30,000 NVIDIA Engineers Use Generative AI for 3x Higher Code Output
The company that started the entire wave of AI infrastructure and development is now enjoying the fruits of its work. NVIDIA has deploying generative AI tools across its company to an astonishing 30,000 engineers. In a partnership with San Francisco-based Anysphere Inc., the company is getting a customized version of the Cursor integrated developer environment, which focuses on AI code design. This is important to note as NVIDIA's engineers are now reportedly producing as much as three times the code compared to the previous development pipeline, and we are now probably using NVIDIA's products or services that have been designed by AI guided by humans.
NVIDIA offers a range of mission-critical products that cannot afford to be as error-prone as most AI-generated code tends to be. This includes GPU drivers that support everything from basic gaming to large-scale AI training and inference operations. The company is likely enforcing strict guidelines for its newly generated code, with an extensive range of tests required before the code is deployed in production. This isn't the first time NVIDIA has utilized AI-assisted workflows in its products. The company has already implemented a dedicated supercomputer that has been continuously enhancing DLSS (Deep Learning Super Sampling) for several years, and some chip designs have been optimized using the company's internal AI tools.
NVIDIA offers a range of mission-critical products that cannot afford to be as error-prone as most AI-generated code tends to be. This includes GPU drivers that support everything from basic gaming to large-scale AI training and inference operations. The company is likely enforcing strict guidelines for its newly generated code, with an extensive range of tests required before the code is deployed in production. This isn't the first time NVIDIA has utilized AI-assisted workflows in its products. The company has already implemented a dedicated supercomputer that has been continuously enhancing DLSS (Deep Learning Super Sampling) for several years, and some chip designs have been optimized using the company's internal AI tools.







































































