The　deepwater　pipelay　finite　element　model　often　uses　relatively　small　time　steps　for　numerous　iterative　calculations　to　ensure　sufficient　precision,　resulting　in　significant　computational　time　consumption.　In　this　paper,　a　novel　numerical　acceleration　method　is　proposed,　combining　the　vector　form　intrinsic　finite　element　(VFIFE)　method　with　GPU　parallel　techniques　to　address　this　issue.　Efficient　GPU　computational　solvers　for　static　and　dynamic　analyses　of　deepwater　J-lay　and　S-lay　pipelines　are　developed　by　utilizing　CUDA-based　algorithms　to　handle　key　mechanical　processes,　including　the　calculation　of　pipeline　internal　forces　and　moments,　top　excitation,　pipe-stinger　roller　interaction,　hydrodynamic　forces,　and　pipe-seabed　soil　interaction,　etc.　The　method　is　applied　to　shell　element,　beam　element,　and　refined　beam　element　models,　with　coding　strategies　optimized　for　GPU　parallel　execution.　Subsequently,　localized　pipeline　solvers　and　global　pipelay　solvers　are　established　to　showcase　the　method＇s　potential　to　significantly　reduce　computational　time　while　maintaining　accuracy.　This　study　emphasizes　the　advantages　of　combining　the　VFIFE　method　with　GPU　parallel　techniques　and　contributes　efficient　computational　solvers　for　the　mechanical　analysis　of　deepwater　pipeline　laying.