Part 7/10:
The potential applications of Q.ANT's NPU extend beyond merely matching or exceeding current GPU capabilities. As AI workloads become more complex—especially with the emergence of large-scale neural networks—efficiency in computation and interconnectivity becomes pivotal. Q.ANT aims to not only compete with traditional GPUs but to do so while consuming significantly less power and occupying less space.
In two years, Q.ANT anticipates offering NPUs that deliver performance on par with premium GPUs, yet with a dramatically reduced power footprint. This change could redefine how server racks are populated, enabling higher computational density without exceeding current energy budgets.