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

Taking a moment to show appreciation for the ❤️ our community continually shows us. NVIDIA RAPIDS recently won Datanami’s Readers’ Choice Award for Big Data & Open Source! 🎉🙏 Congrats also to our category co-winners: Gitlab & Apache! datanami.com/this-just-in/d… #datanami #ThankYou

Happy Valentine's Day to your graph workflows!❤️Accelerate your Python graph analytics workflows with the new RAPIDS cuGraph backend for NetworkX. Check out Nick Becker 's interview on Datanami & see how to drop your 2 hr+ process to a lovable < 1 min! datanami.com/2024/02/13/nvi…

#rapidsai cudf.pandas code accelerator + Voltron Data 's Ibis' #Python -> #SQL framework?

Connect your SQL backend to #Nvidia #GPUs for lightning-fast performance -- from 4 minutes to less than 1 second on 100M rows -- no code changes required. nvda.ws/47VDQ8Q

Want to speed up your Pandas code by 10-1000x?

With no code change?

The folks from NVIDIA have created cuDF pandas accelerator mode. By using this line in Jupyter, you automatically leverage your GPU to run Pandas code:

%load_ext cudf.pandas

From command-line:

python -m

100% pandas coverage at up to 150x with 0 code change. Introducing cudf.pandas - for instantly accelerating your current code on #NVIDIA #GPUs . #DataScience . docs.rapids.ai/api/cudf/stabl…

If you were wondering how to make your network analytics code go 🚀🚀 on GPUs, come check out our recent work with folks from the RAPIDS AI team to dispatch NetworkX code to CuGraph.

.RAPIDS AI, the open-source software to accelerate data science, has just been recognized as a Top #OpenSource Software by InfoWorld. Read about it here: nvda.ws/479CHK4 #RAPIDSAI

RAPIDS won InfoWorld's 2023 Bossie Award, recognizing us as one of this year's leading open source tools in data and ML. We're honored! We couldn't have done this without our amazing community of developers, ecosystem partners, & users working together🙏🎉 nvda.ws/479CHK4

Have you checked out our lineup for the AI and Data Science Virtual Summit? On 11/8, we'll be joined by fast.ai founding researcher Jeremy Howard, author of 'Effective Pandas' Matt Harrison, and many more. Register for free today: nvda.ws/497s7Fk

On Nov 8th, join us at the AI and Data Science Virtual Summit for the opportunity to engage in interactive online discussions with industry leaders, researchers, & Kaggle Grandmasters. Check out the session lineup & register for free today: nvda.ws/3tuV79x. See you there!

Shop the RAPIDS 23.08 Back2School Special with even DEEPER⏲️SAVINGS on large scale text for ETL/LLMs, IO, &graphs.🚨Light Special News on🆕docker container deploy🚨➕CUDA 12 conda & cuXFilter pip📦. Celebrate new kid, cuProj, & cuSignal 🎓ing to cuPy High! nvda.ws/44xE2ZG

If you could GPU accelerate anything in your life, what would it be?
(Drop a comment if there's something not included you'd vote for!)

Want to start your journey into graph analysis, its practical applications, & how to take advantage of GPU acceleration? We’ve kicked off our new intro tutorial blog series on Graph Analysis w/ cuGraph! The first one, by cuGraph’s Don Acosta, landed today: nvda.ws/3DaOZVM

How do you primarily find out about new features of RAPIDS?

RAPIDS’ 23.06 release brings Christmas in (nearly) July! cuSpatial gives pip wheels & DE-9IM, RAFT gives k-selection improvements, cuGraph gives MNMG perf & mem improvements, cuDF gives timezone support, & CUDA12 via pip for everyone! Open your gifts here nvda.ws/3JmjivR

GPU accelerated spatial analytics got an upgrade! Check out the new cuSpatial capabilities and example code here:
medium.com/rapids-ai/cusp…

Ready to take the dive into GNNs? Get your GNN model training started -& finished- quickly with Alexandria's (linkedin.com/in/abarghi) getting started guide to Graph Neural Networks with cuGraph using PyG and pyTorch. There's even an after credits spoiler. bit.ly/42oB2OF

Check out what's new in RAPIDS 23.04! Bring in your spatial data easily with cuSpatial's GeoSeries input, explore new E2E GNN examples, leverage ANNs and a faster brute force KNN in RAFT, & optimize your speed with new benchmarking tools. Learn more here: bit.ly/3McuNbb

Win a NVIDIA GPU with KDnuggets Blog Writing Contest
KDnuggets and NVIDIA are announcing a blog-writing contest with a GPU focus, with the winner receiving an RTX 3080 Ti GPU!
kdnuggets.com/2023/04/win-nv…