Apple Silicon 10x pricier than OpenRouter
Local LLM inference costs 3x-10x more than cloud providers when factoring in hardware depreciation. A viral analysis shows that while M-series chips are efficient, they cannot compete with industrial data center scale and plummeting cloud token prices.
Local-first AI is hitting an accounting wall as hardware depreciation accounts for over 90% of inference costs, far outweighing electricity. Industrial GPU clusters provide superior efficiency and double the throughput of consumer-grade unified memory for large models. With cloud prices dropping 10x annually, the massive "privacy premium" for local hosting makes Apple Silicon hard to justify compared to the significant productivity gap offered by cloud providers.
DISCOVERED
13h ago
2026-05-17
PUBLISHED
17h ago
2026-05-17
RELEVANCE
AUTHOR
datadrivenangel