AMD Ryzen AI 9 HX 370 — Local LLM Performance & Compatibility
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
是Strix POINT，不是Strix Halo：12个Zen 5核心搭配16 CU的Radeon 890M，128位内存总线。120 GB/s对应Beelink SER9这类机器所配的LPDDR5X-7500；AMD官方规格页面对DDR5-5600配置给出的是89.6 GB/s，因此数值取决于厂商板载的内存。无论哪种，都大约只有本目录此前用来建模它的Ryzen AI Max+ 395的一半。
Technical Specifications
| VRAM | 32 GB |
| Memory Bandwidth | 120 GB/s |
| TDP | 54 W |
| Architecture | Zen 5 + RDNA 3.5 "Strix Point" |
| Release Year | 2024 |
| MSRP at Launch | $0 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | 9.0–19 tok/s (estimated) |
| Inference Speed (Llama 3.3 70B Q4_K_M) | Does not fit — needs ~44 GB of 32 GB usable |
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LLMs Compatible with 32 GB VRAM
All models below run comfortably in 32 GB VRAM with Q4_K_M quantization.
| Command R Family | Command R (35B) · 22 GB VRAM · Q4_K_M · ollama run command-r |
| Qwen 3.5 | Qwen 3.5 35B-A3B · 22 GB VRAM · Q4_K_M · ollama run qwen3.5:35b-a3b |
| Qwen 3.6 | Qwen 3.6 35B-A3B · 22 GB VRAM · Q4_K_M · ollama run qwen3.6:35b-a3b |
| Nex-N2 | Nex-N2 mini · 22 GB VRAM · Q4_K_M · nex-n2 |
| Yi 1.5 Family | Yi 1.5 34B Chat · 22 GB VRAM · Q4_K_M · ollama run yi:34b |
| Qwen 3 | Qwen 3 32B · 21 GB VRAM · Q4_K_M · ollama run qwen3:32b |
| Aya Expanse | Aya Expanse 32B · 20 GB VRAM · Q4_K_M · ollama run aya-expanse:32b |
| DeepSeek R1 | DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
56 more families also fit 32 GB — browse the full model library.
Best Use Cases
- mini-PC AI
- thin laptops
- small models
FAQ
Can the AMD Ryzen AI 9 HX 370 run local LLMs?
Yes — the AMD Ryzen AI 9 HX 370 has 32 GB VRAM and runs 是Strix POINT，不是Strix Halo：12个Zen 5核心搭配16 CU的Radeon 890M，128位内存总线。120 GB/s对应Beelink SER9这类机器所配的LPDDR5X-7500；AMD官方规格页面对DDR
How fast is the AMD Ryzen AI 9 HX 370 for AI inference?
The AMD Ryzen AI 9 HX 370 is estimated to run Llama 3.1 8B at 9.0–19 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 32 GB usable. These are modelled estimates, not measurements — see /en/methodology.
What LLMs can I run on 32 GB VRAM?
With 32 GB you can run: Command R Family, Qwen 3.5, Qwen 3.6, Nex-N2, Yi 1.5 Family. Use Ollama for the easiest setup: ollama run llama3.1:8b.
Compare Similar GPUs
- NVIDIA GeForce RTX 5090 Laptop GPU (24 GB, 0 t/s)
- Intel Arc Pro B70 (32 GB, 0 t/s)
- Intel Arc Pro B65 (32 GB, 0 t/s)
- AMD Radeon AI PRO R9700 (32 GB, 0 t/s)
VRAM Tier
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