SPU
A provable, measurable secure computation device that enables privacy-preserving tensor operations using multi-party computation (MPC).
What is SPU?
SPU (Secure Processing Unit) is a secure computation device that provides privacy-preserving tensor operations using multi-party computation (MPC). It enables computations on sensitive data without exposing the raw information, serving as the underlying engine for frameworks like SecretFlow to facilitate secure machine learning and data analysis.
Researchers and developers working on privacy-preserving machine learning, secure multi-party computation, and confidential data analysis who need a provably secure computation runtime.
SPU offers provable and measurable security guarantees through its MPC-based evaluation engine, making it a trusted foundation for building privacy-first applications without sacrificing computational capabilities.
Overview
SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
Use Cases
Best For
- Building privacy-preserving machine learning pipelines
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