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Ghostlink: Distributed LLM Inference Fabric for Heterogeneous Clusters
Deep Dive of rwilliamspbg-ops · 19 сентября 2026 г. · 37 мин
Here is what makes Ghostlink a game-changer: Zero-Config Distributed Inference: No manual setup or complex --rpc flags[2][6]. The network automatically discovers peers via UDP/mDNS and splits models using llama.cpp's native RPC backend[2]. Sub-Microsecond Core Primitives: Built in Rust with lock-free Single-Producer Single-Consumer (SPSC) ring buffers with spin-wait for DMA-style handoffs[6]. Enterprise-Grade Security: Fronted by a secure Go control-plane gateway featuring rate limiting, real bearer-token auth, and an opt-in PQC-hybrid (X25519MLKEM768) key exchange preference TLS[10]. Built-in Monaco Editor & Local RAG: An in-GUI code editor that lets you browse, edit, and refactor files with interactive side-by-side diff previews[6][13]. Plus, a built-in RAG server auto-indexes your workspace for repo-aware chat context[6][13] Become a supporter of this podcast: https://www.spreaker.com/podcast/deep-dive-of-rwilliamspbg-ops--7123568/support . https://github.com/rwilliamspbg-ops