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Silicon and Platform Software

Silicon and Platform software provides the essential runtime environment, tools, and frameworks required to maximize the capabilities of silicon hardware. Key aspects include:

Firmware and Drivers:

  • Low-level software that interfaces directly with hardware components to provide abstraction layers for higher-level applications.

  • Optimized drivers ensure seamless interoperability with AI workloads and operating systems.

  • Regular firmware updates enhance performance, fix vulnerabilities, and add new features.


Operating System Support:

  • Compatibility with major operating systems, including Linux and real-time OS (RTOS), ensures flexibility in deployment.

  • Platform software offers tailored support for AI edge deployments with minimal overhead.

  • Real-time kernel optimizations provide predictable performance for time-sensitive applications.


AI Framework Integration:

  • Support for popular AI/ML frameworks such as TensorFlow Lite, PyTorch, and ONNX to facilitate rapid application development.

  • Hardware-optimized libraries enhance performance across various AI workloads.

  • Pre-trained model compatibility and customization tools enable seamless AI deployment.


Power Management:

  • Intelligent power management features optimize energy consumption based on workload demands.

  • Dynamic power scaling and adaptive resource allocation ensure efficient operation in edge environments.

  • Low-power modes and predictive energy management reduce operational costs and extend device lifespan.


Security Enhancements:

  • Secure boot, runtime integrity checks, and cryptographic libraries protect sensitive AI data and models.

  • Compliance with industry security standards for edge AI applications.

  • Multi-layer authentication mechanisms ensure only authorized access to critical system components.

Contact Us

 Address. 2005 WAMA IBBANEE APARTMENT, Kasavanahalli,

Bengaluru, Karnataka 560035, India

Tel. +91 89515 67352

© 2025 by ReLU Systems. All rights reseverd.

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