Axelera Embedded 110m
Powered by a quad-core Metis AIPU
Providing best-in-class performance, the Axelera Embedded 110m is a highly efficient and performance-enhanced inference accelerator. Powered by a single Metis AIPU and containing 1 GB DRAM dedicated memory, it minimizes power consumption and simplifies integration. It opens the door for every application to benefit from AI processing. Providing a significant boost to any vision processing system with an NGFF (Next Generation Form Factor) M.2 socket.
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Axelera Embedded 113m
Powered by a quad-core Metis AIPU
Providing breakthrough AI performance, Axelera's Embedded 113m is the ideal solution to unlock LLM and VLM applications on edge and embedded devices. Powered by the Metis AIPU and available with up to 8 GB of dedicated memory, it maximizes efficiency while minimizing power consumption. It enables multi-camera vision inference with cascaded or parallel models, opening new possibilities for intelligent applications. With secure boot, extended temperature options, and effortless software integration through the Voyager® SDK, the Embedded 113m delivers uncompromised performance and flexibility in a compact design.
The Axelera Embedded 111c with ARM-based RK3588
The Axelera Embedded 111c offers everything needed to build accurate and fast inference solutions right out of the box.
Equipped with a quad-core Metis AIPU and an RK3588 processor, this single-board computer (SBC) offers exceptional performance for demanding workloads in a compact, energy-efficient design. Its architecture includes a four-lane PCIe connection for seamless AI acceleration, making it ideal for multimodal applications using parallel or cascade model processing.
Memory is abundant with 16GB LPDDR4x dedicated to the CPU, and an added 4GB or 16GB LPDDR4x for the Metis AIPU.
Connectivity is robust, with four USB ports, HDMI 2.0, dual Gigabit LAN, and versatile GPIO, UART, and I2C interfaces. Storage is equally flexible, featuring 64GB onboard eMMC, two SATA ports, and a microSD slot. Paired with Axelera’s Voyager® toolchain, the board simplifies AI model deployment and optimization, ensuring faster prototyping and reduced time-to-market. Whether running TensorFlow, PyTorch, or ONNX models, developers benefit from a scalable, ready-to-deploy platform that balances efficiency, versatility, and power in edge AI compute.
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SBC with integrated Metis AI accelerator
A single-board computer (SBC) based on a Metis AIPU with a four-lane PCIe connection to the CPU makes it possible to run high performance inference tasks, suitable for running multi-stream and multi-model applications.
Local compute for Edge/IoT devices
Compact form factor SBC for low system complexity. With exceptional energy efficiency, the Metis Compute Board is designed for devices at the Edge that require intense compute resources.
ARM-based application processor
Powered by two quad-core ARM Cortex CPUs for general-purpose processing, the board is powerful enough to support nearly any use case, while ensuring compatibility with diverse application requirements.
Broad range of interfaces
Multiple connectivity options, including four USB ports, HDMI 2.0 port, and two gigabit LAN ports for networks and peripherals. Other interface capabilities include: UART, I2C, GPIO options make it simple to connect to and integrate with sensors and other peripherals.
Complete development stack
Including a Board Support Package (BSP) and the Axelera Voyager SDK the Metis Compute Board makes a complete platform to accelerate deployment, reduce development overhead, and simplify system integration.
Scalable platform
The Metis platform is designed to be adaptable to evolving AI needs. With its unique architecture based on RISC-V and D-IMC (digital in-memory compute), Axelera AI’s model zoo is continuously evolving to support the latest and most demanding neural networks.