tinyML Talks: Accelerate ML development with cloud-based Arm Cortex-M models
Accelerate ML development with cloud-based Arm Cortex-M models
Matthias Hertel
Product Specialist
Arm
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: • tinyML Talks: Get Ahead of the Curve: Deve...
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