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Nvidia Engineers Code 3x Faster With AI Tools
13 Feb
Summary
- Over 30,000 engineers now use AI tools like Cursor for coding.
- Nvidia claims a threefold increase in code output with stable defect rates.
- AI assistance is linked to DLSS 4 and reduced GPU die sizes.

Nvidia has widely deployed generative AI tools, integrating Cursor into the daily workflows of over 30,000 engineers. Internal reports suggest this has led to a threefold increase in code output compared to previous methods. Despite the surge in productivity, Nvidia claims defect rates have remained consistent, indicating that rigorous testing protocols are still in place for critical software like GPU drivers.
This AI adoption is an evolution of Nvidia's prior use of AI in development, notably in improving DLSS technology over several hardware generations. Recent achievements, such as the development of DLSS 4 and reductions in GPU die size relative to comparable designs, are presented as outcomes of these broader AI-driven optimization efforts. These examples suggest that AI, when applied within controlled environments, can yield measurable improvements in engineering and product development.




