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AMD Ryzen AI 9 HX 370 (96GB system, 72GB GPU-accessible)

The AMD Ryzen AI 9 HX 370 (96GB system, 72GB GPU-accessible) provides 72 GB of memory with 128 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

72 GB

Usable Memory Ceiling

72 GB

Bandwidth

128 GB/s

Max Inference Class

70B+ Models (Q4)

TDP

54W

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 14B (14B)ERNIE-4.5-VL-28B-A3B (28B (3B active))Llama 3 70B (70B)Step 3.5 Flash (196.81B (11B active))

Precision:

Best Models to Run on AMD Ryzen AI 9 HX 370 (96GB system, 72GB GPU-accessible)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on AMD Ryzen AI 9 HX 370 (96GB system, 72GB GPU-accessible).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#48

Qwen 3.8 27B

27B

INT4
Q8
FP16

7 tok/s

4 tok/s

2 tok/s

~28.1s

~28.2s

~28.4s

#72

Sarvam-105B

106B (10.3B active)

INT4

17 tok/s

~14.4s

#83

K2 Horizon MoVA 36B A4B

36B (4B active)

INT4
Q8
FP16

32 tok/s

21 tok/s

11 tok/s

~5.5s

~5.5s

~6.5s

#88

Ling 3.0 Flash VL

124B (5.5B active)

INT4

27 tok/s

~11.1s

#93

Qwen3.5-27B

27B

INT4
Q8
FP16

7 tok/s

4 tok/s

2 tok/s

~28.1s

~28.2s

~28.4s

#97

Qwen3.5-122B-A10B

122B (10B active)

INT4

12 tok/s

~16.0s

#105

Sarvam-30B

32B (2.4B active)

INT4
Q8
FP16

44 tok/s

31 tok/s

18 tok/s

~3.8s

~3.8s

~4.2s

#106

Qwen3.6 35B A3B

35B (3B active)

INT4
Q8
FP16

39 tok/s

26 tok/s

14 tok/s

~4.5s

~4.5s

~5.3s

#107

Nemotron 3.5 Bolt 74B A9B

74B

INT4

3 tok/s

~76.1s

#110

Muse Glimmer 30B

30B

INT4
Q8
FP16

6 tok/s

4 tok/s

2 tok/s

~31.1s

~31.2s

~34.2s

#111

MiMo V2 Flash

15B (309B active)

INT4
Q8
FP16

1 tok/s

1 tok/s

1 tok/s

~307.0s

~308.3s

~311.2s

#112

Phi-4 Reasoning Plus

14B

INT4
Q8
FP16

9 tok/s

6 tok/s

3 tok/s

~14.8s

~14.8s

~15.0s

#117

Gemma 4 26B A4B

25.2B (3.8B active)

INT4
Q8
FP16

35 tok/s

23 tok/s

13 tok/s

~5.0s

~5.0s

~5.1s

#119

GLM-4.5-Air

106B (12B active)

INT4

4 tok/s

~19.0s

#124

Ling 3.0 Flash

124B (5.1B active)

INT4

28 tok/s

~10.7s

#125

Qwen3.5-9B

9B

INT4
Q8
FP16

19 tok/s

11 tok/s

6 tok/s

~9.6s

~9.6s

~9.7s

#126

Qwen3.5-35B-A3B

35B (3B active)

INT4
Q8
FP16

39 tok/s

26 tok/s

14 tok/s

~4.5s

~4.5s

~5.3s

#128

K2 Horizon 7B

7B

INT4
Q8
FP16

24 tok/s

14 tok/s

7 tok/s

~7.5s

~7.5s

~7.6s

#135

Gemma 4 12B

11.95B

INT4
Q8
FP16

11 tok/s

7 tok/s

4 tok/s

~12.7s

~12.7s

~12.8s

#137

Qwen3 Next 80B A3B

80B (79B active)

INT4

2 tok/s

~81.4s

Inference Capacity

Maximum model parameter class runnable by weight precision.

Context:

4-bit

Q4

70B+ Models

8-bit

Q8

32B Models

16-bit

FP16

32B Models

Fine-Tuning Capacity

Hardware capacity for local training and adapter fine-tuning.

Context Length:

QLoRA

4-bit

70B+ Models

LoRA

16-bit

70B Models

Full Parameter Training

7B-8B Models

Workload Recommendations

Guidance for optimal precision and operational ceilings on AMD Ryzen AI 9 HX 370 (96GB system, 72GB GPU-accessible).

Inference Sweet Spot

Suitable for 70B parameter models at Q4/Q8 with extended 32k context windows, or high-throughput batching of smaller dense architectures.

Bandwidth & Speed Profile

With 128 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 28 tok/s on an 8B Q4 model and 3 tok/s on a 70B Q4 model.

Frequently Asked Questions