Quel matériel et pour quel prix en 2026 pour faire de l’IA en local
Summary
This article surveys how to buy and configure local AI hardware in 2026, emphasizing memory as the key resource and detailing memory thresholds for various model sizes, bandwidth considerations, and energy costs. It compares GPU-based desktop options, mini-PCs with unified memory, and edge devices, while warning about memory price volatility and software compatibility. It also offers practical strategies: buy used GPUs for value, or delay local deployment and use APIs to save costs, with a focus on total cost of ownership.