Files
serverAppConfigs/docs/index.md
T
Frank db69fc8192 docs: pipeline parallelism research + educational sample script set
Compiles the 5-subagent research fan-out (llama.cpp RPC, vLLM PP,
bandwidth math, mixed-vendor experiments, Qwen3.6-27B spec methods) into
the KB under docs/Pipeline Parallelism/ with an index, expected
performance estimates (1/2.5/10 GbE), and an EDUCATIONAL-ONLY two-node
Qwen3.6-27B Q8 split script set (MTP/DFlash/ngram-mod variants, DSpark
noted as vLLM-only). Nothing here is deployed or intended to run.
2026-08-14 00:22:23 -07:00

3.2 KiB

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

Model Deployment

Speculative Decoding & Quantization

Pipeline Parallelism