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AMD RX 7600 (8GB)

The AMD RX 7600 (8GB) provides 8 GB of memory with 288 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

8 GB

Usable Memory Ceiling

8 GB

Bandwidth

288 GB/s

Max Inference Class

8B Models (Q4)

TDP

165W

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)NVIDIA Nemotron 3 Nano 30B-A3B (3.5B (30B active))Granite 4.2 8B (8B)ERNIE-4.5-21B-A3B-Base (21B (3B active))

Precision:

Best Models to Run on AMD RX 7600 (8GB)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on AMD RX 7600 (8GB).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#113

Qwen3.5-9B

9B

INT4

42 tok/s

~2.3s

#118

K2 Horizon 7B

7B

INT4

51 tok/s

~1.8s

#128

NVIDIA Nemotron 3 Nano 30B-A3B

3.5B (30B active)

INT4
Q8

13 tok/s

7 tok/s

~7.3s

~8.0s

#132

Qwen3.5-4B

4B

INT4
Q8

80 tok/s

50 tok/s

~1.1s

~1.1s

#146

Granite 4.2 8B

8B

INT4

46 tok/s

~2.1s

#150

Gemma 4 E4B

8B

INT4

46 tok/s

~2.1s

#169

OLMo 3 7B Think

7B

INT4

34 tok/s

~2.0s

#177

Gemma 3 12B

12B

INT4

29 tok/s

~3.6s

#182

Ministral 3 8B

8B

INT4

29 tok/s

~2.4s

#183

Qwen3.5-2B

2B

INT4
Q8
FP16

127 tok/s

87 tok/s

51 tok/s

~570 ms

~574 ms

~582 ms

#184

MiniCPM5-2B

2B

INT4
Q8
FP16

127 tok/s

87 tok/s

51 tok/s

~570 ms

~574 ms

~582 ms

#188

Gemma 4 E2B

5.1B

INT4
Q8

67 tok/s

39 tok/s

~1.3s

~1.5s

#189

Qwen3-4B

4B

INT4
Q8

80 tok/s

50 tok/s

~1.1s

~1.1s

#190

DeepSeek-R1 8B

8B

INT4

47 tok/s

~2.1s

#193

Ministral 3 3B

3B

INT4
Q8

63 tok/s

48 tok/s

~825 ms

~830 ms

#197

Gemma 2 9B

9B

INT4

42 tok/s

~2.3s

#198

Qwen2.5-7B

7B

INT4

51 tok/s

~1.8s

#199

Qwen3-8B

8B

INT4

46 tok/s

~2.1s

#200

Gemma 3 4B

4B

INT4
Q8

80 tok/s

50 tok/s

~1.1s

~1.1s

#201

DeepSeek-R1 7B

7B

INT4
Q8

53 tok/s

28 tok/s

~1.8s

~2.2s

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 AMD RX 7600 (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 288 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 64 tok/s on an 8B Q4 model and 8 tok/s on a 70B Q4 model.

Frequently Asked Questions