Can Qwen 3 32B run on Gaudi 3 128GB?

YES — Runs Great

S89Excellent

Estimated from fit model

Qwen 3 32B needs ~37.1 GB VRAM. Gaudi 3 128GB has 128.0 GB. With Q4_K_M quantization, expect ~144 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: 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) — 37.1 GB, 144.3 tok/s, Runs well

37.1 GB required128.0 GB available

29% VRAM used

Fit status

Runs well

Decode

144.3 tok/s

TTFT

1342 ms

Safe context

131K

Memory

37.1 GB / 128.0 GB

Memory breakdown

Weights19.5 GB

KV Cache3.9 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsQwen 3 32B on Gaudi 3 128GB
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: 144.3 tok/s decode · 1.3s TTFT (warm) · 361 tok/s prefill

What limits this setup

The raw memory story may look fine, but the software ecosystem is still a constraint here.

Runtime ecosystem is narrower than CUDA

Intel GPUs can look attractive on memory per dollar, but local AI tooling, kernels, and model coverage are still broader and easier on CUDA today.

Best improvement path

Prefer CUDA if you want the path of least resistance

If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	144.3 tok/s	732 ms	131K
Coding	S	Runs well	144.3 tok/s	1342 ms	131K
Agentic Coding	S	Runs well	144.3 tok/s	1952 ms	131K
Reasoning	S	Runs well	144.3 tok/s	1586 ms	131K
RAG	S	Runs well	144.3 tok/s	2439 ms	131K

Quantization options

How Qwen 3 32B (32B params) fits at each quantization level on Gaudi 3 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	A80
Q3_K_S	3	15.7 GB	Low	A80
NVFP4	4	17.9 GB	Medium	A80
Q4_K_M	4	19.5 GB	Medium	A80
Q5_K_M	5	23.0 GB	High	A80
Q6_K	6	26.2 GB	High	A81
Q8_0	8	34.2 GB	Very High	A82
F16Best for your GPU	16	65.6 GB	Maximum	S87

Get started

Copy-paste commands to run Qwen 3 32B on your machine.

Run

ollama run qwen3:32b

Your hardware

More models your Gaudi 3 128GB can run

Model	Params	Grade	Decode
Devstral 2 123B Instruct	123B	S	37.5 tok/s
Qwen 3.5 122B A10B	122B	S	104.1 tok/s
Qwen 3.6 35B A3B	35B	S	329.1 tok/s
Qwen 3.5 35B A3B	35B	S	357.9 tok/s

Frequently asked questions

Can Gaudi 3 128GB run Qwen 3 32B?

Yes, Gaudi 3 128GB can run Qwen 3 32B with a S grade (Runs well). Expected decode speed: 144.3 tok/s.

How much VRAM does Qwen 3 32B need?

Qwen 3 32B (32B parameters) requires approximately 37.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 32B?

The recommended quantization for Qwen 3 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 32B run at on Gaudi 3 128GB?

On Gaudi 3 128GB, Qwen 3 32B achieves approximately 144.3 tokens per second decode speed with a time-to-first-token of 1342ms using Q4_K_M quantization.

Can Gaudi 3 128GB run Qwen 3 32B for coding?

For coding workloads, Qwen 3 32B on Gaudi 3 128GB receives a S grade with 144.3 tok/s and 131K context.

What context window can Qwen 3 32B use on Gaudi 3 128GB?

On Gaudi 3 128GB, Qwen 3 32B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

What should I upgrade first if Qwen 3 32B feels slow on Gaudi 3 128GB?

Prefer CUDA if you want the path of least resistance. If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Would CUDA be a better path than Gaudi 3 128GB for Qwen 3 32B?

Often yes, if your goal is the easiest setup and the widest runtime support. Intel can offer attractive memory capacity, but CUDA still tends to win on tooling maturity, guides, kernels, and model coverage for local AI.

See all results for Gaudi 3 128GB See all hardware for Qwen 3 32B

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<iframe src="https://willitrunai.com/embed/qwen-3-32b-on-gaudi-3-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

144.3 tok/s

732 ms

131K

Coding

Runs well

144.3 tok/s

1342 ms

131K

Agentic Coding

Runs well

144.3 tok/s

1952 ms

131K

Reasoning

Runs well

144.3 tok/s

1586 ms

131K

RAG

Runs well

144.3 tok/s

2439 ms

131K

Quantization options

How Qwen 3 32B (32B params) fits at each quantization level on Gaudi 3 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	12.5 GB	Low	A80
Q3_K_S	3	15.7 GB	Low	A80
NVFP4	4	17.9 GB	Medium	A80
Q4_K_M	4	19.5 GB	Medium	A80
Q5_K_M	5	23.0 GB	High	A80
Q6_K	6	26.2 GB	High	A81
Q8_0	8	34.2 GB	Very High	A82
F16Best for your GPU	16	65.6 GB	Maximum	S87

Model

Params

Grade

Decode

Capabilities

Devstral 2 123B Instruct

123B

37.5 tok/s

Qwen 3.5 122B A10B

122B

104.1 tok/s

Qwen 3.6 35B A3B

35B

329.1 tok/s

Qwen 3.5 35B A3B

35B

357.9 tok/s

Frequently asked questions

Can Gaudi 3 128GB run Qwen 3 32B?

Yes, Gaudi 3 128GB can run Qwen 3 32B with a S grade (Runs well). Expected decode speed: 144.3 tok/s.

How much VRAM does Qwen 3 32B need?

Qwen 3 32B (32B parameters) requires approximately 37.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 3 32B?

The recommended quantization for Qwen 3 32B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 3 32B run at on Gaudi 3 128GB?

On Gaudi 3 128GB, Qwen 3 32B achieves approximately 144.3 tokens per second decode speed with a time-to-first-token of 1342ms using Q4_K_M quantization.

Can Gaudi 3 128GB run Qwen 3 32B for coding?

For coding workloads, Qwen 3 32B on Gaudi 3 128GB receives a S grade with 144.3 tok/s and 131K context.

What context window can Qwen 3 32B use on Gaudi 3 128GB?

On Gaudi 3 128GB, Qwen 3 32B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

What should I upgrade first if Qwen 3 32B feels slow on Gaudi 3 128GB?

Would CUDA be a better path than Gaudi 3 128GB for Qwen 3 32B?