Arm Virtual Hardware provides accurate models of Cortex-M based processors for application developers to build and test software without hardware. Arm Virtual Hardware seamlessly integrates into desktop IDE-based development as well as into cloud-hosted CI/CD and MLOps workflows. All models provide the Virtual Streaming Interface (VSI), a Python-scriptable peripheral. VSI can feed in real-world or synthetic data into the ML application, allowing complex, large-scale test and validation of inference engine integration and model design.
Learn how the TensorFlow OSS project leverages Arm Virtual Hardware to improve Arm Cortex-M based target optimizations.
For an overview of Arm Virtual Hardware and the opportunities it presents, watch Stefano Cadario’s tinyML tech talk on-demand: https://youtu.be/W7DVYHGvw-g
Schedule
Timezone: PST
Accelerate ML development with cloud-based Arm Cortex-M models
Matthias HERTEL, Product Specialist
Arm
Matthias HERTEL, Product Specialist
Arm
Matthias Hertel is Product Specialist for microcontroller tools at Arm. He brings nearly two decades of experience with software development solutions for Arm-based microcontrollers, most currently exploring how to make ML and IoT workflows more efficient with cloud-native methodologies.
Schedule subject to change without notice.