A major challenge of zkML is the performance bottleneck. Many libraries can generate proofs, but often take too long, making them unsuitable for real-time scenarios. Lagrange's DeepProve demonstrates a strong advantage in this regard.
According to official data, DeepProve's proof generation speed is up to 158 times faster, and verification speed is up to 671 times faster, showing an order of magnitude difference compared to traditional zkML frameworks. This means that in real-time financial transactions, medical diagnostics, and other scenarios, DeepProve can not only ensure correctness but also maintain efficiency.
This performance advantage is the key leverage for Lagrange to enter the production market.
