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# cucim 25.08.00 (6 Aug 2025)
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## 🚨 Breaking Changes
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- Remove CUDA 11 from dependencies.yaml ([#887](https://github.com/rapidsai/cucim/pull/887)) [@KyleFromNVIDIA](https://github.com/KyleFromNVIDIA)
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- stop uploading packages to downloads.rapids.ai ([#883](https://github.com/rapidsai/cucim/pull/883)) [@jameslamb](https://github.com/jameslamb)
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## 🐛 Bug Fixes
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- Drop unused variable `CUDA_MAJOR_VERSION` ([#907](https://github.com/rapidsai/cucim/pull/907)) [@jakirkham](https://github.com/jakirkham)
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- Fix test failures due to deprecated Pillow Image.fromarray 'mode' parameter ([#901](https://github.com/rapidsai/cucim/pull/901)) [@grlee77](https://github.com/grlee77)
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- Adding GH_TOKEN pass-through to summarize job ([#891](https://github.com/rapidsai/cucim/pull/891)) [@msarahan](https://github.com/msarahan)
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## 📖 Documentation
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- add docs on CI workflow inputs ([#897](https://github.com/rapidsai/cucim/pull/897)) [@jameslamb](https://github.com/jameslamb)
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## 🛠️ Improvements
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- Drop CUDA 11 references from docs ([#914](https://github.com/rapidsai/cucim/pull/914)) [@jakirkham](https://github.com/jakirkham)
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- fix(docker): use versioned `-latest` tag for all `rapidsai` images ([#908](https://github.com/rapidsai/cucim/pull/908)) [@gforsyth](https://github.com/gforsyth)
- Drop CUDA 11 from CI Scripts ([#903](https://github.com/rapidsai/cucim/pull/903)) [@AyodeAwe](https://github.com/AyodeAwe)
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- run: fix compatibility with PEP-0632 for supporting Python >=3.12 ([#902](https://github.com/rapidsai/cucim/pull/902)) [@ElieDeBrauwer](https://github.com/ElieDeBrauwer)
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- Enhance GPU memory leak test with unified memory check and increased thresholds ([#898](https://github.com/rapidsai/cucim/pull/898)) [@gigony](https://github.com/gigony)
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- Use CUDA 12.9 in Conda, Devcontainers, Spark, GHA, etc. ([#894](https://github.com/rapidsai/cucim/pull/894)) [@jakirkham](https://github.com/jakirkham)
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- Remove nvidia and dask channels ([#893](https://github.com/rapidsai/cucim/pull/893)) [@vyasr](https://github.com/vyasr)
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- refactor(shellcheck): fix all shellcheck warnings/errors ([#890](https://github.com/rapidsai/cucim/pull/890)) [@gforsyth](https://github.com/gforsyth)
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- refactor(conda): remove cuda11 conditionals from conda recipes ([#889](https://github.com/rapidsai/cucim/pull/889)) [@gforsyth](https://github.com/gforsyth)
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- Remove CUDA 11 from dependencies.yaml ([#887](https://github.com/rapidsai/cucim/pull/887)) [@KyleFromNVIDIA](https://github.com/KyleFromNVIDIA)
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- stop uploading packages to downloads.rapids.ai ([#883](https://github.com/rapidsai/cucim/pull/883)) [@jameslamb](https://github.com/jameslamb)
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- Forward-merge branch-25.06 into branch-25.08 ([#880](https://github.com/rapidsai/cucim/pull/880)) [@gforsyth](https://github.com/gforsyth)
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- Forward-merge branch-25.06 into branch-25.08 ([#876](https://github.com/rapidsai/cucim/pull/876)) [@gforsyth](https://github.com/gforsyth)
## Local Development using Conda Environment (for gcc 9.x and nvcc 11.0.x)
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## Local Development using Conda Environment (for gcc 13 and nvcc 12)
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Conda can be used to setup an environment which includes all of the necessary dependencies (as shown in `./conda/environments/all_cuda-118_arch-x86_64.yaml`) for building cuCIM.
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Conda can be used to setup an environment which includes all of the necessary dependencies (as shown in `./conda/environments/all_cuda-129_arch-x86_64.yaml`) for building cuCIM.
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Otherwise, you may need to install dependencies (such as yasm) through your OS's package manager (`apt`, `yum`, and so on).
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### Creating the Conda Development Environment `cucim`
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Note that `./conda/environments/all_cuda-118_arch-x86_64.yaml` is currently set to use specific versions of gcc (gxx_linux-64) and CUDA (cudatoolkit & cudatoolkit-dev).
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Note that `./conda/environments/all_cuda-129_arch-x86_64.yaml` is currently set to pull in GCC and NVCC with the expected versions.
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If you want to change the version of gcc or CUDA toolkit package, please update `./conda/environments/all_cuda-118_arch-x86_64.yaml` before executing the following commands.
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If you want to change the version of GCC or CUDA, please update `./conda/environments/all_cuda-129_arch-x86_64.yaml` before executing the following commands.
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