NVIDIA's Latest RAPIDS cuDF Framework Boosts Pandas Performance on GPU by 150x
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The latest release of NVIDIA's RAPIDS cuDF framework has piqued the interest of data scientists and Pandas users alike, as it claims to boost performance by 150 times when running Pandas on a GPU. Pandas, a widely-used Python data framework for data processing and analysis, now features an accelerated mode that allows unmodified Pandas code to run in a unified CPU/GPU environment, delivering superior performance. This new capability is expected to benefit a broader range of data scientists, particularly those dealing with large-scale datasets.
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