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lot's of columns are float valued, GPU tensor cores can be programmed to do many operations between different float/int valued vectors. Strings can also be processed in this manner as they are simply vectors of integers. NVidia publishes official TPC benchmarks for each GPU release.

The idea of a GPU database has been reasonably well explored, they are extremely fast - but have been cost ineffective due to GPU costs. When the dataset is larger than GPU memory, you also incur slowdowns due to cycling between CPU and GPU memory.