AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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We introduce FORGE (Fast On-chip Rotor Generation for Experts), a procedural weight generation system for Sparse Mixture-of-Experts (MoE) inference. Rather than storing and loading every expert weight tensor from HBM, we show how a compact accelerator inside each Streaming Multiprocessor can regenerate them on-the-fly...
The economic theory of LLM pricing treats tokens as a homogeneous commodity considering aggregate token count as the main features buyers and sellers consider. We model inference as a service market where buyers have three-dimensional private information - willingness-to-pay, task volume, and time preference - and util...
Rosetta is presented, a multi-agent LLM pipeline that automatically generates first-principles analytical models from research paper PDFs, and four design decisions address failure modes of na\"ive LLM-based generation.
PerfReasoning is introduced, a benchmark that evaluates LLMs both as direct performance reasoners and as generators of analytical performance-model code, exposing the gap between plausible architectural reasoning and reliable performance-model construction.
Gauntlet, an open-source pipeline that analyzes a paper through five independent expert-persona reviewers and an adversarial synthesis stage is studied, and a 98-paper automated ablation shows the gain comes from the multi-agent structure.
A general method for adapting among microarchitectural policies as an additional pathway for processor improvement, distinct from structural resizing is suggested.
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