Could this artificial intelligence (AI) newcomer be the next Nvidia?

For much of the past two years, big tech has dominated the storylines revolving around artificial intelligence (AI). "The Magnificent Seven" members Microsoft, Amazonand White head ChatGPT creator OpenAI has invested billions in its biggest competitor, Anthropic.

It's in between TeslaIt's the brainchild of Elon Musk, who aims to bring self-driving cars and humanoid robots to the masses. Of course, none of the AI ​​applications being developed by these megacap tech enterprises would be possible without their help. Nvidiagraphics processing unit (GPU) and proprietary software.

If you've read any of my previous posts, you'll know that I tend to use November 30, 2022 as the start of the AI ​​revolution. To add some context, this is the day ChatGPT went public. Since then, Nvidia has outperformed its Magnificent Seven peers by a long shot and is up more than 700 percent by the market close on December 12, 2024.

To put it bluntly, it's Nvidia's world, and everyone else lives in it. However, smart investors understand that they can match the performance of the greatest powerhouses. In addition to big technology, it is one company that has maintained its star status in the field of artificial intelligence Palantir Technologies (NASDAQ: PLTR).

Palantir has proven itself competitive with the world's enterprise software giants and some investors. billionaire entrepreneur Chamath Palihapitiya arguing that the company has yet to scale.

With so much potential on the horizon, could Palantir be the next Nvidia in sight? Let's dig in and find out.

During Palantir's third-quarter earnings call, CEO Alex Karp made an interesting statement about how data integration is the most important variable in the development of AI-powered services.

"Professors who write about these things seem to believe that the commodity, that is, the LLM, is its valuable aspect, and that real assets, which represent how the commodity is managed, are real values," Karp declares.

What Karp is trying to say here is that large language models (LLMs) are a commodity rather than a proprietary technology. But Alphabet's Gemini, Amazon's Claude, Meta's Llama and ChatGPT both offer unique features, and the average user can't really tell the difference between these platforms. From Karp's point of view, the real value proposition is how to bring data into LLM by supporting software integration. This is where he believes Palantir has an advantage.



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