I released Graviola 0.4.0 yesterday, with a new and quite quick ML-KEM-768 implementation. More perf work to do on this, but it is already quicker than libcrux-ml-kem, and competitive with mlkem-native on ARM64. And still builds mega fast! Consider supporting this work on https://github.com/sponsors/ctz See https://crates.io/crates/graviola or updated benchmark results on https://jbp.io/graviola/