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@@ -363,3 +363,32 @@ The deprecation period will depend on the impact of the change, but will usually
 ## CI Pipeline Overview
 
 For a detailed overview of the CI pipeline, see [ci-overview.md](ci-overview.md).
+
+## Projects Using CCCL
+
+Does your project use CCCL? [Open a PR to add your project to this list!](https://github.com/NVIDIA/cccl/edit/main/README.md)
+
+- [AmgX](https://github.com/NVIDIA/AMGX) - Multi-grid linear solver library
+- [ColossalAI](https://github.com/hpcaitech/ColossalAI) - Tools for writing distributed deep learning models
+- [cuDF](https://github.com/rapidsai/cudf) - Algorithms and file readers for ETL data analytics
+- [cuGraph](https://github.com/rapidsai/cugraph) - Algorithms for graph analytics
+- [cuML](https://github.com/rapidsai/cuml) - Machine learning algorithms and primitives
+- [CuPy](https://cupy.dev) - NumPy & SciPy for GPU
+- [cuSOLVER](https://developer.nvidia.com/cusolver) - Dense and sparse linear solvers
+- [cuSpatial](https://github.com/rapidsai/cuspatial) - Algorithms for geospatial operations
+- [GooFit](https://github.com/GooFit/GooFit) - Library for maximum-likelihood fits
+- [HeavyDB](https://github.com/heavyai/heavydb) - SQL database engine
+- [HOOMD](https://github.com/glotzerlab/hoomd-blue) - Monte Carlo and molecular dynamics simulations
+- [HugeCTR](https://github.com/NVIDIA-Merlin/HugeCTR) - GPU-accelerated recommender framework
+- [Hydra](https://github.com/MultithreadCorner/Hydra) - High-energy Physics Data Analysis
+- [Hypre](https://github.com/hypre-space/hypre) - Multigrid linear solvers
+- [LightSeq](https://github.com/bytedance/lightseq) - Training and inference for sequence processing and generation
+- [PyTorch](https://github.com/pytorch/pytorch) - Tensor and neural network computations
+- [Qiskit](https://github.com/Qiskit/qiskit-aer) - High performance simulator for quantum circuits
+- [QUDA](https://github.com/lattice/quda) - Lattice quantum chromodynamics (QCD) computations
+- [RAFT](https://github.com/rapidsai/raft) - Algorithms and primitives for machine learning
+- [TensorFlow](https://github.com/tensorflow/tensorflow) - End-to-end platform for machine learning
+- [TensorRT](https://github.com/NVIDIA/TensorRT) - Deep leaning inference
+- [tsne-cuda](https://github.com/CannyLab/tsne-cuda) - Stochastic Neighborhood Embedding library
+- [Visualization Toolkit (VTK)](https://gitlab.kitware.com/vtk/vtk) - Rendering and visualization library
+- [XGBoost](https://github.com/dmlc/xgboost) - Gradient boosting machine learning algorithms
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