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