Graphs & GPUs: RAPIDS and cuGraph with NVIDIA's Joe Eaton

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

https://rapids.ai/

Graph Talks at GTC

https://nvda.ws/4bofZ4e