The Nvidia AI Juggernaut Gains Momentum

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Fresh off its GPU Technology Conference, Nvidia made a series of announcements that position it to increase its already sizable market share in the GPU space and to expand further into the data center industry.

At its GTC conference, Nvidia Founder and CEO Jensen Huang unveiled the companyโ€™s Blackwell processor. The company has invested approximately $10 billion in R&D costs to develop the chip, which will sell for between $30,000-to-$40,000 per unit, according to CNBC and other media outlets. Nvidia releases a new generation of chips approximately every two years. The Blackwell combines two chips and is faster and more efficient than the previous generation.

Nvidiaโ€™s AI chips have led to a tripling of its quarterly sales since the AI boom kicked off in late 2022 when OpenAIโ€™s ChatGPT was announced, according to CNBC.

Huang told CNBC that the cost isnโ€™t just about designing the chip but also for designing data centers and integrating in with other data centers.

Last week, Nvidia and Schneider Electric announced a partnership thatโ€™s designed to โ€˜industrializeโ€™ the data center business, according to Barronโ€™s. Under the agreement, Schneider โ€œwill leverage its expertise in data center infrastructure and Nvidiaโ€™s advanced A.I. technologies to introduce the first publicly available AI data center reference designs,โ€ according to a press release regarding the partnership.

The outcome from this partnership should enable organizations to leverage the potential of AI to drive innovation and digital innovation.

Jensen Huangโ€™s vision for Nvidia meshes with our research at HMG Strategy. In our 2024 Leadership Research Agenda and in the 1,000 events HMG has planned for 2024, HMG Strategy Founder and CEO Hunter Muller talks frequently about the visionary global leadership that will be needed by CIOs, CISOs and business technology leaders to peer around the corners and to anticipate whatโ€™s coming next for the CEO and the Board.

This includes opportunities to leverage AI to help identify new business opportunities and customer trends and to craft compelling new Go-to-Market models that can help their organizations to achieve a competitive edge.

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