Infrastructure

A performance engineering hub for running LLMs efficiently: runtime behavior, bottlenecks, benchmarks, and the real constraints that shape throughput and latency.

Strategic guide to hosting large language models locally with Ollama, llama.cpp, vLLM, or in the cloud. Compare tools, performance trade-offs, and cost considerations.

A hub for compute hardware analysis covering GPUs, CPUs, memory trends, and AI-focused workstation infrastructure.

프로덕션 AI 시스템은 모델과 프롬프트보다 훨씬 더 많은 요소에 의존합니다.