FactNode
FactNode Engineering PublicationPeer-Reviewed Systems Research

Architectural Clarity for Distributed Cloud, Kernel & AI Systems

Deep technical analyses, reproducible hardware benchmarks, and production post-mortems written by principal engineers.

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01. DEPARTMENT2 Essays

AI Systems

Frontier LLM inference engines, GPU kernel optimization, disaggregated KV-cache architectures, and production ML systems.

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02. DEPARTMENT1 Essay

Cloud Architecture

Multi-region distributed consensus, cloud-native networking, Kubernetes scheduler internals, and high-availability infrastructure.

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03. DEPARTMENT1 Essay

Software Engineering

Memory-safe systems programming in Rust, Linux kernel asynchronous I/O, lock-free data structures, and performance engineering.

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