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RAPIDS AI

@RAPIDSai

End to end CUDA accelerated #datascience libraries built on @apachearrow, scaled with @dask_dev & Dask-SQL for ETL, ML, graph analytics, and DL preprocessing
rapids.ai Joined October 2018
166 Following 13K Followers 2.8K Posts

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RAPIDS AI @RAPIDSai
The RAPIDS 24.04 release is out now! Check out the new accelerated vector search library, expanded zero-code change experiences for pandas & NetworkX workflows, optional query optimization for Dask workflows, support for Python 3.11 and pandas 2, and more. nvda.ws/4aTabyH
medium.com RAPIDS 24.04 Release Expanded accelerated vector search and zero-code change data science, Dask query planning, and support for Python 3.11 and pandas 2
7 replies 4 reposts 17 likes 5.2K views View on X
RAPIDS AI @RAPIDSai
Big Updates in RAPIDS 24.08!
- cuDF.pandas now supports workloads larger than GPU memory!🔥
- cuVS gains CPU/GPU interop + new, accuracy enhancing, advanced graph capabilities.
- UMAP gets a massive speed boost—up to 300x faster! - Plus, CUDA 12.5 support!
nvda.ws/4cPGVJj
medium.com RAPIDS 24.08: Better scalability, performance, and CPU/GPU interoperability RAPIDS 24.08 is now available with significant updates geared towards processing larger workloads and seamless CPU/GPU interoperability.
1 replies 8 reposts 25 likes 2.6K views View on X
RAPIDS AI @RAPIDSai
RAPIDS brings BIG updates: v24.02 leans into CPU+GPU in RAFT's vector search, RMM host memory pinning, & zero code change NetworkX acceleration; XGBoost 2.0+cuML now available; & deploy it all on Databricks+Dask. Also, RAPIDS GTC24 sessions are scheduled!👉nvda.ws/49HOFf7
medium.com RAPIDS 24.02 release Zero code-change NetworkX, RAPIDS on Databricks with Dask, and more!
2 replies 11 reposts 34 likes 8.9K views View on X