Dedicated accelerator hardware for artificial intelligence and machine learning (AI/ML) algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle valuable data and models, and face a growing threat landscape putting AI/ML assets at risk. Using fundamental cryptographic security techniques performed by a hardware root of trust can safeguard these assets from attack.
Download the white paper to:
Learn about the threats to AI/ML assets
Review features and benefits of a hardware root of trust
Explore use cases for safeguarding AI/ML hardware, software and data
The flyback topology is a versatile, widely used, switched-mode power-supply design with some interesting characteristics that brings performance and BOM advantages to many applications...
Stricter guidelines imposed by version 3 of the IEC standard for harmonic current emissions push designers to embrace power-factor-correction methodologies.
