ai inference leaves behind massive storage costs
enterprises struggle to keep up with data created by ai inference, which can leave behind 130x more data than the output file size. this hidden cost can outpace compute budgets.
ai inference creates a significant data storage challenge for enterprises. for example, an 8-second ai-generated video clip can leave behind over 500mb of associated data, a 130x increase over the output file size. as inference scales, the data footprint grows, with mckinsey projecting ai inference demand to grow at a 35% cagr through 2030. a recent survey found that 95% of respondents reported an increase in data volume due to generative ai, with 61% reporting growth of 25% or more. this hidden cost can outpace compute budgets, making storage a critical infrastructure cost that requires attention.