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Radeon PRO W6600 (8GB)

The Radeon PRO W6600 (8GB) provides 8 GB of memory with 224 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

8 GB

Usable Memory Ceiling

8 GB

Bandwidth

224 GB/s

Max Inference Class

8B Models (Q4)

TDP

100W

VRAM Scaling by Context Length

Estimated memory requirements as context length increases. Curves crossing above the reference line indicate Out of Memory (OOM).

Gemma 3 270M (0.27B)Phi-2 (2.7B)Mistral-7B-v0.1 (7.3B)ERNIE-4.5-21B-A3B-Base (21B (3B active))

Precision:

Best Models to Run on Radeon PRO W6600 (8GB)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on Radeon PRO W6600 (8GB).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#125

Qwen3.5-9B

9B

INT4

32 tok/s

~5.7s

#128

K2 Horizon 7B

7B

INT4

40 tok/s

~4.4s

#140

Qwen3.5-4B

4B

INT4
Q8

62 tok/s

39 tok/s

~2.6s

~2.6s

#150

NVIDIA Nemotron 3 Nano 30B-A3B

3.5B (30B active)

INT4
Q8

10 tok/s

6 tok/s

~17.9s

~19.5s

#158

Granite 4.2 8B

8B

INT4

36 tok/s

~5.1s

#159

Gemma 4 E4B

8B

INT4

36 tok/s

~5.1s

#178

OLMo 3 7B Think

7B

INT4

27 tok/s

~4.8s

#186

Gemma 3 12B

12B

INT4

22 tok/s

~8.9s

#189

Ministral 3 8B

8B

INT4

23 tok/s

~6.0s

#191

MiniCPM5-2B

2B

INT4
Q8
FP16

98 tok/s

67 tok/s

39 tok/s

~1.4s

~1.4s

~1.4s

#192

Qwen3.5-2B

2B

INT4
Q8
FP16

98 tok/s

67 tok/s

39 tok/s

~1.4s

~1.4s

~1.4s

#200

Gemma 4 E2B

5.1B

INT4
Q8

52 tok/s

30 tok/s

~3.3s

~3.6s

#202

DeepSeek-R1 8B

8B

INT4

37 tok/s

~5.1s

#204

Qwen3-4B

4B

INT4
Q8

62 tok/s

39 tok/s

~2.6s

~2.6s

#205

Ministral 3 3B

3B

INT4
Q8

49 tok/s

37 tok/s

~2.0s

~2.0s

#207

Gemma 2 9B

9B

INT4

32 tok/s

~5.7s

#208

Qwen3.5-0.8B

0.8B

INT4
Q8
FP16

162 tok/s

124 tok/s

81 tok/s

~564 ms

~566 ms

~570 ms

#210

Gemma 3 4B

4B

INT4
Q8

62 tok/s

39 tok/s

~2.6s

~2.6s

#211

Qwen3-8B

8B

INT4

36 tok/s

~5.1s

#213

DeepSeek-R1 7B

7B

INT4
Q8

41 tok/s

22 tok/s

~4.4s

~5.2s

Inference Capacity

Maximum model parameter class runnable by weight precision.

Context:

4-bit

Q4

8B Models

8-bit

Q8

3B Models

16-bit

FP16

< 1B Models

Fine-Tuning Capacity

Hardware capacity for local training and adapter fine-tuning.

Context Length:

QLoRA

4-bit

8B Models

LoRA

16-bit

3B Models

Full Parameter Training

< 1B Models

Workload Recommendations

Guidance for optimal precision and operational ceilings on Radeon PRO W6600 (8GB).

Inference Sweet Spot

Recommended for lightweight models (1B to 3B) at FP16/Q8, and 7B/8B models at aggressive 4-bit quantizations.

Bandwidth & Speed Profile

With 224 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 50 tok/s on an 8B Q4 model and 6 tok/s on a 70B Q4 model.

Frequently Asked Questions