The cost of running AI models locally has significantly increased due to a severe RAM shortage, with prices for essential components like memory kits and high-end GPUs doubling in the past six months. This shortage, driven by AI datacenters consuming a large portion of global memory supply, has rendered previously recommended hardware configurations, such as the 64GB Mac Mini and RTX 3090, less viable or discontinued by manufacturers like Apple. Consequently, older GPUs are now presenting better value, and the market has shifted, making even expensive consumer cards a poor investment compared to their previous cost-effectiveness. AI
IMPACT Increased costs for RAM and GPUs due to datacenter demand make local AI model deployment more expensive and shift hardware value.
RANK_REASON Article discusses hardware costs and availability for running AI models locally, which is a tool-related topic.
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