Embedded Acceleration

Deploying AI on edge devices and embedded equipment requires achieving fast and stable operation within limited CPU performance, memory, and power resources. Leveraging our expertise in both AI and embedded AI, we provide end-to-end support from AI model optimization to hardware-specific implementation and tuning.

Common Client Challenges

  • Cannot run on embedded
    devices or edge environments

  • It runs but
    processing speed is unstable

  • Want to implement
    AI models on devices
    with limited memory

Benefits of Acceleration

  • Maximum performance
    from limited resources

    Even on edge devices and small embedded equipment with limited memory and computational power, optimization enables AI model implementation and operation. This allows AI deployment on devices previously considered underpowered.

  • Significant product value improvement

    Through AI model optimization, for example, if a factory defect inspection could only process once every 5 seconds, it could become once per second, dramatically improving the entire line's processing capacity and product value.

  • Smoother UX/UI

    Faster embedded AI processing reduces lag, making responses to operations smoother. The dramatically improved device responsiveness also leads to increased operational efficiency.

Support Details

  • AI model optimization

    Provide us with your AI model, source code, and target device, and we will optimize it for proper operation on the device.

  • Meticulous instruction-level optimization

    We analyze assembly code and reduce the number of instructions in the software pipeline to decrease processing load, achieving fast and stable operation.

  • Fundamental acceleration through algorithm redesign

    Beyond reducing instruction counts, we redesign the computational algorithms themselves to significantly reduce the overall computational load, achieving fundamental improvements.

  • Flexible optimization and incremental performance improvement

    While reviewing source code, we incrementally tune even already-optimized code to further improve performance. From instruction-level reduction to complete algorithm redesign, we push acceleration to its limits through repeated improvement cycles.

Our Strengths

Software acceleration experts
specializing in AI & embedded implementation

Backed by deep expertise in semiconductor development, ailia delivers fundamental optimization and acceleration across both AI and embedded implementation. Our highly skilled engineers provide technically precise proposals and services for fast, efficient implementation tailored to each client's challenges.

Axell Semiconductor Development X ailia AI Development

  • Optimization from both
    AI and embedded perspectives

    Because we understand both AI model architecture and algorithms as well as the constraints of embedded hardware, we can accurately identify bottlenecks that traditional methods often overlook, and optimize them in the most effective way.

  • Abundant talent in
    computer science

    In addition to deep technical understanding of AI and embedded domains, we have a wealth of engineers who can accurately grasp each client's specialized field and provide optimal technical proposals. We assign the right talent for each project, with a support structure that responds quickly to your needs.

  • A fundamental approach leveraging
    semiconductor development expertise

    ailia evolved from a veteran semiconductor company into an AI-focused organization. Leveraging semiconductor development know-how, we use hardware knowledge as a foundation to tackle software issues and optimize to the limit.

Our Services

  • AI / Deep Learning Acceleration

    Achieving acceleration by optimizing and implementing AI models

    We optimize trained AI models for efficient operation on specific devices. We handle everything from model quantization to implementation in an integrated manner.

    Learn more about AI / Deep Learning Acceleration

  • Embedded Acceleration

    Achieving stable operation in constrained embedded environments

    Even on embedded devices with limited CPU performance and memory, we optimize from both AI and hardware perspectives to achieve fast and stable processing.

    Learn more about Embedded Acceleration

  • Image Processing Acceleration

    Accelerating the entire image processing pipeline including pre/post-processing

    By optimizing not only AI but also image pre-processing and post-processing, we streamline overall processing for camera-based applications in inspection, surveillance, and more.

    Learn more about Image Processing Acceleration

  • GPU Acceleration

    Dramatically accelerating computation with GPU power

    For simulations, analytics, and other tasks, we maximize GPU parallel processing capabilities to achieve speeds impossible with CPU alone.

    Learn more about GPU Acceleration