HomeAILab — AI skill for Claude Code
Home AI inference lab running Qwen3.8 across RTX 5090, RTX 3090, and DGX Spark with vLLM, llama.cpp, custom Go routing, benchmarking, monitoring, long-context inference, and Claude Code integration.
How to install HomeAILab
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open darkmatter2222/HomeAILab and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What HomeAILab does
Home AI inference lab running Qwen3.8 across RTX 5090, RTX 3090, and DGX Spark with vLLM, llama.cpp, custom Go routing, benchmarking, monitoring, long-context inference, and Claude Code integration.
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README
HomeAILab — Qwen3.8-27B GPU Inference Fleet
A working, single-user GPU inference fleet that serves **Qwen3.8-27B** (abliterated "Uncensored") and a **180B MoE** vision model across three heterogeneous machines, fronted by a custom **Go LLM router** that gives any OpenAI- or Anthropic-compatible client (including Claude Code) a single, deterministic endpoint. Everything is deployed through **Portainer** stacks — the YAMLs in this repo are the source of truth you maintain in the Portainer UI.
**If this helps, give it a star.** It's the difference between a project and a reference.
The fleet in one line
| Host | GPU | Role |
|---|---|---|
RedPCv2 (.37) |
RTX 5090 (32 GB) | vLLM, fastest text decode |
Databrick (.48) |
RTX 3090 (24 GB) | llama.cpp, MTP spec decode, 262K verified |
DGX Spark (.39) |
NVIDIA GB10 (122 GB unified) | NVFP4 vLLM + 180B MoE vision (Flash-Next) |
A deterministic router on Databrick (`:8001`) cascades **5090 → 3090 → Spark**, pins vision requests to the Spark, and gives each client a stable `local-coding` alias that transparently maps to the backend's `qwen3.8`.
How it works
High-level architecture
flowchart LR
CC[Claude Code]
API[Other OpenAI-Compatible Clients]
R[Go LLM Router :8001
Data Plane]
RT[(In-Memory
Routing Table)]
CP[Control Plane]
D[Discovery Scanner]
H[Health Monitor]
N5090[RTX 5090
vLLM :8201]
N3090[RTX 3090
llama.cpp :8101]
DGX[DGX Spark
Flash-Next :8401]
CC -->|OpenAI / Anthropic API| R
API -->|OpenAI / Anthropic API| R
R <--> RT
CP --> RT
D --> CP
H --> CP
D -. scan + health .-> N5090
D -. scan + health .-> N3090
D -. scan + health .-> DGX
R -->|selected request only| N5090
R -->|selected request only| N3090
R -->|selected request only| DGX
The request hot path
The router is single-process, no DB, no Redis. The request path is a pure in-m
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