cuda-cccl Python package — version 0.7.0

Release date: May 5th, 2026. Previous release: v0.6.0.

cuda-cccl is in "experimental" status, meaning that its API and feature set can change quite rapidly.

Installation

Please refer to the install instructions here

API breaking changes

• All cuda.compute functions now require keyword-only arguments (#8772)

  Every top-level function and factory (make_*) in cuda.compute now enforces keyword-only call
  syntax (i.e., all parameters must be passed by name). Positional calls will raise a TypeError.

  Before:

  reduce_into(d_in, d_out, op, num_items, h_init)

  After:

  reduce_into(d_in=d_in, d_out=d_out, num_items=num_items, op=op, h_init=h_init)

Features

• System CUDA toolkit install extras — New pip extras sysctk12 / sysctk13 (and
  minimal-sysctk12 / minimal-sysctk13) allow installing cuda-cccl without pulling in
  cuda-toolkit as a pip dependency, for users who already have CUDA installed system-wide
  (#8608):

  pip install cuda-cccl[sysctk13]          # full install, system CTK
  pip install cuda-cccl[minimal-sysctk13]  # no Numba, system CTK

Performance

• Faster binary search — lower_bound / upper_bound are now implemented via transform
  with a small linear search for the final steps, improving throughput on modern GPUs (#8642)
• Adaptive warpspeed scan — The scan tuning policy now automatically selects the warpspeed
  (lookahead) scan path when beneficial for the data type and architecture (#8158)

Bug Fixes

• Fix incorrect minimum CUDA architecture targeted when building the cccl.c native extension
  (#8631)