The untapped potential of HPC + graph computing

In the past few years, AI has crossed the threshold from hype to reality. Today, with unstructured data growing by 23% annually in an average organization, the combination of knowledge graphs and high performance computing (HPC) is enabling organizations to exploit AI on massive datasets. Full disclosure: Before I talk about how critical graph computing HPC is going to be, I should tell you that I'm CEO of a graph computing, AI and analytics company, so I certainly have a vested interest and perspective here. But I'll also tell you that our company is one of many in this space -- DGraph, MemGraph, TigerGraph, Neo4j, Amazon Neptune, and Microsoft's CosmosDB, for example, all use some form of HPC graph computing. And there are many other graph companies and open-source graph options, including OrientDB, Titan, ArangoDB, Nebula Graph, and JanusGraph.