AMD Ryzen AI Halo Developer Platform vs ASUS Ascent QN10
Side-by-side specification comparison with AI model-fit analysis. Data sourced from manufacturer specs, verified 2026-07-21.
|
AMD Ryzen AI Halo Developer Platform (Max+ 395) AMD |
ASUS Ascent QN10 ASUS |
|
|---|---|---|
| Price | $3,999MSRP | $1,699MSRP |
| AI Framework | ROCm, Vulkan, DirectML | — |
| CPU Cores | 16 | — |
| Ethernet | Dual 10GbE | — |
| GPU Compute Units | 40 | — |
| GPU | Radeon 8060S | — |
| Memory Bandwidth (GB/s) | 256 | — |
| Memory Bus Width | 256-bit | — |
| Memory (GB) | 128 | 32 |
| Memory Type | LPDDR5X 8000 | LPDDR5x 8533/9600MHz |
| Memory Upgradeable | No (soldered LPDDR5X) | — |
| NPU TOPS | 50 | 80 |
| OCuLink / PCIe | Yes (OCuLink) | — |
| OS Support | Windows 11, Linux | — |
| Platform | AMD Strix Halo | — |
| Storage Type | 2x NVMe Gen4 SSD | — |
| TDP (W) | 120 | — |
| Buy | Check Price → | No offer |
| Details | View → | View → |
Model Fit Analysis
AMD Ryzen AI Halo Developer Platform (Max+ 395)
Max Q4: 70B class models (169.4B params)
Usable AI memory: 88.2GB · Method: unified_memory_desktop_workload Conservative
Llama 3.1 8B
✓
Llama 3.1 70B
✓
Llama 3.2 1B
✓
Llama 3.2 3B
✓
Qwen 2.5 7B
✓
Qwen 2.5 14B
✓
Qwen 2.5 32B
✓
Qwen 2.5 72B
✓
Mistral 7B
✓
Mixtral 8x7B
✓
DeepSeek R1 7B
✓
DeepSeek R1 32B
✓
DeepSeek R1 70B
✓
Phi-3 Medium 14B
✓
Gemma 2 9B
✓
Gemma 2 27B
✓
Stable Diffusion XL
✓
Flux.1 Dev
✓
Flux.1 Schnell
✓
ASUS Ascent QN10
Max Q4: 34B class models (38B params)
Usable AI memory: 22.5GB · Method: amd_igpu_bios_limited Conservative
Llama 3.1 8B
✓
Llama 3.1 70B
✗
Llama 3.2 1B
✓
Llama 3.2 3B
✓
Qwen 2.5 7B
✓
Qwen 2.5 14B
✓
Qwen 2.5 32B
✓
Qwen 2.5 72B
✗
Mistral 7B
✓
Mixtral 8x7B
✗
DeepSeek R1 7B
✓
DeepSeek R1 32B
✓
DeepSeek R1 70B
✗
Phi-3 Medium 14B
✓
Gemma 2 9B
✓
Gemma 2 27B
✓
Stable Diffusion XL
✓
Flux.1 Dev
✓
Flux.1 Schnell
✓
Specifications sourced from manufacturer datasheets. Prices are MSRP, verified 2026-07-21. Model-fit uses conservative estimates — actual performance varies. Methodology