Nvidia In the Lead in AI Chips and is Working to Stay There - AI Trends

Nearly 100% of AI-accelerator chips are from Nvidia today, and the company cofounded in 1993 by CEO Jensen Huang is working hard to maintain its lead position in AI processing. Still, the AI landscape now includes many companies engaged in efforts to build the next generation of AI chips, capable of processing ever-increasing workloads in data centers and handling more processing pushing out to edge computers. That Nvidia is in a dominant position today in the AI chip market is not in dispute. Its graphic processing unit (GPU) chips were deployed in 2019 in over 97% of AI accelerator instances of hardware used to boost processing speeds, at AWS, Google, Alibaba, and Azure, the top four cloud providers, according to a recent account in Wired UK. Nvidia commands "nearly 100%" of the market for training AI algorithms, stated Karl Freund, analyst at Cambrian AI Research. Nearly 70% of the top 500 supercomputers use its GPUs and AI milestones such as the GPT-3 large language model form OpenAI and DeepMind's board game champion AlphaGo have executed on Nvidia hardware.