BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in ultra-low power, fully digital, event-based neuromorphic AI, has unveiled its latest innovation—the AKD1500, a neuromorphic Edge AI co-processor chip—at Embedded World North America in Laguna Hills, California. Designed to deliver high performance with minimal power consumption, the AKD1500 achieves 800 gigaflops per second (GOPS) while operating under 300 milliwatts, setting a new benchmark for efficiency in edge AI hardware. This breakthrough makes the AKD1500 particularly well-suited for battery-powered wearables, smart sensors, and other heat-sensitive environments where power and thermal constraints are critical. The chip integrates seamlessly with existing x86, ARM, and RISC-V host platforms via PCIe or serial interfaces, enabling rapid deployment across diverse applications without requiring a complete system overhaul. The co-processor architecture allows for easy upgrades to multi-processor SoCs in defense, industrial, and enterprise systems, as well as enhancements to embedded microcontrollers in healthcare, consumer electronics, and wearable devices. The AKD1500 has already been integrated into several real-world solutions for AI-enabled sensing in medical and defense applications, including projects with Parsons, Bascom Hunter, and Onsor Technologies. “The AKD1500 is a catalyst for the next wave of intelligent AIoT devices,” said Sean Hehir, CEO of BrainChip. “We’re empowering developers to break free from cloud dependency and bring adaptive learning directly to the edge in a compact, cost-effective package. This technology will make AI truly ubiquitous in smart factories, homes, and wearable devices.” Anand Rangarajan, Director of AI & IoT Compute at GlobalFoundries, praised the collaboration: “BrainChip’s AKD1500 on our 22FDX® platform delivers outstanding compute and memory efficiency. Embedded developers are constantly innovating to meet performance, power, and area constraints. By combining BrainChip’s neuromorphic architecture with GlobalFoundries’ advanced process technology, the AKD1500 offers an exceptional balance of performance, power efficiency, and cost—perfect for edge deployment.” The AKD1500 is supported by BrainChip’s MetaTF™ software development environment, which enables machine learning engineers to convert, quantize, compile, and deploy models using standard TensorFlow and Keras formats. This streamlined workflow significantly reduces development time and lowers barriers to entry for AI developers. A key differentiator of the AKD1500 is its on-chip learning capability, powered by BrainChip’s event-based Akida™ neuromorphic architecture. Unlike traditional AI accelerators that rely solely on cloud-based training, the AKD1500 can adapt and learn in real time at the edge, making it ideal for dynamic, real-world environments. Samples of the AKD1500 are now available, with volume production scheduled for Q3 2026. BrainChip’s Chief Development Officer, Jonathan Tapson, will present “The Impact of GenAI Workloads on Compute-in-Memory Architectures” at Embedded World North America on November 4th. For more information, visit BrainChip’s booth (3080) to see a live demo of the AKD1500, explore free tutorials, tools, and models on the BrainChip developer site, or visit the Embedded World North America event page. BrainChip is a pioneer in neuromorphic Edge AI, delivering on-chip processing and learning that mimics the human brain. Its Akida™ processor uses event-based, time-sensitive neural networks (TENNs) built on State-Space Models (SSMs), making it highly effective for real-time streaming applications. The technology is enabling transformative advances across aerospace, autonomous vehicles, robotics, industrial IoT, consumer electronics, and wearable devices—bringing intelligent AI closer to the sensor and closer to real time. Learn more at www.brainchip.com. Follow BrainChip on Twitter or LinkedIn for updates.