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🎉 RAPIDS v24.12 released 🙌 ✅ cuDF now on PyPI for simplified installation ✅ Polars GPU engine now handles larger-than-GPU memory queries with Unified Memory ✅ Faster GNN training with hierarchy-based gather operations ✅ Optimized groupby and AWS S3 reads Get the latest updates ➡️ https://nvda.ws/3ZQaCW6

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Amazing to see RAPIDS v24.12 pushing boundaries with new features like AWS S3 read optimizations and hierarchy-based gather operations. This is a huge step forward for the data science and GPU computing community!

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Polaris GOU’s are quickly becoming the norm in data center technology around AI. I clearly see this growth into 2025.

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Nico DeGiorgio, CEM

Accelerating a Net Zero Economy for All

1mo

Computer wiz has its own lexicon.

Leo Meyerovich

Founder Graphistry.com & Louie.AI: 100X Data-intensive investigations w/ genAI-native design and GPU graph AI. Started GFQL, GPU dataframes, web FRP. Hiring marketing, engineering, data science @ graphistry.com/careers .

1mo

Great release!

Tiejun Chen

Seasoned Tech Lead - {ML/AI, Edge Computing, Cloud Native, Virtualization, RISC-V} | {RISC-V Ambassador, ex-Strategic Representative} - RISC-V International TSC | Sr. Technical Lead @ ex-VMware | UniLinux Creator

2w

RAPIDS is really good. We ever built this into ML frameworks seamlessly to accelerate AI.

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Themistoklis Baltzakis

IT Support Engineer | Specializing in Azure AD & Microsoft 365 | AWS Certified Cloud Practitioner

1mo

Awesome product

Julie Gilchrist

NVIDIA Account Manager

1mo

Excellent work

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