Scalable Multi-GPU Framework Enables Encrypted Large-Model Inference

This research presents a significant advancement in privacy-preserving AI, allowing for scalable and efficient inference on encrypted large models using multiple GPUs. The development of such a framework is crucial for secure and confidential AI applications.

• •Enables secure inference of large language models.
• •Utilizes multi-GPU architecture for scalability.
• •Addresses privacy concerns through encryption.