# LLM fleet — index

The three live endpoint pages are the only pages that carry a shape. Everything
else here is a technique or a piece of hardware, and each of those owns exactly
that one thing. There is no worklog and no era page: a payload swap is one row in
the endpoint's **Eras** table, and the numbers a retired era measured are gone.

## Live endpoints

| Page | Owns |
|---|---|
| [[frank-archon]] | The radiance endpoint: live shape and harness contract, every era with its rollback path, and the laws it taught. |
| [[frank-dragoon]] | The iGPU endpoint: live shape, every era with its rollback path, the laws it paid for, and the files that own it. |
| [[frank-zealot]] | The RTX 3090 endpoint: live shape exactly as the env ships it, every era with its rollback path, and its card laws. |

## Retired endpoints

| Page | Owns |
|---|---|

## Pipeline Parallelism (series)

| Page | Owns |
|---|---|

## Techniques, hardware, trials

| Page | Owns |
|---|---|
| [[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 profiler 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. |

## Pages

| Page | Owns |
|---|---|