NVIDIA has finally acknowledged tough competition in the AI segment, claiming that AI is the "largest computational problem in history."
NVIDIA's deep-rooted involvement in the AI sector has made it a benchmark for several firms to follow, not just with the company's hardware portfolio but the software ecosystem they have provided to clients.
It seems like NVIDIA is starting to realize that its monopoly over the AI markets won't be easy to retain moving ahead, as the company's VP of Applied Deep Learning Research, Bryan Catanzaro, has disclosed that the company sees the competition "strong and getting stronger," which shows that Team Green won't get an easy lead in this domain.
The statement certainly doesn't mean that NVIDIA is panicking and it isn't the first time that the company has acknowledged the efforts of its competitors. Outside of the AI domain, we have seen NVIDIA comment on AMD's Radeon GPU division and how they remain their prime competitor, and were excited to see the red team compete with them.
Still, it does show that the company might need to be more careful moving ahead, especially in terms of providing a superior set of market offerings, either taking the lead in the order supply or even competitive price-to-performance ratios. Another interesting fact highlighted by Bryan is the common misconception about NVIDIA's journey and the company's transition from primarily hardware-centric to a software-centric firm. Having strong hardware means nothing if you don't have software capabilities that take advantage of them and NVIDIA has a proven track record of harnessing a lot of juice out of its chips through software optimizations such as TensorRT which were reported
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