The Raspberry Pi AI Kit [1] consists of two components: a generic M.2 HAT+, an adaptor board that lets you connect any two M.2 modules (e.g., for NVMe storage) to the Raspberry Pi 5 and therefore directly to the PCI bus, and a Hailo-8L AI accelerator, which could also be installed on any other computer with an M.2 interface. This entry-level AI chip achieves a performance of 13 TOPS, which is half the number of tera-operations per second that you'd get with the standard Hailo-8 model.

As a first step, you need to assemble the system. Fit the four spacers, a GPIO extension connector, and a PCIe extension cable on the Raspberry Pi. Then slot the M.2 HAT+ onto the spacers and plug the ribbon cable into the connector on the HAT. Figure 1 shows the fully assembled, working system.

Figure 1: This is what the fully assembled AI HAT looks like.

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