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// RUN — FITS
Can the AMD Ryzen AI Max+ 395 run Tensor-Transformer(1core)+PN (WT103)?
Yes — here's how fast and up to what context, with real measured numbers.
Tensor-Transformer(1core)+PN (WT103) on the AMD Ryzen AI Max+ 395
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1732k | 945.4-1155.5 t/s | ~36.9-45.1 (slow) |
| Q8 | yes | 1734k | 1890.7-2310.9 t/s | ~73.9-90.3 (slow) |
| Q4 | yes | 1734k | 3376.3-4126.6 t/s | ~131.9-161.2 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
→ All models on the AMD Ryzen AI Max+ 395
→ Tensor-Transformer(1core)+PN (WT103) specs
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FAQ
Can the AMD Ryzen AI Max+ 395 run Tensor-Transformer(1core)+PN (WT103)?▶
Yes. At Q4 it generates ~3376.3-4126.6 tok/s and fits up to 1734k context; beyond that it spills to SSD swap and slows to ~131.9-161.2 tok/s.
How much context fits?▶
At Q4, up to about 1734k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.