This paper introduces the design, implementation, and evaluation of Red Fox, a compiler and runtime infrastructure for executing relational queries on GPUs. Red Fox is comprised of i) a language front-end for LogiQL which is a commercial query language, ii) an RA to GPU compiler, iii) optimized GPU implementation of RA operators, and iv) a supporting runtime. We report the performance on the full set of industry standard TPC-H queries on a single node GPU. Compared with a commercial LogiQL system implementation optimized for a state of art CPU machine, Red Fox on average is 6.48x faster including PCIe transfer time. We point out key bottlenecks, propose potential solutions, and analyze the GPU implementation of these queries. To the best of our knowledge, this is the first reported end-to-end compilation and execution infrastructure that supports the full set of TPC-H queries on commodity GPUs.