NVIDIA CEO Jensen Huang kicked off GTC 2023 by saying, “For nearly four decades, Moore’s Law has been the governing dynamics of the computer industry, which in turn, has impacted every industry.” Although “the exponential performance increase at constant cost and power has slowed down […], computing advance has gone to light speed.” The underlying factor is Artificial Intelligence (AI), and we should all pay attention.
Incremental increases in CPU processing capabilities have been expected to fall short of Moore’s Law at some point. Physical limits on miniaturization and the challenges associated with improving superconductor properties make this inevitable. Software developers and systems engineers have worked hard to be ready for this moment for years and they succeeded—all thanks to AI. Now, AI software and AI-enabled systems can pick up where Moore’s Law left off. AI tools and applications—more specifically Generative AI—allow existing infrastructure to do 1,000-X what it did with traditional computing.
With Generative AI, processing power currently available can be used to create entirely new products and services and transform industries beyond just optimizing existing operations. With the creation of AI-enabled task-specific servers and computing farms, the business landscape is changing rapidly for everyone. AI is no longer a nice-to-have, it is a must-have. Most businesses will see their offerings become obsolete very soon unless they integrate them with AI-enabled tools that can compete in an ever-more immersive consumer experience.
Yet there is a new challenge on the horizon. As businesses become ever more proficient in the use of AI, they start to wonder how they can make it even better. There is never enough of a good thing, right? But makers of AI tools cannot anticipate every single demand from every single process for every single operation. This is where businesses become interested in manufacturing their own company-specific AI. They want to manufacture their own intelligence. But since it is also an impractical possibility that every business will become an AI powerhouse capable of to not only using but developing its own AI, there is a monumental business opportunity for customizable AI applications. These would allow AI vendors to provide flexible platforms for clients to develop their own company-specific AI suits.
To that end, the NVIDIA “DGX Supercomputer will become a modern AI factory. Every company will manufacture intelligence,” said Huang. By expanding their current business model with NVIDIA DGX Cloud in partnership with Microsoft Azure, Google GCP, and Oracle OCI, NVIDIA plans to bring AI to every company, from a browser.
At GTC 2023, NVIDIA also introduced NVIDIA AI Foundations. Per an email sent to developers, this new service pack is meant “to enable software companies, service providers, and enterprises to realize the potential of generative AI. NVIDIA AI Foundations is a set of cloud services that provides a simplified approach to building and running custom generative AI, starting with state-of-the-art foundation models for text, visual media (image, video, and 3D), and the language of biology. Adobe, Getty Images, Shutterstock, and Morningstar are among the companies creating AI models, applications, and services with NVIDIA AI Foundations.”
So, yes, we just entered the era where companies will not only use, but also manufacture their own AI.
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