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,

Nvidia (NASDAQ:NVDA) shares had a nice rally today, surging nearly 5%. Yet, the stock hasn’t fully recovered from the recent bombshell dropped

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.

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

DeepSeek stunned the tech world with the release of its R1 "reasoning" model, matching or exceeding OpenAI's reasoning model for a fraction of the cost.

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

DeepSeek sent shockwaves through the AI investing world when it announced that it trained its R1 generative AI model for less than $6 million. Even more impressive is that some of its capabilities are on par with other leading generative AI models like ChatGPT and Claude.