Source: Slashdot: Hardware
The surge in RAM costs reflects datacenter operators and AI companies bidding up limited supply to train and run large language models. Memory has become a genuine bottleneck in the AI infrastructure buildout rather than a commodity component. This pricing pressure is accelerating vertical integration—cloud providers building their own chips—and making smaller AI startups dependent on expensive cloud APIs rather than self-hosted infrastructure. AI capability is concentrating further among well-capitalized players.