Scrapping export restrictions on top-of-the-line GPU chips because of DeepSeek's s AI success would hand China a major win, says Toner.

When OpenAI released ChatGPT in 2022, companies started spending billions on GPUs to train AI models. Nvidia led the market for graphics processing units (GPUs), so it was the right company at the right time to deliver monster returns to investors.

After spending years indiscriminately ripping off other people's work, OpenAI is trying to pin blame on Chinese AI startup DeepSeek.

While DeepSeek’s AI affair seems more political than technological, here is a closer look at the design engineering aspects.

OpenAI's Stargate Project promises to build AI data centers and clean energy facilities across the U.S., creating 100,000 jobs. But will those promises be kept?

Nvidia stock tumbled when DeepSeek said it trained an impressive AI model at a fraction of what U.S. companies have paid, but many Wall Street analysts remain bullish. President Trump's plan to reduce the corporate tax rate to 15% would let Nvidia repurchase more stock,

Despite the negative financial impact, Nvidia praised DeepSeek’s breakthrough. “DeepSeek is an excellent A.I. advancement and a perfect example of test time scaling,” a company spokesperson told Observer in a statement.

Technology giant Nvidia Corporation (NASDAQ:NVDA) fell anew on Wednesday, losing another 4.1 percent to finish at $123.7 apiece, as investors sold off positions while continuing to digest China’s new cost-effective artificial intelligence called DeepSeek.

DeepSeek, a Chinese AI startup, has rapidly ascended to prominence, challenging established AI chatbots like Google Gemini and ChatGPT. Its flagship AI model, R1, has achieved remarkable performance using significantly less computational power than its competitors.

(Reuters) - India's IT minister has praised Chinese startup DeepSeek for shaking up the sector with its low-cost AI assistant, likening its frugal approach to his government's efforts to build a localized AI model.

DeepSeek has triggered a dramatic rethink on artificial intelligence spending around the world, claiming it took just two months and cost under $6 million to build an AI model using Nvidia's less-advanced H800 chips.