Geniatech's M.2 AI accelerator module, powered by Kinara's Ara-2 NPU, delivers 40 TOPS INT8 compute performance at low power consumption. It enables generative AI and multi-model deployment at the edge for embedded systems and industrial devices. Priced at $168.
-- Geniatech, a leading provider of embedded solutions and AI technologies, today announced the official commencement of pre-sales for its highly anticipated AIM-M2 module, powered by the cutting-edge Kinara Ara-2 Neural Processing Unit (NPU). Following a successful trial production phase, the first shipments of this advanced AI inference accelerator are confirmed to begin on September 25, 2025. This launch marks a significant leap forward in edge AI deployment, offering developers a powerful tool to enhance computational performance and run advanced generative AI and complex inference tasks directly on-device.
The AIM-M2 is an M.2 2280 form-factor AI accelerator module designed to deliver an impressive 40 TOPS (Trillions of Operations Per Second) of INT8 performance while operating within a remarkably low power envelope. This exceptional efficiency makes it an ideal solution for running substantial AI models, such as large language models (LLMs) and diffusion models, with minimal latency and without reliance on cloud connectivity. Its compact and versatile design allows for seamless integration into a wide array of host systems, including embedded platforms, compact mini-PCs, industrial automation gateways, and AIoT devices that support the standard M.2 interface (M-Key). The plug-and-play nature of the module significantly simplifies the upgrade path for existing hardware, allowing developers to inject powerful AI capabilities into their products with minimal engineering overhead.
A key strength of the AIM-M2 lies in its ability to efficiently process multiple models concurrently without experiencing significant performance degradation. This multi-model flexibility is crucial for modern applications that require simultaneous workloads, such as object detection, semantic segmentation, and natural language processing, all on a single device. To support a rapid and hassle-free development and evaluation process, Geniatech bundles the module with robust, production-ready drivers and a comprehensive Software Development Kit (SDK). This complete package ensures developers can quickly deploy and benchmark popular models including but not limited to Stable Diffusion and LLaMA-2, positioning the AIM-M2 as a versatile and future-proof option for prototyping and commercial deployment.
Committed to democratizing advanced AI acceleration, Geniatech has priced the AIM-M2 at an accessible $168. This competitive price point, combined with the included software support, underscores the company's dedication to providing cost-effective and powerful technology solutions. With the launch of the AIM-M2, Geniatech empowers developers, startups, and enterprises to enhance their AI capabilities efficiently, fostering innovation and helping them maintain a competitive edge in the rapidly evolving landscape of artificial intelligence.
For developers and businesses interested in leveraging the AIM-M2 to advance their edge AI applications, detailed technical specifications, benchmarking results, and purchasing information are now available on Geniatech’s official website. https://shop.geniatech.com/product/m2-ai-inference-acceleration-module/
About the company: Founded in 1997, Geniatech is a global leader in embedded and IoT hardware solutions, specializing in industrial single board computers, system-on-modules, AI edge devices, and E Ink display systems. With decades of experience in hardware design, software integration, and OEM/ODM services, Geniatech delivers customized solutions for industries including smart manufacturing, intelligent transportation, digital signage, and industrial automation. Headquartered in Shenzhen, China, with offices and partners worldwide, Geniatech is committed to enabling next-generation connected devices with reliability, performance, and innovation at their core. For more information, visit https://www.geniatech.com/.
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