Wednesday, November 15, 2023

Latest Breakthroughs in Data Science with NVIDIA

Stay up to date on the latest data science news, announcements, and resources.
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Data Science News
November 2023
Featured News
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RAPIDS cuDF Accelerates pandas Nearly 150x with Zero Code Changes
RAPIDS cuDF's pandas accelerator mode is now available in open beta, accelerating pandas nearly 150x with zero code changes.
Learn More
Top Resources
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Accelerating NetworkX on NVIDIA GPUs for High Performance Graph Analytics
Speed up your NetworkX workflows up to 600x on GPUs with the new nx-cugraph backend powered by RAPIDS.

Learn More
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On-Demand: AI and Data Science Virtual Summit
Check out all of the sessions from the AI and Data Science Virtual Summit, now available on-demand, to hear how emerging data science tools and innovations can drive new insights from your data.

Watch Replays
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Free Event: NVIDIA LLM Developer Day
Large language models (LLMs) have taken the world by storm. Join us on November 17 for a series of hands-on, practical sessions that can help you get started with and advance LLM app development.

Register
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DLI Workshop: RAPIDS Accelerator for Apache Spark
In this new self-paced course, learn about Apache Spark and practive by running SQL queries on CPU and GPU in Spark and diving into the RAPIDS Accelerator for Apache Spark toolset.

Enroll Now
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Webinar Series: How to Get Started With AI Inference
Join us for a series of expert-led talks where we'll explore a full-stack approach to AI inference and how to optimize the AI-inferencing workflow to lower cloud expenses and boost user adoption.

Register Now
Recent Blog Posts & Resources
  • Reduce Apache Spark ML Compute Costs with New Algorithms in Spark RAPIDS ML Library | Read Blog
  • Accelerating Vector Search: Fine-Tuning GPU Index Algorithms | Read Blog
  • Unlocking Multi-GPU Model Training with Dask XGBoost | Read Blog
  • Accelerate Data Analytics in Energy with NVIDIA RAPIDS and Spark | Learn More
  • NVIDIA RAPIDS Accelerator for Apache Spark | Explore Resources
To see all of our blog posts, visit our Data Science Blog.
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