Industry leaders drive AI hardware innovation, top ten outstanding figures in the field of artificial intelligence hardware

With the graphics processing unit (GPU) shortage continues, companies and venture capitalists are scrambling to buy these chips to run powerful AI models. nvidia (Nvidia), a chip giant leading the AI boom, announced plans to triple the production of the GPUs driving the AI revolution. Other hardware startups are also scrambling to develop AI processors.

Insider names the AI that makes AI smarttop notch 100 people, here is the ranked list in the hardware sector. TheseLeadersfrom big companies like Google, Nvidia, and Intel, as well as startups like Cerebras and Ampere.

1. David Brown.Amazon AWS Services Amazon is working to build its own custom chips in time for the generative AI boom. brown is the head of Amazon AWS services in charge of this effort. brown said at an event at amazon's seattle headquarters thatAmazon's own chips - Inferentia and Trainium - outperform competitors, including Nvidia, in terms of price performance.
2. Sanja Fidler, Nvidia Fidler is vice president of AI research at Nvidia and heads the company's Toronto AI lab. She has authored more than 170 research papers and has a special interest in computer vision and neurographics.
3. Jack Hidary, SandboxAQ Hidary is exploring the intersection of AI and quantum technology. His company, SandboxAQ, originally started as a research unit in Alphabet's X building, exploring how to run quantum workloads using the same chips that drive AI.
4. Sissie Hsiao, Google Hsiao is responsible for Google's Bard chatbot as well as the voice assistant Google Assistant, both of which are important products for Google to showcase its AI prowess.
5. Michael Intrator, CoreWeave Intrator and his colleague Brian Venturo started buying Nvidia GPUs for their crypto mining hobby in 2017, and todayCoreWeave Provides Enterprise Access to These Hard-to-get Chips via the Cloud.
6. Renee James, Ampere James is the founder and CEO of Ampere, which develops chips for data centers.
7. Sean Lie, Cerebras Systems Cerebras Systems builds special chips, such as those of competitors like Nvidia, that are much larger and, according to the company, can train AI systems potentially hundreds of times faster.
8. Daphne Luong, Apple Luong is Apple's Machine Learning and AIadvancedSupervisor, responsible for training and development of the company's AI models.
9. Sandra Rivera, Intel As head of Intel's Data Center and AI group, Rivera leads Intel's AI strategy.
10. Suzie Fung.AMD Suzie Fung was a member of the AMD team for many years.LeadersAMD's share price increased by nearly 30 times under her leadership. Under her leadership, AMD's share price increased nearly 30 times.