serverAppConfigs/docs/index.md

vLLM Scripts — Knowledge Base

Documentation for running vLLM inference on two local machines.

Deployment Topology

graph LR
    subgraph Dankserver[NVIDIA Dankserver - Ubuntu 24.04]
        A[RTX 3090 24GB + 62GB RAM]
        B[llama.cpp ngram-mod
frank-default-small]
        C[Qwen3.6-35B-A3B uncensored Q6_K_P
MoE experts on CPU, port 7770]
        A --> B --> C
    end

    subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
        D[gfx1151 APU 30GiB phys / 96GiB GPU-visible]
        E[llama.cpp MTP sidecar
frank-default-large]
        F[Qwen3.6-27B uncensored Q8_K_P
MTP-ONLY draft, port 7770]
        D --> E --> F
    end

    G[LLM Clients / API] -->|HTTP :7770| B
    G -->|HTTP :7770| E

Servers

Server	GPU	VRAM / Memory	OS
Dankserver System Specs	NVIDIA RTX 3090	24 GB VRAM, 62 GB RAM	Ubuntu 24.04
Dankclaw System Specs	AMD Radeon 8060S (Strix Halo)	30 GiB physical / 96 GiB GPU-visible	Ubuntu 26.04

vLLM Reference

• VLLM Overview — installation, CLI, API, architecture, quantization, parallelism
• VLLM Index — quick reference with commands, endpoints, and parameter table
• deployment — deploy and update process for both servers

Memory Management

• RAM CPU Offloading in VLLM — KV cache swap between GPU VRAM and system RAM
• Hybrid CPU GPU Processing Dankserver — NVIDIA GPU compute with system RAM offload
• Shared Memory Architecture Dankclaw — AMD unified memory and ROCm configuration

Model Deployment

• Running Qwen3.6 35B A3B FP8 on Dankserver — MoE model (35B total, 3B active) on RTX 3090
• Running Qwen3.6 27B FP8 on Dankclaw — Dense model (27B) on Strix Halo APU
• frank-default-large-benchmark — backend/spec benchmark; chose MTP sidecar (2026-08-14) over DFlash (parallel premature-EOS bug)
• qwen3.8-spec-matrix — Qwen3.8-27B UD-Q8_K_XL bundled-MTP spec matrix; winner draft-mtp n_max=5
• frank-default-small-benchmark — ncmoe and batch/ubatch sweep that drove the Dankserver state
• dankserver-vram-growth — VRAM/RAM growth investigation behind the recurring cuBLAS crash on frank-default-small
• Dankclaw Improvements — researched enhancements: self-hosted agentic tools, runtime tuning, server/OS settings

Speculative Decoding & Quantization

• DFlash DSpark Speculative Decoding — block diffusion (DFlash) and semi-autoregressive (DSpark) drafting on vLLM and llama.cpp
• Quantization by Hardware Architecture — which quant format fits which GPU/CPU

Pipeline Parallelism

• Pipeline Parallelism — index of multi-node inference research and sample scripts
  • Pipeline Parallelism/llama.cpp RPC — ggml-rpc-server + --rpc distributed inference
  • Pipeline Parallelism/vLLM Pipeline Parallelism — vLLM PP across machines
  • Pipeline Parallelism/Ethernet Bandwidth Math — bytes per token and link feasibility
  • Pipeline Parallelism/Mixed-Vendor Experiments — NVIDIA + Strix Halo real-world runs
  • Pipeline Parallelism/Expected Performance — estimated tok/s over 1/2.5/10 GbE
  • Pipeline Parallelism/Sample Script Set — educational two-node Qwen3.6-27B Q8 split