Frank
db69fc8192
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.
72 lines
3.2 KiB
Markdown
72 lines
3.2 KiB
Markdown
# vLLM Scripts — Knowledge Base
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Documentation for running vLLM inference on two local machines.
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## Deployment Topology
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```mermaid
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graph LR
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subgraph Dankserver[NVIDIA Dankserver - Ubuntu 24.04]
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A[RTX 3090 24GB + 62GB RAM]
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B[llama.cpp ngram-mod
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frank-default-small]
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C[Qwen3.6-35B-A3B uncensored Q6_K_P
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MoE experts on CPU, port 7770]
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A --> B --> C
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end
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subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
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D[gfx1151 APU 30GiB phys / 96GiB GPU-visible]
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E[llama.cpp MTP sidecar
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frank-default-large]
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F[Qwen3.6-27B uncensored Q8_K_P
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MTP-ONLY draft, port 7770]
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D --> E --> F
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end
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G[LLM Clients / API] -->|HTTP :7770| B
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G -->|HTTP :7770| E
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```
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## Servers
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| Server | GPU | VRAM / Memory | OS |
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| --------------------------------------- | ----------------------------- | ----------------------------------- | ------------ |
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| [[Dankserver System Specs\|Dankserver]] | NVIDIA RTX 3090 | 24 GB VRAM, 62 GB RAM | Ubuntu 24.04 |
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| [[Dankclaw System Specs\|Dankclaw]] | AMD Radeon 8060S (Strix Halo) | 30 GiB physical / 96 GiB GPU-visible | Ubuntu 26.04 |
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## vLLM Reference
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- [[VLLM Overview]] — installation, CLI, API, architecture, quantization, parallelism
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- [[VLLM Index]] — quick reference with commands, endpoints, and parameter table
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- [[deployment]] — deploy and update process for both servers
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## Memory Management
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- [[RAM CPU Offloading in VLLM]] — KV cache swap between GPU VRAM and system RAM
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- [[Hybrid CPU GPU Processing Dankserver]] — NVIDIA GPU compute with system RAM offload
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- [[Shared Memory Architecture Dankclaw]] — AMD unified memory and ROCm configuration
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## Model Deployment
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- [[Running Qwen3.6 35B A3B FP8 on Dankserver]] — MoE model (35B total, 3B active) on RTX 3090
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- [[Running Qwen3.6 27B FP8 on Dankclaw]] — Dense model (27B) on Strix Halo APU
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- [[frank-default-large-benchmark]] — backend/spec benchmark; chose MTP sidecar (2026-08-14) over DFlash (parallel premature-EOS bug)
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- [[frank-default-small-benchmark]] — ncmoe and batch/ubatch sweep that drove the Dankserver state
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- [[Dankclaw Improvements]] — researched enhancements: self-hosted agentic tools, runtime tuning, server/OS settings
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## Speculative Decoding & Quantization
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- [[DFlash DSpark Speculative Decoding]] — block diffusion (DFlash) and semi-autoregressive (DSpark) drafting on vLLM and llama.cpp
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- [[Quantization by Hardware Architecture]] — which quant format fits which GPU/CPU
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## Pipeline Parallelism
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- [[Pipeline Parallelism]] — index of multi-node inference research and sample scripts
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- [[Pipeline Parallelism/llama.cpp RPC]] — ggml-rpc-server + `--rpc` distributed inference
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- [[Pipeline Parallelism/vLLM Pipeline Parallelism]] — vLLM PP across machines
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- [[Pipeline Parallelism/Ethernet Bandwidth Math]] — bytes per token and link feasibility
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- [[Pipeline Parallelism/Mixed-Vendor Experiments]] — NVIDIA + Strix Halo real-world runs
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- [[Pipeline Parallelism/Expected Performance]] — estimated tok/s over 1/2.5/10 GbE
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- [[Pipeline Parallelism/Sample Script Set]] — educational two-node Qwen3.6-27B Q8 split
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