BrainChip Unveils AKD1500 SPI for Edge AI Devices

LAGUNA HILLS, Calif., Oct. 22, 2026 /CourierPR/ -- BrainChip Holdings Ltd. has unveiled the AKD1500 SPI, a co-processor that brings Akida neuromorphic artificial intelligence (AI) to everyday edge devices such as wearables and smart home devices. This new addition to the AKD1500 family aims to simplify the integration of AI into existing microcontroller-based systems without the need for a processor redesign.

The AKD1500 SPI is designed to work alongside the microcontroller already present in most devices. It uses the SPI (Serial Peripheral Interface) interface, a standard found in most microcontrollers, to enable device makers to add AI capabilities with a single chip. This approach allows for the addition of AI without the need for a complete redesign, making it easier for manufacturers to incorporate advanced AI functionalities into their products.

One of the standout features of the AKD1500 SPI is its ability to perform edge learning. This means that devices can learn new words, sounds, users, or patterns directly on the chip, without sending data to the cloud or retraining the model. This capability enhances the device's responsiveness and efficiency, making it particularly useful in applications where real-time processing is critical.

The AKD1500 SPI is part of a family of processors that includes the AKD1500 PCIe for M.2 and multi-chip designs. Together, these processors allow device makers to run the same AI tasks on anything from a smartwatch to a multi-chip edge system, all with a SPI interface. This flexibility is crucial for manufacturers who need to ensure that their products can perform consistently across a wide range of applications.

The AKD1500 SPI, along with its family of processors, is designed to meet these demands by providing efficient and precise AI processing.

The AKD1500 SPI is particularly suited for applications where on-chip learning is essential, such as robotics, industrial systems, and space-grade systems. It allows teams to bring the efficiency and on-chip learning capabilities of the AKD1500 into these environments without the need to replace the host processor.

ABI Research forecasts that chipset shipments of TinyML AI, which are lightweight machine learning models deployed directly onto ultra-low-power microcontrollers, will surpass 4.1 billion units by 2031. Dedicated AI processors, such as the AKD1500 SPI, are expected to be the fastest-growing part of this segment. BrainChip has built the AKD1500 family around how products are actually designed, ensuring that the SPI interface connects to the MCU a team already uses, and the PCIe serves systems that need more performance.

This new co-processor is set to revolutionize the way AI is integrated into everyday devices, making it easier for manufacturers to incorporate advanced AI functionalities into their products.