#rapidsai
NVIDIA's RAPIDS has turbocharged their @NVIDIA CUDA enabled package building by moving from conda-build to rattler-build, unlocking incredible speedups. 🚀

Source: github.com/rapidsai/bu...

#nvidia #rapids #rapidsai #packagemanagement #conda #rattler
March 4, 2025 at 12:06 PM
Update : le boulot est moins simple que prévu (on doit d'abord rattraper quelques étourderies des ingénieurs Nvidia -- github.com/rapidsai/cug... 😇), mais ça avance !

La fonctionnalité arrive dans les prochains mois, à disposition pour échanger si vous voulez l'intégrer avant que ce soit public :)
ForceAtlas2 threads returning prematurely? · Issue #5029 · rapidsai/cugraph
I'm currently working on cuGraph's FA2 implementation to add support for the prevent_overlapping parameter (#5022 ), which is documented but not supported. I found something confusing in the implem...
github.com
April 14, 2025 at 8:44 PM
7/ "Speed and usability first"! #Segger is built on @scverse.bsky.social, @pytorch.org, @PyG, @lightningai.bsky.social, @geopandas & @RAPIDSai to zip through big ST datasets smoothly.
March 18, 2025 at 2:48 PM
🚀 GitHub Intelligence Drop

raft (Cuda • 🟢)
⭐ 1K → https://github.com/rapidsai/raft

commonly (TypeScript • 🟢)
⭐ 455 → https://github.com/Team-Commonly/commonly

⚡ Only signal. Zero noise.
May 9, 2026 at 2:14 AM
Patrick Hogan @NVIDIA presents the inaugural @NJIT #DataScience seminar on the #AI Revolution in Financial Services. @NJITYingWu #GPU #FinTech #HPC @RAPIDSAI
http://bit.ly/2VG6O8x
November 23, 2024 at 1:07 PM
This is just in time to take advantage of the wave of GPU/TPU acceleration in the RDBMS research community:

- github.com/rapidsai/gqe
- github.com/sirius-db/si...
GitHub - sirius-db/sirius
Contribute to sirius-db/sirius development by creating an account on GitHub.
github.com
July 1, 2026 at 4:07 PM
Running cudf code in Jupyter? You can visualize your GPU metrics with github.com/rapidsai/jup...

- Naty Clementi at #SciPy2026
July 15, 2026 at 10:46 PM
Breaking News! @NVIDIA selects @Prof_DavidBader @GeorgiaTech to join #NVAIL Program with Focus on #Graph #Analytics
@RAPIDSai #cuGraph @NvidiaAI #GPU #DataScience http://bit.ly/2VRcdsC
November 23, 2024 at 3:23 PM
Interested in accelerating #DataScience? My PhD advisee, Dr. Oded Green @NVIDIA is speaking right now at #CLSAC2020 on Scalable #Graph #Analytics with Tightly-Coupled #GPUs
@greenhpc #RAPIDSAI
https://www.clsac.org/
November 23, 2024 at 11:54 AM
September 19, 2025 at 10:29 PM
- New Native @dask_dev interface for multi-GPU and multi-node scaling
- First-class support for @rapidsai cuDF data frames and cuPy arrays
- External memory for @nvidia GPU training
- Improve @scikit_learn interface
- Lots of improvements on XGBoost4J-Spark @ApacheSpark
November 20, 2024 at 1:57 AM
cuDF – GPU DataFrame Library Discussion
GitHub - rapidsai/cudf: cuDF - GPU DataFrame Library
cuDF - GPU DataFrame Library . Contribute to rapidsai/cudf development by creating an account on GitHub.
github.com
June 3, 2024 at 1:00 AM
python-rapids-dependency-file-generator
RAPIDSAI Dependency file generator
aur.archlinux.org
June 24, 2025 at 4:11 AM
A new AI review! rapidsai/cudf ⭐4.1/5.0
cuDF is a large, mature, and actively maintained GPU-accelerated DataFrame ecosystem within RAPIDS, spanning a high-performance CUDA/C++ core (`libcudf`), Python bindings and user-facing APIs (`pylibcudf`, `cudf`, `cudf.
https://gitrated.com/rapidsai/cudf
March 29, 2026 at 8:14 AM
A new AI review! rapidsai/cugraph ⭐3.9/5.0
`rapidsai/cugraph` is a mature, actively maintained GPU graph analytics library within the RAPIDS ecosystem.
https://gitrated.com/rapidsai/cugraph
March 24, 2026 at 11:49 PM