Graphs & GPUs: RAPIDS and cuGraph with NVIDIA's Joe Eaton
Update: 2025-03-03
Description
This podcast episode features host Amy Hodler in conversation with Joe Eaton, NVIDIA Distinguished System Engineer, discussing graph analytics acceleration technologies. This discussion covered:
- How RAPIDS and cuGraph are changing graph analytics through GPU acceleration
- Their innovative approach to scaling NetworkX on GPUs without requiring code modifications
- An exploration of GNNs, graph embeddings, and vector search applications
We also looked at current trends in graph technology and their real-world implications. Joe provided pointers to resources (below) for people just getting started as well as his picks for exciting graph-related talk at the upcoming NVIDIA GTC conference.
Getting Started with RAPIDS and cuGraph
Graph Talks at GTC
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