System breakdown
Inside Local LLM Inference: GGUF Quantization, FlashInfer Kernels & RadixTree KV Reuse
An evidence-audited, 20-diagram interactive system breakdown tracing GGUF super-block quantization (Q4_K_M, IQ4_XS), SIMD & FlashInfer CUDA kernel dequantization, SGLang RadixTree prefix caching, speculative decoding verification loops, and NUMA-aware CPU/GPU memory offloading.
28 min read Verified 2026-07-21 4 primary sources
Canonical System Breakdown
Local LLM Inference Engines (Ollama, llama.cpp & SGLang) Architecture Evidence
RELEASE b2850
5 CHAPTERS · 15 NODES · 10 EDGES
Ingress Security
HMAC SHA256
Constant-time verify (<50ms)
Async Queueing
Sidekiq + Redis
Multi-queue priority isolation
Real-time Fanout
ActionCable Pub/Sub
Redis backplane state broadcast
AI Action Engine
ActionService LLM
Streaming copilot replies (SSE)
Core Stack:Rails 7.1•Sidekiq 7•Redis 7.2•PostgreSQL 16•Vue.js 3
5 Verified Architectural Claims
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Archify Interactive Mapv2.16.0
Inside Local LLM Inference: GGUF Quantization, FlashInfer Kernels & RadixTree KV Reuse — Archify Interactive System Map
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