# vLLM Scripts — Knowledge Base Documentation for running vLLM inference on two local machines. ## Deployment Topology ```mermaid graph LR subgraph Dankserver[NVIDIA Dankserver - Ubuntu 24.04] A[RTX 3090 24GB + 62GB RAM] B[ggml-rpc worker frank-pp-worker, port 50052] A --> B end subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04] D[gfx1151 APU 30GiB phys / 96GiB GPU-visible] E[llama.cpp PP head frank-default-large, port 7770] F[Qwen3.8-27B UD-Q8_K_XL split 0.40/0.60 to worker, MTP+ngram-mod] D --> E --> F G[FastFlowLM NPU XDNA2 50 TOPS frank-default-small, port 52625] H[gemma4-it:e4b 12.2 t/s, 32k ctx, vision] D --> G --> H end I[LLM Clients / API] -->|HTTP :7770| E I -->|HTTP :52625| G E -->|RPC layers 0.40| B ``` ## Servers | Server | GPU | VRAM / Memory | OS | | --------------------------------------- | ----------------------------- | ----------------------------------- | ------------ | | [[Dankserver System Specs\|Dankserver]] | NVIDIA RTX 3090 | 24 GB VRAM, 62 GB RAM | Ubuntu 24.04 | | [[Dankclaw System Specs\|Dankclaw]] | 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 spec matrix; production = --spec-default (ngram-mod), PARALLEL=2, Vulkan0 backend (2026-08-15) - [[qwen3.8-strix-optimizations]] — Qwen3.8-27B Strix speed research: ranked levers that keep UD-Q8_K_XL (PP to 3090, MTP tuning, same-bit Q8_0 A/B, prefill path, OS), quant landscape, 2026-08-16 test matrix - [[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 - [[FastFlowLM NPU Inference]] — FastFlowLM (FLM), the AMD NPU-first runtime. The 50 TOPS Strix Halo NPU on Dankclaw: model fit, vendor benchmarks, verified install state, test runbook (2026-08-16) ## 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 - [[Pipeline Parallelism/Qwen3.8 PP Deployment]] — production design + runbook: Qwen3.8-27B head (Strix) / worker (RTX 3090) over RPC, b10433, scripts in scripts/