AMD unified memory · Framework
Framework Desktop (Ryzen AI Max 385)
The entry Framework Desktop with the 8-core, 32-CU Strix Halo part and 32GB. It handles small and mid-size models; the 32GB ceiling rules out the large ones.
Memory for models
AMD documents 96 GB only for 128 GB machines; this applies AMD's "Custom (75%)" Variable Graphics Memory setting to 32 GB.
Memory bandwidth
Maker price
Largest at 4-bit
22.4 GB at 8,192 tokens of context (an assumed limit, see Memory for models)
gpt-oss-20b, 4-bit
no measurement on this hardware yet
Memory configurations
One page covers every memory option the maker sells. Prices are the maker’s list price for the cheapest configuration with that much memory.
| Memory | Price | Memory the GPU can use |
|---|---|---|
| 32 GB | ~$1,269 | 24 GB gpu-usable memoryassumption |
AMD documents 96 GB only for 128 GB machines; this applies AMD's "Custom (75%)" Variable Graphics Memory setting to 32 GB. How GPU memory limits work on unified-memory machines.
What it runs at 4-bit
Every model in the catalog at its 4-bit file with 8,192 tokens of context. 19 of 41 fit. Speeds are the median of measured runs on the same chip where any exist; otherwise an estimate from memory bandwidth. Try other quants and context lengths.
| Model | Needs | Fit | Generation speed |
|---|---|---|---|
| Kimi K32.8T, 104B active · UD-Q4_K_XL | 1406.8 GBcontext memory estimated | Does not fit | |
| DeepSeek V4 Pro1.6T, 49B active · Q4_K_M | 890.5 GBcontext memory not counted | Does not fit | |
| Kimi K2.61T, 32B active · UD-Q4_K_XL | 545.7 GBcontext memory estimated | Does not fit | |
| DeepSeek V4.1 Flash552B, 16B active · Q4 (DwarfStar) | 484.5 GB | Does not fit | |
| GLM-5.3753.3B · UD-Q4_K_XL | 437.4 GBcontext memory estimated | Does not fit | |
| DeepSeek V3.2671B, 37B active · Q4_K_M | 379.6 GBcontext memory estimated | Does not fit | |
| MiniMax M3428B, 23B active · Q4_K_M | 244.8 GBcontext memory not counted | Does not fit | |
| Qwen3.5 397B-A17B397B, 17B active · Q4_K_M | 229.1 GBcontext memory estimated | Does not fit | |
| GLM-5.3 Flash320B, 18B active · UD-Q4_K_XL | 187.6 GBcontext memory estimated | Does not fit | |
| Hy3295B, 21B active · Q4_K_M | 173.6 GB | Does not fit | |
| MiniMax M2.7228.7B · Q4_K_M | 132.7 GB | Does not fit | |
| Qwen3.8 Flash-Next125B, 6B active · Q4_K_M | 113.1 GBcontext memory estimated | Does not fit | |
| Nemotron 3 Super 120B-A12B120B, 12B active · Q4_K_M | 82.6 GBcontext memory estimated | Does not fit | |
| Qwen3.5 122B-A10B122B, 10B active · Q4_K_M | 73.0 GBcontext memory estimated | Does not fit | |
| Mistral Medium 3.5 128B128B · Q4_K_M | 74.0 GB | Does not fit | |
| GLM-4.5-Air106B, 12B active · Q4_K_M | 70.9 GB | Does not fit | |
| Mistral Small 4 119B (2603)119B, 6.5B active · Q4_K_M | 69.3 GBcontext memory estimated | Does not fit | |
| Llama 4 Scout 17B-16E Instruct109B, 17B active · Q4_K_M | 62.4 GBcontext memory not counted | Does not fit | |
| gpt-oss-120b117B, 5.1B active · MXFP4 (native) | 60.2 GBcontext memory estimated | Does not fit | |
| Qwen3 Coder Next80B, 3B active · Q4_K_M | 46.9 GBcontext memory estimated | Does not fit | |
| Llama 3.3 70B Instruct70B · Q4_K_M | 43.6 GB | Does not fit | |
| Nemotron 3.5 Lightning 30B-A3B30B, 3B active · Q4_K_M | 25.3 GBcontext memory estimated | Does not fit | |
| Qwen3.6 35B-A3B35B, 3B active · Q4_K_M | 22.4 GBcontext memory estimated | Fitsassumed limit | ~63–81 tok/sestimate |
| Ornith 1.5 35B-A3B35B, 3B active · Q4_K_M | 21.9 GBcontext memory estimated | Fitsassumed limit | ~65–83 tok/sestimate |
| Qwen3 Coder 30B-A3B Instruct30.5B, 3.3B active · Q4_K_M | 19.5 GB | Fitsassumed limit | ~60–77 tok/sestimate |
| Gemma 4 31B IT30.7B · Q4_K_M | 18.9 GBcontext memory estimated | Fitsassumed limit | ~9.5–11 tok/sestimate |
| Granite 4.2 30B29.3B · Q4_K_M | 20.3 GB | Fitsassumed limit | ~9.6–12 tok/sestimate |
| Qwen3.8 27B27B · Q4_K_M | 18.2 GBcontext memory estimated | Fitsassumed limit | ~10.0–12 tok/sestimate |
| Gemma 4 26B-A4B IT25.2B, 3.8B active · Q4_K_M | 17.4 GBcontext memory estimated | Fitsassumed limit | ~47–60 tok/sestimate |
| Qwen3.6 27B27B · Q4_K_M | 17.7 GBcontext memory estimated | Fitsassumed limit | ~10–12 tok/sestimate |
| Devstral Small 2 24B (2512)24B · Q4_K_M | 16.1 GB | Fitsassumed limit | ~12–15 tok/sestimate |
| gpt-oss-20b21B, 3.6B active · MXFP4 (native) | 12.5 GBcontext memory estimated | Fitsassumed limit | ~61–77 tok/sestimate |
| Phi-414.7B · Q4_K_M | 11.3 GB | Fitsassumed limit | ~20–23 tok/sestimate |
| Ministral 3 14B Reasoning (2512)13.9B · Q4_K_M | 10.4 GB | Fitsassumed limit | ~21–25 tok/sestimate |
| Gemma 4 12B IT11.95B · Q4_K_M | 8.2 GBcontext memory estimated | Fitsassumed limit | ~24–29 tok/sestimate |
| Qwen3.5 9B9B · Q4_K_M | 7.0 GBcontext memory estimated | Fitsassumed limit | ~31–37 tok/sestimate |
| Granite 4.2 8B8.8B · Q4_K_M | 7.9 GB | Fitsassumed limit | ~31–38 tok/sestimate |
| Gemma 4 E4B IT8B · Q4_K_M | 6.5 GBcontext memory not counted | Fitsassumed limit | ~57–68 tok/sestimate |
| Qwen3 8B8.2B · Q4_K_M | 7.3 GB | Fitsassumed limit | ~35–41 tok/sestimate |
| Llama 3.1 8B Instruct8B · Q4_K_M | 7.1 GB | Fitsassumed limit | ~35–42 tok/sestimate |
| Qwen3.5 4B4B · Q4_K_M | 4.3 GBcontext memory estimated | Fitsassumed limit | ~63–76 tok/sestimate |
Measured speeds
Nobody has published a run on this chip with a stated model, quant and backend that we could find. The speeds above are estimates.
Specifications
- Chip
- Ryzen AI Max 385
- Memory
- LPDDR5X-8000, 256-bit, soldered
- Memory bandwidth
- 256 GB/s
- FP16 compute
- AMD quotes up to 126 overall TOPS (CPU+GPU+NPU, precision not stated) and no FP16 TFLOPS figure
- NPU
- 50 TOPS
- Software
- ROCm, Vulkan, DirectML
- Ships with
- None (DIY Edition; Windows or Linux installed by the buyer)
- Power
- 400 W (Internal 400W power supply (Framework spec))
- Form factor
- Mini PC
- Networking
- 5GbE (Realtek RTL8126); two USB4 ports; optional 10GbE expansion card
- Maker page
- frame.work
Sources
- frame.work: price $1,269 for Max 385 - 32GB
- frame.work: 400W PSU, LPDDR5x-8000, 5GbE, release year 2025
- amd.com: Radeon 8050S 32 CU, NPU 50 TOPS, LPDDR5x-8000 256-bit
- rocm.docs.amd.com: Linux GTT default ~50% of RAM; raise via ttm pages_limit / amd-ttm --set (AMD example: 100GB on a 128GB system); keep BIOS VRAM small
Similar machines
- Framework Desktop (Ryzen AI Max+ 395)~$1,959–$3,449
- GMKtec EVO-X2 (Ryzen AI Max+ 395)~$2,600–$4,000
- Beelink GTR9 Pro (Ryzen AI Max+ 395)~$4,699