BrainChip AKD1500 Now Available in Compact M.2 Form Factor, Enabling Fanless Edge AI in Industrial and Commercial Designs
Lower-cost, lower-power edge AI accelerator gives designers a plug-and-play path to upgrade legacy systems to Akida
LAGUNA HILLS, Calif. – July 28, 2026 — BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in ultra-low power, fully digital, event-based neuromorphic AI, today announced that its AKD1500 chip based on the Akida™ neuromorphic processor is now available in the compact M.2 form factor, enabling fanless, plug-and-play edge AI for industrial and commercial designs.
The new AKD1500 M.2 module is positioned as a low-cost, ultra-low-power edge AI accelerator available for plug-and-play deployment in the smallest M.2 standard socket, giving hardware designers a drop-in path to add on-device AI to legacy systems without redesigning the power supply or cooling solution.
Cutting Power and Cost Without Cutting Corners
The design approach enables fanless operation in portable and stationary designs. It supports small-form-factor designs for on-device AI without a complete thermal and power redesign.
“Power and price have been the two biggest barriers keeping AI out of fanless industrial equipment and battery-powered commercial devices,” said Steve Brightfield, chief product officer at BrainChip. “With AKD1500 in the M.2 form factor, engineering teams can add capable, on-device AI to an existing design without touching the power supply or the cooling solution. That’s the difference between a multi-quarter redesign and a drop-in upgrade.”
Industry Backdrop
The launch comes as industrial and commercial edge AI adoption accelerates. Manufacturing is projected to generate nearly $25 billion in edge AI chipset revenue by 2031, the largest of any market vertical, according to ABI Research’s 2Q 2026 edge AI chipset market update. This is driven in part by the need for specialized, power-efficient silicon in complex, device-dense industrial environments where average selling prices run higher than in consumer categories.
ABI also notes that edge AI’s ultra-low-latency capabilities are becoming essential to scale industrial applications such as robotics, workplace safety monitoring and preventative maintenance. The researcher also finds that growing industrial IoT deployment is driving demand for low-power, high-performance semiconductor solutions the AKD1500 M.2 module is designed to deliver.
Smallest Form Factor, Broadest Reach
AKD1500’s M.2 availability reinforces BrainChip’s positioning as the efficient AI solution that can be easily added to a legacy system, extending neuromorphic, on-chip learning to industrial and commercial designs that cannot accommodate the power draw, heat or cost of conventional edge AI accelerators.
AKD1500 ships in the smallest M.2 2230 (22×30 mm) form factor with a B+M key edge connector, making it suitable for a neuromorphic accelerator and freeing up M.2 slots typically reserved for memory and modems. This allows tablets and other portable, connectivity-dependent devices to be upgraded with on-device AI without sacrificing storage or wireless connectivity, a common trade-off with larger accelerator modules.
Availability
The AKD1500 M.2 module is available now through BrainChip’s web store.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in neuromorphic Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition and processing data with unmatched efficiency, precision, and energy economy. BrainChip’s Temporal Event-based Neural Networks (TENNs) build on State-Space Models (SSMs) with time-sensitive, event-driven frameworks that are ideal for real-time streaming applications. These innovations make low-power Edge AI deployable across industries such as aerospace, autonomous vehicles, robotics, industrial IoT, consumer devices, and wearables. BrainChip is advancing the future of intelligent computing, bringing AI closer to the sensor and closer to real-time.
Explore more at www.brainchip.com. Follow BrainChip on Twitter or LinkedIn.
Media Contact:
Madeline Coe
PRforBrainchip@bospar.com
