"Strix Halo" SoC pairing 16 Zen 5 CPU cores with a 40-CU RDNA 3.5 iGPU (Radeon 8060S), sharing up to 128 GB of LPDDR5X-8000 memory at 256 GB/s. Up to 96 GB can be allocated to the GPU as VRAM via AMD Variable Graphics Memory (Windows) or GTT (Linux) — the figure used here. Powers AI mini-PCs like the Framework Desktop, GMKtec EVO-X2, and HP Z2 Mini G1a. ROCm support is improving but still behind CUDA.
| VRAM | 96 GB |
| Memory Bandwidth | 256 GB/s |
| TDP | 120 W |
| Architecture | Zen 5 + RDNA 3.5 "Strix Halo" |
| Release Year | 2025 |
| MSRP at Launch | $1,999 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~40 tokens/sec |
| Inference Speed (Llama 3.3 70B Q4_K_M) | ~18 tokens/sec |
All models below run comfortably in 96 GB VRAM with Q4_K_M quantization.
| Llama 3.3 | 24 GB VRAM · Q2_K_XS (Tight) · ollama run llama3.3 |
| Llama 3.1 Family | 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Llama 4 | 24 GB VRAM · Q4_K_M · ollama run llama4:maverick |
| DeepSeek R1 | 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
| Qwen 3 | 80 GB VRAM · Q4_K_M · ollama run qwen3:235b-a22b |
| Qwen3-Coder | 8 GB VRAM · Q4_K_M · ollama run qwen3-coder:80b-a3b-q4 |
| Gemma 3 | 16 GB VRAM · Q4_K_M · ollama run gemma3:27b |
| Mistral Small 3.1 | 14 GB VRAM · Q4_K_M · ollama run mistral-small3.1 |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.3:70b
Yes — the AMD Ryzen AI Max+ 395 has 96 GB VRAM and runs "Strix Halo" SoC pairing 16 Zen 5 CPU cores with a 40-CU RDNA 3.5 iGPU (Radeon 8060S), sharing up to 128 GB of LPDDR5X-8
The AMD Ryzen AI Max+ 395 runs Llama 3.1 8B at ~40 tokens/sec with Q4_K_M quantization. For the 70B model it achieves ~18 tokens/sec.
With 96 GB you can run: Llama 3.3, Llama 3.1 Family, Llama 4, DeepSeek R1, Qwen 3. Use Ollama for the easiest setup: ollama run llama3.3:70b.
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