Super Protocol is a confidential and self-sovereign AI cloud and marketplace that enables AI projects to collaborate and allows AI developers and data providers to process and monetize models and datasets — with full privacy, ownership, and control for everyone involved.
Its decentralized, programmatically orchestrated infrastructure enables confidential workloads to run across independently operated nodes, eliminating reliance on a single cloud provider. This architecture ensures security, scalability, and flexibility for AI development and deployment.
For this project, Super Protocol leveraged confidential computing infrastructure to run workloads across two independently operated and physically distributed locations:
Gcore colocation: hosting Exxact 2U servers, paired with NVIDIA H100 GPUs and 5th Gen Intel Xeon Scalable CPUs, operated by an independent TEE provider
Engage Stack cloud: equipped with a Lenovo SR680a HGX 8-GPU system, paired with NVIDIA H200 GPUs, 5th Gen Intel Xeon Scalable CPUs, and 4 NVSwitch modules.
All systems operated in confidential computing mode, using Intel TDX and GPU TEEs, and were deployed on Ubuntu OS — ensuring trusted, verifiable AI execution across a distributed, multi-provider environment. ensuring trusted and verifiable AI execution across a distributed, multi-provider environment.
All systems operated in confidential computing mode, using Intel TDX and GPU TEEs, ensuring trusted and verifiable AI execution across a distributed, multi-provider environment.
Blockchain infrastructure is crucial for enabling the algorithmic, trustless orchestration of the confidential computing network. Super chose opBNB Chain, a high-performance Layer 2 solution within the BNB Chain ecosystem, for its speed and enterprise-grade reliability, delivering high transaction volumes seamlessly for Super's clients.
This case study demonstrates how Super Protocol's confidential AI cloud, combining advanced TEE hardware (NVIDIA GPUs and Intel TDX) with decentralized orchestration, can unlock critical data, enhance AI capabilities, and drive significant business outcomes in privacy-sensitive industries like advertising analytics.