Nvidia plans to make DeepSeek's AI 30 times faster - CEO Huang explains how

In January, the emergence of DeepSeek's R1 artificial intelligence program prompted a stock market selloff. Seven weeks later, chip giant Nvidia, the dominant force in AI processing, seeks to place itself squarely in the middle of the dramatic economics of cheaper AI that DeepSeek represents. On Tuesday, at the SAP Center in San Jose, Calif., Nvidia co-founder and CEO Jensen Huang discussed how the company's Blackwell chips can dramatically accelerate DeepSeek R1. Also: Google claims Gemma 3 reaches 98% of DeepSeek's accuracy - using only one GPU Nvidia claims that its GPU chips can process 30 times the throughput that DeepSeek R1 would normally have in a data center, measured by the number of tokens per second, using new open-source software called Nvidia Dynamo. "Dynamo can capture that benefit and deliver 30 times more performance in the same number of GPUs in the same architecture for reasoning models like DeepSeek," said Ian Buck, Nvidia's head of hyperscale and high-performance computing, in a media briefing before Huang's keynote at the company's GTC conference.