DeepSeek, a Chinese AI startup, has released a reasoning model, R1, that rivals American tech giants while costing significantly less. This open-source model has sparked a surge in demand for AI chips from smaller companies, who see it as an opportunity to scale and compete. DeepSeek's success highlights the potential for open-source AI to challenge the dominance of proprietary models and accelerate the adoption of AI across various sectors.
Nvidia has taken a hit from the emergence of DeepSeek's latest reasoning model, which the startup claims rivals the best American tech, and costs much less.
"Developers are very keen to replace OpenAI's expensive and closed models with open source models like DeepSeek R1..." said Andrew Feldman, CEO of artificial intelligence chip startup Cerebras Systems. Open source refers to software in which the source code is made freely available on the web for possible modification and redistribution. DeepSeek's models are open source, unlike those of competitors such as OpenAI.
"To put it simply, AI training is about building a tool, or algorithm, while inference is about actually deploying this tool for use in real applications," said Phelix Lee, an equity analyst at Morningstar, with a focus on semiconductors.room for expansionAI training is very compute-intensive, but inference can work with less powerful chips that are programmed to perform a narrower range of tasks, Lee added.
"With the broad availability of small capable models, they have catalyzed the age of inference," he told CNBC, adding that the company has recently seen a surge in interest from global customers looking to speed up their inference plans.
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