Current　high-end　graphics　processing　units　(abbreviate　to　GPUs),　such　as　NVIDIA　Tesla,　Fermi,　Kepler　series　cards　which　contain　up　to　thousand　cores　per-chip,　are　widely　used　in　the　high　performance　computing　fields.　These　GPU　cards　(called　desktop　GPUs)　should　be　installed　in　personal　computers/servers　with　desktop　CPUs;　moreover,　the　cost　and　power　consumption　of　constructing　a　high　performance　computing　platform　with　these　desktop　CPUs　and　GPUs　are　high.　NVIDIA　releases　Tegra　K1,　called　Jetson　TK1,　which　contains　4　ARM　Cortex-A15　CPUs　and　192　CUDA　cores　(Kepler　GPU)　and　is　an　embedded　board　with　low　cost,　low　power　consumption　and　high　applicability　advantages　for　embedded　applications.　NVIDIA　Jetson　TK1　becomes　a　new　research　direction.　Hence,　in　this　paper,　a　bioinformatics　platform　was　constructed　based　on　NVIDIA　Jetson　TK1.　ClustalWtk　and　MCCtk　tools　for　sequence　alignment　and　compound　comparison　were　designed　on　this　platform,　respectively.　Moreover,　the　web　and　mobile　services　for　these　two　tools　with　user　friendly　interfaces　also　were　provided.　The　experimental　results　showed　that　the　cost-performance　ratio　by　NVIDIA　Jetson　TK1　is　higher　than　that　by　Intel　XEON　E5-2650　CPU　and　NVIDIA　Tesla　K20m　GPU　card.　Copyright　©　2015,　IGI　Global.