| Dankclaw Improvements |
This page collects concrete, sourced recommendations to improve Dankclaw |
| Dankclaw System Specs |
Dankclaw is an AMD APU server for CIRU ROCmFPX llama.cpp inference. |
| dankclaw-iommu-translation-off |
Why Dankclaw boots with identity DMA, what the earlier off-era bought and cost, and which tooling owns the boot line. |
| Dankserver System Specs |
Dankserver hardware and OS state since the board swap: board, lane topology, cards, memory, kernel posture. |
| DFlash DSpark Speculative Decoding |
DFlash and DSpark are the two newest speculative decoding methods. |
| GGUF Compatibility |
Answering whether an engine loads a GGUF from the file header alone, and pinning a fork build that can. |
| Heterogeneous Split Triage |
Triage before splitting across unequal accelerators: link characterisation, real bottleneck, what placement never buys. |
| Llama Cpp Serving Sizing |
Measurement-first sizing for llama.cpp shapes: slot pools against a headroom band, per-device accounting, prompt cache. |
| LLM Performance Diagnosis |
Probing why a served model is slow: the flat-depth probe, offload duty-cycle arithmetic, and step-shape attribution. |
| Model Swap and Rollback |
The model-swap discipline: fit preflight, fetch verification, build and flag checks, live validation, three-pin revert. |
| PCIe Link and Atomics |
Link probing, the streaming-versus-compute ceiling arithmetic, and the atomics wall that decides multi-GPU collectives. |
| Quantization by Hardware Architecture |
This page maps LLM quantization formats to the GPU and CPU architectures that support them. |
| Quantization Production |
Making a quantized payload here: the conversion recipe, the scoring gate, and the campaign ladder behind a shipped file. |
| RDNA4 MoE Expert Offload VRAM Budget |
Expert-offload arithmetic on the RDNA4 fork: movable terms, the utilisation law, graph charge, ceilings, context ladder. |
| Shared Memory Architecture Dankclaw |
Dankclaw uses AMD Strix Halo APU with unified memory architecture. |