Secure AI Workloads with Confidential VMs

Explore how confidential AI addresses data privacy concerns in cloud-based machine learning tasks during this 50-minute webinar. Learn about hardware-rooted execution environments spanning both CPU and GPU, enabling secure processing of sensitive data for medical diagnoses, financial risk assessments, and other crucial domains. Discover how Ubuntu confidential AI allows for ML training, inference, confidential multi-party data analytics, and federated learning while maintaining data privacy and protecting intellectual property. Gain insights into overcoming industry regulations that prohibit data sharing, unlocking the full potential of AI across various sectors.