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Radeon PRO W6800 (32GB)

The Radeon PRO W6800 (32GB) provides 32 GB of memory with 512 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

32 GB

Usable Memory Ceiling

32 GB

Bandwidth

512 GB/s

Max Inference Class

32B Models (Q4)

TDP

250W

VRAM Scaling by Context Length

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

DeepSeek-R1 7B (7B)Yi-9B (9B)Muse Glimmer 30B (30B)Qwen3 Next 80B A3B (80B (79B active))

Precision:

Best Models to Run on Radeon PRO W6800 (32GB)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on Radeon PRO W6800 (32GB).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#36

Qwen 3.8 27B

27B

INT4
Q8

26 tok/s

14 tok/s

~8.3s

~9.1s

#80

K2 Horizon MoVA 36B A4B

36B (4B active)

INT4

104 tok/s

~1.6s

#86

Qwen3.5-27B

27B

INT4
Q8

26 tok/s

14 tok/s

~8.3s

~9.1s

#93

Sarvam-30B

32B (2.4B active)

INT4

133 tok/s

~1.1s

#99

Muse Glimmer 30B

30B

INT4
Q8

24 tok/s

12 tok/s

~9.3s

~10.9s

#102

Phi-4 Reasoning Plus

14B

INT4
Q8
FP16

34 tok/s

23 tok/s

12 tok/s

~4.4s

~4.4s

~5.2s

#103

Qwen3.6 35B A3B

35B (3B active)

INT4

120 tok/s

~1.3s

#105

MiMo V2 Flash

15B (309B active)

INT4
Q8

3 tok/s

1 tok/s

~91.2s

~91.6s

#110

Gemma 4 26B A4B

25.2B (3.8B active)

INT4
Q8

111 tok/s

74 tok/s

~1.5s

~1.6s

#120

Qwen3.5-35B-A3B

35B (3B active)

INT4

120 tok/s

~1.3s

#121

Qwen3.5-9B

9B

INT4
Q8
FP16

68 tok/s

41 tok/s

22 tok/s

~2.8s

~2.9s

~2.9s

#127

K2 Horizon 7B

7B

INT4
Q8
FP16

83 tok/s

52 tok/s

28 tok/s

~2.2s

~2.2s

~2.2s

#130

Gemma 4 12B

11.95B

INT4
Q8
FP16

39 tok/s

27 tok/s

15 tok/s

~3.8s

~3.8s

~4.1s

#136

Qwen3.5-4B

4B

INT4
Q8
FP16

122 tok/s

81 tok/s

46 tok/s

~1.3s

~1.3s

~1.3s

#139

GPT-OSS 20B

21B (3.6B active)

INT4
Q8

54 tok/s

45 tok/s

~1.4s

~1.5s

#140

GLM-4V

9B

INT4
Q8
FP16

49 tok/s

34 tok/s

20 tok/s

~2.8s

~2.9s

~2.9s

#145

NVIDIA Nemotron 3 Nano 30B-A3B

3.5B (30B active)

INT4
Q8
FP16

23 tok/s

13 tok/s

7 tok/s

~9.0s

~9.0s

~9.1s

#150

Qwen3-30B-A3B

30B (3B active)

INT4
Q8

122 tok/s

80 tok/s

~1.3s

~1.5s

#152

Granite 4.2 8B

8B

INT4
Q8
FP16

75 tok/s

46 tok/s

25 tok/s

~2.5s

~2.5s

~2.6s

#157

Gemma 4 E4B

8B

INT4
Q8
FP16

75 tok/s

46 tok/s

25 tok/s

~2.5s

~2.5s

~2.6s

Inference Capacity

Maximum model parameter class runnable by weight precision.

Context:

4-bit

Q4

32B Models

8-bit

Q8

14B Models

16-bit

FP16

14B Models

Fine-Tuning Capacity

Hardware capacity for local training and adapter fine-tuning.

Context Length:

QLoRA

4-bit

32B Models

LoRA

16-bit

14B Models

Full Parameter Training

3B Models

Workload Recommendations

Guidance for optimal precision and operational ceilings on Radeon PRO W6800 (32GB).

Inference Sweet Spot

Optimized for 14B models at uncompressed or Q8 precision, and 32B models at Q4 with up to 32k context.

Bandwidth & Speed Profile

With 512 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 114 tok/s on an 8B Q4 model and 13 tok/s on a 70B Q4 model.

Frequently Asked Questions