CUTLASS 4.4.2

CuTe DSL

• New features
  • CuTe DSL now supports Python 3.14 for both x86_64 and aarch64
  • Runtime Pointer/Tensor/FakeTensor now supports cache_key, providing a stable, hashable representation that simplifies and improves compiled function caching.
• Bug fixing and improvements
  • Fixed Hopper FMHA causal attention performance regression on CUDA toolkit 13.1 by
    optimizing mbarrier synchronization to avoid unnecessary convergence barriers.
  • Fix kernel loading race condition when multiple GPU are present in the same process in JAX.

CUTLASS C++

• Enable Blackwell SM120f compilation of examples and exposes NVFP4/MX Grouped GEMM in the CUTLASS Profiler.