GPU-less, Trust-less, Limit-less - Reimagining the Confidential AI Cloud

Explore how to deploy private AI models and handle sensitive data in public cloud environments without sacrificing control or relying on blind trust through this comprehensive conference talk. Learn about the concept of "GPU-less" infrastructure, which doesn't mean eliminating acceleration but rather achieving freedom to collaborate and deploy private AI workloads in a confidential, self-sovereign AI cloud with open, on-chain guarantees. Discover the foundations of Confidential AI and examine real-world implementations that eliminate GPU-provider lock-in and black-box execution through algorithmic, sovereign infrastructure where the confidential cloud operates as a protocol rather than a service. Follow along with four practical demonstrations using Super Protocol: deploying models with confidentiality verification through an AI marketplace, building healthcare AI workflows with n8n for sensitive data processing, implementing distributed vLLM inference across multiple GPU servers with zero data exposure, and training on sensitive medical datasets while generating verifiable on-chain proofs. Gain insights into leveraging Confidential AI technology today to unlock new possibilities for secure, decentralized AI deployment and understand how to maintain complete control over your AI workloads without depending on centralized cloud providers.