This startup claims it just outran Nvidia on its own turf

• DataPelago has created a new engine called Nucleus that dramatically speeds up data processing for AI and analytics. • It outperforms Nvidia’s cuDF library by large margins while working across different types of hardware. • Today’s GPUs are powerful, but older software often wastes their potential, making faster tools like Nucleus especially valuable. • This shift could have dramatic implications for Nvidia.

For years, enterprises have leaned on GPUs (Graphics Processing Units) to handle ever-growing mountains of data, leveraging their ability to run thousands of calculations in parallel for AI and analytics workloads. Every generative AI model, recommendation engine, and analytics dashboard depends on data libraries to prepare, join, and transform massive datasets.

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