Infrastructure

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.

Les systèmes d’IA de production dépendent bien plus que des modèles et des prompts.

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

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