Framework Desktop Ryzen AI Max+ 395 128GB vs NVIDIA GeForce RTX 5090
In short
The Framework Desktop Ryzen AI Max+ 395 128GB has more memory for models: 128 GB against 32 GB. At 128k context the Framework Desktop Ryzen AI Max+ 395 128GB runs 39 of the models we track fully in memory and the NVIDIA GeForce RTX 5090 24; only the Framework Desktop Ryzen AI Max+ 395 128GB holds Qwen 3.8 Flash Next. On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 8.2× as fast as the Framework Desktop Ryzen AI Max+ 395 128GB (estimated, median across models). In the US the Framework Desktop Ryzen AI Max+ 395 128GB costs $3,449 at eBay (used) and the NVIDIA GeForce RTX 5090 $4,921 at eBay: the Framework Desktop Ryzen AI Max+ 395 128GB is $1,472 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Framework Desktop Ryzen AI Max+ 395 128GB | NVIDIA GeForce RTX 5090 |
|---|---|---|
| Chip | Ryzen AI Max+ 395 (Radeon 8060S) | – |
| Memory bus | 256-bit | 512-bit |
| Memory bandwidth | 256 GB/s | 1,792 GB/s |
| FP16 compute | 59.4 TFLOPS | 209 TFLOPS |
| Software | ROCm | CUDA |
| Unified memory | 128 GB | – |
| GPU can use by default | 96 GB | – |
| GPU can use, tuned | 120 GB | – |
| Operating system | linux | – |
| Processor | Ryzen AI Max+ 395 | – |
| Storage | 1000 GB | – |
| GPU | – | GeForce RTX 5090 |
| Memory | – | 32 GB GDDR7 |
| Board power | – | 575 W |
| PCIe generation | – | Gen 5 |
| PCIe lanes | – | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | Framework Desktop Ryzen AI Max+ 395 128GB | NVIDIA GeForce RTX 5090 |
|---|---|---|
| Qwen 3.8 Flash Next | 3tok/sUD-Q3_K_XL | won't run |
| Qwen 3.8 27B | 4tok/sQ8_0 | 36tok/sUD-Q6_K |
| Qwen 3.5 122B-A10B | 8tok/sQ5_K_M | offload |
| Qwen 3.6 27B | 4tok/sQ8_0 | 36tok/sQ6_K |
| Qwen3 Coder Next | 11tok/sQ8_0 | offload |
| gpt-oss 120B | 11tok/sMXFP4 | won't run |
| Nemotron 3 Super 120B-A12B | 9tok/sUD-Q4_K_M | offload |
| Gemma 4 31B | 3tok/sQ8_0 | 37tok/sQ4_K_M |
| Mistral Small 4 119B | 10tok/sUD-Q5_K_M | offload |
| Qwen 3.6 35B-A3B | 15tok/sQ8_0 | 128tok/sUD-Q6_K |
| Qwen 3.5 27B | 4tok/sQ8_0 | 36tok/sQ6_K |
| Gemma 4 26B-A4B | 12tok/sQ8_0 | 95tok/sQ8_0 |
| GLM 4.5 Air | 2tok/sQ4_K_M | won't run |
| Qwen 3.5 35B-A3B | 15tok/sQ8_0 | 129tok/sQ6_K |
| Qwen3 Next 80B-A3B | 13tok/sQ8_0 | offload |
| GLM 4.7 Flash | 7tok/sQ8_0 | 60tok/sQ6_K |
| Devstral Small 2 24B | 3tok/sQ8_0 | offload |
| Nemotron 3.5 Lightning 30B-A3B | 20tok/sUD-Q6_K_XL | offload |
| Kimi Linear 48B-A3B | 20tok/sQ8_0 | 227tok/sQ4_K_M |
| gpt-oss 20B | 15tok/sMXFP4 | 118tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | 5tok/sQ8_0 | 45tok/sQ4_K_M |
| Qwen3 32B | 2tok/sQ8_0 | offload |
| Gemma 4 12B | 9tok/sQ8_0 | 73tok/sQ8_0 |
| Qwen 3.5 9B | 10tok/sQ8_0 | 80tok/sQ8_0 |
| Gemma 3 27B | 4tok/sQ8_0 | 37tok/sQ5_K_M |
| Mistral Small 3.2 24B | 3tok/sQ8_0 | offload |
| DeepSeek R1 Distill Qwen 32B | 2tok/sQ8_0 | offload |
| Llama 3.3 70B | 2tok/sQ5_K_M | won't run |
| Ministral 3 14B | 4tok/sQ8_0 | 36tok/sQ5_K_M |
| Qwen3 14B | 4tok/sQ8_0 | 35tok/sQ5_K_M |
| DeepSeek R1 0528 Qwen3 8B | 5tok/sQ8_0 | 40tok/sQ8_0 |
| Qwen3 8B | 5tok/sQ8_0 | 40tok/sQ8_0 |
| Phi-4 14B | 3tok/sQ8_0 | offload |
| Qwen 3.5 4B | 16tok/sQ8_0 | 126tok/sQ8_0 |
| Ministral 3 8B | 5tok/sQ8_0 | 41tok/sQ8_0 |
| Granite 4.2 8B | 5tok/sQ8_0 | 36tok/sQ8_0 |
| Gemma 4 E4B | 12tok/sQ8_0 | 93tok/sQ8_0 |
| LFM2.5 8B-A1B | 11tok/sQ8_0 | 89tok/sQ8_0 |
| Llama 3.1 8B | 6tok/sQ6_K | 47tok/sQ6_K |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
Questions
- Which is better for local AI, the Framework Desktop Ryzen AI Max+ 395 128GB or the NVIDIA GeForce RTX 5090?
- Choose the Framework Desktop Ryzen AI Max+ 395 128GB to run bigger models. Choose the NVIDIA GeForce RTX 5090 for speed. Choose the Framework Desktop Ryzen AI Max+ 395 128GB to spend less.
- Which can run bigger models, the Framework Desktop Ryzen AI Max+ 395 128GB or the NVIDIA GeForce RTX 5090?
- At 128k context the Framework Desktop Ryzen AI Max+ 395 128GB runs 39 of the models we track fully in memory and the NVIDIA GeForce RTX 5090 24; only the Framework Desktop Ryzen AI Max+ 395 128GB holds Qwen 3.8 Flash Next.
- Which is faster for local AI, the Framework Desktop Ryzen AI Max+ 395 128GB or the NVIDIA GeForce RTX 5090?
- On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 8.2× as fast as the Framework Desktop Ryzen AI Max+ 395 128GB (estimated, median across models).
- What is the price difference between the Framework Desktop Ryzen AI Max+ 395 128GB and the NVIDIA GeForce RTX 5090?
- In the US the Framework Desktop Ryzen AI Max+ 395 128GB costs $3,449 at eBay (used) and the NVIDIA GeForce RTX 5090 $4,921 at eBay: the Framework Desktop Ryzen AI Max+ 395 128GB is $1,472 cheaper.
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