RAPIDS AI

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 @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. https://t.co/vzyYBb6aW4

[RAPIDS AI @RAPIDSai]

Join us as we host a Virtual Connect with Experts event this Friday, October 25, 2024 at 10am PT. This month, our topic is cuDF and cuML! We have an amazing lineup of RAPIDS developers & users on our expert panel to answer your questions. Learn more here: https://t.co/9yrlN2L5Dq

[NVIDIA AI Developer @NVIDIAAIDev]

NVIDIA's Academic Grant Program now accepting its 2nd round of proposals in:
✅ Data Science
✅ Graphics & Vision
✅ Edge AI
#GenAI, #LLM, and Simulation & Modeling proposals are still welcome.

⌛ Apply now, deadline is Dec 31: https://t.co/yPOUnWsqL2 #NVIDIAAcademicGrant

[polars data @DataPolars]

Together with NVIDIA RAPIDS we bring GPU acceleration to Polars!

Read more in our release blog:

https://t.co/sOfgohnQ9p

[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!
https://t.co/Zxi9Xd5KfB

[NVIDIA AI Developer @NVIDIAAIDev]

Announced at #GoogleIO, RAPIDS cuDF is now integrated into Google Colab.

RAPIDS cuDF instantly speeds up pandas code by up to 50x with zero code changes in Colab notebooks.

Read the tech blog: https://t.co/ORxFaI64Jb

[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!👉https://t.co/AtNvfOYy2b

[RAPIDS AI @RAPIDSai]

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! https://t.co/M5Y4q0vmzs #datanami #ThankYou

[RAPIDS AI @RAPIDSai]

Happy Valentine's Day to your graph workflows!❤️Accelerate your Python graph analytics workflows with the new RAPIDS cuGraph backend for NetworkX. Check out @becker_data 's interview on Datanami & see how to drop your 2 hr+ process to a lovable < 1 min! https://t.co/eWhtVcCHHo

[RAPIDS AI @RAPIDSai]

#rapidsai cudf.pandas code accelerator + @VoltronData '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. https://t.co/dUqj1zcBtt

[Matt Harrison @__mharrison__]

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 cudf.pandas https://t.co/E9XbowBV0h

(It also accelerates 3rd party libraries that leverage Pandas.)

Check out this demo notebook: https://t.co/mS5cTK9Rve

I've had a chance to use the pre-release version and am very impressed!

[RAPIDS AI @RAPIDSai]

100% pandas coverage at up to 150x with 0 code change. Introducing cudf.pandas - for instantly accelerating your current code on #NVIDIA #GPUs. #DataScience . https://t.co/umvVwUv3Ao

[NVIDIA AI Developer @NVIDIAAIDev]

RAPIDS cuDF’s pandas accelerator mode is now available in open beta, accelerating #pandas nearly 150x with zero code changes.

#DataScience, #Python, #RAPIDS

Read the announcement blog: 👇 https://t.co/tJ0dqKFNZK

[Mridul Seth @Mridul_Seth]

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

[NVIDIA @nvidia]

.@RAPIDSai, the open-source software to accelerate data science, has just been recognized as a Top #OpenSource Software by @InfoWorld. Read about it here: https://t.co/gToctNyEuK #RAPIDSAI

[RAPIDS AI @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🙏🎉 https://t.co/mE3kBdEK5L

[NVIDIA AI Developer @NVIDIAAIDev]

Have you checked out our lineup for the AI and Data Science Virtual Summit? On 11/8, we'll be joined by @fastdotai founding researcher @jeremyphoward, author of "Effective Pandas" @__mharrison__, and many more. Register for free today: https://t.co/fc2Ysoc3cx

[RAPIDS AI @RAPIDSai]

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: https://t.co/NtNPkA4yB6. See you there!

[RAPIDS AI @RAPIDSai]

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! https://t.co/gBYBKcE1vq

[RAPIDS AI @RAPIDSai]

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!)

[RAPIDS AI @RAPIDSai]

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: https://t.co/IXj7vNUz0n