Source: Hackaday
The ability to execute generative models on devices like the Raspberry Pi RP2350—which costs under $15—eliminates the infrastructure moat that made cloud AI providers defensible. It means real privacy (no data transmission to servers), genuine customization (models tuned for specific tasks), and genuine cost reduction for resource-constrained applications like embedded systems, IoT devices, and edge hardware. The constraint shifts from capability to optimization—the winner won't be the one with the largest model, but the one who can compress useful intelligence into kilobytes instead of gigabytes.