Turing Reduces Nvidia Dependency, Adopts AMD for AI Training

Turing, an artificial intelligence infrastructure company, has announced that it has shifted 10% of its AI training processes to AMD hardware as part of a strategy to reduce its dependency on Nvidia. This move is seen as part of the company's goal to diversify chip suppliers and optimize costs. Turing's decision reflects a search for alternatives to Nvidia's dominance in the AI market. AMD's GPUs used in AI training offer competitive performance, particularly in certain workloads, and Turing's step could increase supply chain diversity in the industry. Company officials stated that the collaboration with AMD will help lower the costs of training AI models and increase operational flexibility. This change does not mean Turing is completely abandoning its existing Nvidia-based infrastructure, but it is considered a significant step to mitigate supplier risk. Analysts suggest that such diversification moves could intensify competition among hardware suppliers in the AI sector and provide cost advantages in the long term. Turing's strategy may inspire other technology companies to take similar steps. This is not investment advice.