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Nvidia can boost DeepSeek R1's speed 30x, says Jensen Huang
Nvidia aims to enhance the performance of DeepSeek's artificial intelligence program R1, striving for 30 times faster processing speeds. This announcement was made by co-founder and CEO Jensen Huang during a event at the SAP Center in San Jose, California. To address investor concerns stemming
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Nvidia Says Dynamo Can Make DeepSeek R1 30X Faster With Blackwell, Months After The AI Model Sparked Selloff Leading To A $600 Billion Drop In Its Market Cap - NVIDIA (NASDAQ:NVDA)
At the GTC 2025 conference in San Jose, Nvidia Corp. NVDA announced that the company's newly released open-source software, Dynamo, can make China's DeepSeek R1 AI model 30 times faster when run on its latest Blackwell GPU chips. What Happened: During a media briefing ahead of CEO Jensen Huang's
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Nvidia introduces Dynamo, an open-source software that can significantly enhance the performance of AI models like DeepSeek R1, potentially revolutionizing AI processing capabilities and addressing investor concerns.

Nvidia, the leading GPU manufacturer, has announced a significant breakthrough in AI processing capabilities with its new open-source software, Dynamo. According to Nvidia's CEO Jensen Huang, Dynamo has the potential to boost the speed of DeepSeek's R1 AI model by up to 30 times
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.Dynamo's impressive capabilities lie in its ability to distribute AI inference tasks across up to 1,000 Nvidia GPUs, significantly increasing query throughput. Ian Buck, Nvidia's head of hyperscale and high-performance computing, explained, "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"
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.This software, now available on GitHub, enhances performance by breaking up tasks to run in parallel, potentially revolutionizing AI processing efficiency and revenue generation for GPU service providers
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.The introduction of Dynamo comes in the wake of a significant market event. In January 2025, the emergence of DeepSeek's R1 model sparked investor concerns about reduced computing needs for advanced AI models, leading to a substantial $600 billion drop in Nvidia's market capitalization
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.Nvidia's Dynamo appears to be a strategic move to reframe the narrative around increasingly efficient AI models and reassure investors about the continued demand for its chips.
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Alongside Dynamo, Nvidia unveiled the Blackwell Ultra, an upgraded version of its Blackwell 200 GPU. This new iteration boasts increased DRAM memory, from 192GB to 288GB of HBM3e high-bandwidth memory
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.When combined with Nvidia's Grace CPU chip, up to 72 Blackwell Ultras can be integrated into the NVL72 rack-based computer. This configuration enhances inference performance running at FP4 by 50% over the existing NVL72 system
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.The introduction of Dynamo and Blackwell Ultra has significant implications for what Nvidia calls "AI factories" - large-scale operations utilizing Nvidia's technology. These advancements allow AI data centers to run significantly more queries per second or offer premium services at higher margins
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.For inference tasks priced at $1 per million tokens, the increased throughput means more tokens can be processed each second, potentially boosting revenue for GPU service providers
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