 tok/s	772 ms	99K
Coding	S	Tight fit	136.8 tok/s	1416 ms	99K
Agentic Coding	S	Tight fit	136.8 tok/s	2059 ms	99K
Reasoning	S	Tight fit	136.8 tok/s	1673 ms	99K
RAG	S	Tight fit	136.8 tok/s	2574 ms	99K

Inference speed

Qwen 3 235B A22B inference speed — tokens per second by GPU & Mac

Estimated decode speed (tokens/sec) for Qwen 3 235B A22B at Q4_K_M across popular GPUs and Apple Silicon, including multi-GPU rigs, using the fastest local runtime per device. Fastest is Mac Studio M3 Ultra 256GB at ~11 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?
Mac Studio M3 Ultra 256GB	256 GB	Q4_K_M	11.3	Tight
Mac Studio M2 Ultra 128GB	128 GB	Q4_K_M	4.7	Too big
Mac Studio M1 Ultra 128GB	128 GB	Q4_K_M	4.4	Too big
RTX 5090 32GB	32 GB	Q4_K_M	3.7	Too big
2× RX 7900 XTX 24GB	48 GB	Q4_K_M	3.6	Too big
MacBook Pro M4 Max 128GB	128 GB	Q4_K_M	3.5	Too big
MacBook Pro M4 Max 64GB	64 GB	Q4_K_M	3.2	Too big
2× RTX 4090 24GB	48 GB	Q4_K_M	2.5	Too big
RTX 4090 24GB	24 GB	Q4_K_M	2.3	Too big
MacBook Pro M3 Max 64GB	64 GB	Q4_K_M	2.2	Too big
RX 7900 XTX 24GB	24 GB	Q4_K_M	2.1	Too big
2× RTX 3090 24GB	48 GB	Q4_K_M	2.1	Too big
RTX 4080 Super 16GB	16 GB	Q4_K_M	2.0	Too big
RTX 3090 24GB	24 GB	Q4_K_M	2.0	Too big
RTX 4070 12GB	12 GB	Q4_K_M	2.0	Too big
RTX 3060 12GB	12 GB	Q4_K_M	2.0	Too big
RTX 4060 8GB	8 GB	Q4_K_M	2.0	Too big
MacBook Pro M1 Max 64GB	64 GB	Q4_K_M	2.0	Too big
MacBook Pro M4 Pro 48GB	48 GB	Q4_K_M	2.0	Too big
4× RTX 3060 12GB	48 GB	Q4_K_M	2.0	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 Qwen 3 235B A22B (235B params) fits at each quantization level on NVIDIA B200 180GB (180.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	91.7 GB	Low	S86
Q3_K_S	3	115.2 GB	Low	S86
NVFP4	4	131.6 GB	Medium	S86
Q4_K_MBest for your GPU	4	143.4 GB	Medium	S86
Q5_K_M	5	169.2 GB	High	F0
Q6_K	6	192.7 GB	High	F0
Q8_0	8	251.5 GB	Very High	F0
F16	16	481.7 GB	Maximum	F0

Get started

Copy-paste commands to run Qwen 3 235B A22B on your machine.

Run

lms load Qwen3-235B-A22B-Instruct-2507 && lms server start

Your hardware

More models your NVIDIA B200 180GB can run

Model	Params	Grade	Decode	Capabilities
DeepSeek V4 Flash	284B	S	144.8 tok/s

Frequently asked questions

Can NVIDIA B200 180GB run Qwen 3 235B A22B?

Yes, NVIDIA B200 180GB can run Qwen 3 235B A22B with a S grade (Tight fit). Expected decode speed: 136.8 tok/s.

How much VRAM does Qwen 3 235B A22B need?

Qwen 3 235B A22B (235B parameters) requires approximately 165.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 235B A22B?

The recommended quantization for Qwen 3 235B A22B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 235B A22B run at on NVIDIA B200 180GB?

On NVIDIA B200 180GB, Qwen 3 235B A22B achieves approximately 136.8 tokens per second decode speed with a time-to-first-token of 1416ms using Q4_K_M quantization.

Can NVIDIA B200 180GB run Qwen 3 235B A22B for coding?

For coding workloads, Qwen 3 235B A22B on NVIDIA B200 180GB receives a S grade with 136.8 tok/s and 99K context.

What context window can Qwen 3 235B A22B use on NVIDIA B200 180GB?

On NVIDIA B200 180GB, Qwen 3 235B A22B can safely use up to 99K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for NVIDIA B200 180GB See all hardware for Qwen 3 235B A22B

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