The world is witnessing an explosive AI boom, and Nvidia (NVDA) is leading the charge with a triumphant 28% surge in shares on the 25th May and a valuation exceeding one trillion dollars. This monumental achievement places Nvidia in an exclusive club of US publicly traded companies - a club that includes tech titans such as Apple, Microsoft, Alphabet, and Amazon - all of which currently boast valuations exceeding one trillion dollars...

This comes after the chip manufacturer reported an outstanding earnings and sales report that left Wall Street’s lofty expectations in the dust. The success of Nvidia comes as a breath of fresh air amid the ongoing debt ceiling standoff in America and has helped buoy the broader stock market.

In the article below, written by the team at Déjà Partners, we explore how Nvidia’s strategic innovation and decision-making have positioned it as the key infrastructure player in the rapidly evolving landscape of generative AI. With a wealth of experience serving on the boards of numerous semiconductor companies, Déjà Partners brings unique industry insights to this narrative. Currently advising a number of budding AI startups, we leverage our deep understanding to dissect how Nvidia’s strategic innovation and calculated decisions have firmly placed it as the critical infrastructure player in the rapidly evolving landscape of generative AI. And importantly for AI and chip startups, we seek to understand what lessons can be derived from Nvidia’s success.

Nvidia’s bread and butter is chips that power generative AI – a type of artificial intelligence that crafts new content like text and images based on user prompts. This technology underpins innovations such as OpenAI’s ChatGPT, Google’s Bard, Dall-E, and a host of other pioneering AI technologies.

According to Jensen Huang, Nvidia’s CEO, the computer industry is currently experiencing a dual transition: accelerated computing and generative AI. A massive $1 trillion worth of global data centre infrastructure is pivoting from general-purpose to accelerated computing as companies are racing to incorporate generative AI into their products, services, and business processes. To meet the skyrocketing demand, Nvidia is ramping up the supply of its complete suite of data centre products.

Nvidia’s Q1 profits soared 26% to $2 billion, while sales spiked 19% to $7.2 billion, surpassing Wall Street forecasts. In addition, the company’s Q2 outlook was a staggering 50% higher than analysts’ predictions.

From Graphics Processors to Artificial Intelligence

Nvidia’s journey to dominance in the AI chip market is a remarkable testament to the power of innovation and strategic decision-making. With roots in making computer chips for graphics processing, particularly for computer games, Nvidia has managed to pivot effectively to underpin most AI applications today.

The parallel processing capabilities of Nvidia’s graphics processing units (GPUs), coupled with the crucial decision by Jensen Huang in 2007 to make these GPUs programmable through their CUDA platform, have significantly contributed to early breakthroughs in modern AI.

Nvidia now enjoys about 95% of the GPU market for machine learning, according to a recent report from CB Insights. With AI chips that cost roughly $10,000 each, Nvidia is well-positioned to reap significant benefits from the ongoing AI revolution.

ChatGPT, one of the most popular AI applications today, was trained using 10,000 of Nvidia’s GPUs clustered together in a Microsoft supercomputer. This is a clear indication of Nvidia’s central role in powering the AI boom.

Susquehanna chip analyst Chris Rolland reasoned that the massive gains in the Nvidia share price was a sign of an artificial intelligence “goldrush”. And Reuters predicated that Nvidia’s market capitalisation will soar by nearly $200 billion if those gains hold up with other AI-related stocks potentially adding another $100 billion worth of valuation.

In 2023, Nvidia’s stellar performance outpaced all others on the S&P 500, jumping 109% even before the recent results were announced. It is currently the world’s leading producer of graphics chips needed for high-intensity AI computing. This is a sector that has experienced a swift surge in demand following the increased interest in ChatGPT.

Lessons for AI and Chip Startups from Nvidia’s Success

Nvidia’s extraordinary success in the AI and chip market can serve as a valuable roadmap for startups in this domain. The company’s journey is replete with strategic decisions, product innovations, and calculated risks that have contributed to its position at the forefront of the AI goldrush.

  1. Leveraging Existing Strengths: Nvidia started by producing chips for graphics processing, particularly for computer games. When the AI revolution began, they managed to pivot effectively, leveraging their expertise in graphics processing to create chips that could handle AI tasks. This underlines the importance of maximising one’s core competencies while exploring new areas.
  2. Innovation and Adaptability: Nvidia’s CEO, Jensen Huang, took a critical decision in making the GPUs programmable, thereby opening their parallel processing capabilities for uses beyond graphics. This was a game-changer, as it allowed high performance computing on consumer hardware, contributing to early breakthroughs in modern AI. Startups should be ready to innovate, adapt and critically, be prepared to open their platforms to third-party access.
  3. Investing in Future Technologies: Nvidia recognised early the potential of AI and its inevitable integration into various products, services, and business processes. Consequently, they invested heavily in AI, a decision that has paid off handsomely. Startups should be mindful of trends and open to investing in emerging technologies that are adjacent to their core area of expertise.


The AI goldrush is truly upon us. It’s akin to the goldrush of 1849, but this time it’s built around generative AI and large language models, with Nvidia having positioned itself as the key player supplying most of the picks and shovels. Companies that embrace and adapt to these new technological advances stand to gain a competitive edge in an increasingly AI-driven market. The rise of Nvidia signals not just a blowout quarter, but the dawn of a new era in technological innovation.

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