The money leaves the model for the machine: Anthropic is reported to be weighing a $10bn compute lease from Meta, Databricks prints a $188bn valuation on open-weight economics, and the first GPU financiers rotate into inference-chip-backed debt

Anthropic is reportedly in talks to lease roughly $10bn of computing capacity from Meta, according to Data Center Dynamics, a frontier AI lab renting compute from a rival turned cloud. The same day, Databricks raised at a $188bn valuation while publishing research on the falling cost of open-weight models for coding, and a $400m deal showed the first GPU financiers rotating their collateral from training chips to inference silicon. The through-line: capable models are becoming a cheap, swappable input while the money pools in the compute, memory, power and debt underneath. Also: US lawmakers move to ban Chinese memory chips as India's smartphone market seizes up from the AI-driven memory crunch; and Bank of America and PJM's overseers warn data-center power demand is outrunning the grid.