DeepSeek built a competing large language model (LLM) to OpenAI's ChatGPT, but claims that it trained the model with old Nvidia processors that aren't widely used anymore. This news has shellshocked technologists and analysts across Wall Street because if DeepSeek's methods of building highly capable AI can be done using legacy hardware,

While the demand is there, it's clear that's not the sole reason why Nvidia's RTX 50 series is impossible to find in stores. Many retailers received fairly low stock quantities, as Nvidia reportedly experienced manufacturing issues.

According to a paper authored by the lab, the DeepSeek-R1 model outperforms cutting-edge models such as OpenAI’s o1 and Meta’s Llama AI models across multiple benchmarks.

Because Nvidia is still growing its revenue rapidly, using trailing earning metrics can give a false impression of where the company is headed. However, they're also useful in this case because its future had a wrench thrown into it thanks to DeepSeek's breakthrough.

A warning of a U.S. stock market bubble, advises diversification into value stocks, commodities, and international equities to mitigate risk.

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Perhaps no stock was more profoundly affected by the news from DeepSeek than Nvidia (NASDAQ: NVDA). In a sense, DeepSeek validated its dominance by announcing its H800 accelerators trained its model for less than $6 million.

The efficiency gains of DeepSeek’s AI models startled the power industry, which is set to invest billions in electricity projects.