Boom, Not Bust: How DDN Keeps GPUs Fed In The Era Of The AI Factory
siliconANGLE, Thursday, November 20th, 2025
Whether it's training large-scale artificial intelligence models or building applications that implement AI in financial services, the success of these and other AI-driven initiatives depends on the ability to store, move and process massive volumes of data at extreme speeds.
A major challenge to achieving this performance is that today's graphics processing units are now much faster than the data systems feeding them. This mismatch between compute and data creates a bottleneck, driving demand for AI factory solutions, according to Alex Bouzari, chief executive officer of DataDirect Networks Inc.