A free, GPU-accelerated Texas Hold'em GTO solver in C++/CUDA
I built this mostly because I love the intersection of game AI, high-performance computing, and poker. I’d love for anyone interested in game theory or CUDA optimization to tear it apart, test the accuracy, and give me feedback. Happy to answer any questions about the algorithms, the transition from CPU to GPU, or poker AI in general!
A free, GPU-accelerated Texas Hold'em GTO solver in C++/CUDA launched on July 7, 2026 with 5 votes, #4,557 of 24,623 launches that month and more than 75% of that year's launches.
What it does
TexasSolver GPU is the world’s first GPU solver for poker, completely free for personal use, with faster solving, node locking, batch analysis, and play-vs-strategy training.
TexasSolver GPU is built for faster solving, quick spot entry, batch analysis, node locking, and strategy training in one focused workspace. Built on GPU computing, TexasSolver GPU is faster than the solver workflows that came before it. Built on GPU computing, TexasSolver GPU reaches results faster than the solver workflows players were used to before. Download it, explore the workflow, and start studying without a paywall for personal use. Move quickly from setup to analysis with tree configuration, batch solving, node locking, and training tools in one place. Run multiple boards in one batch-oriented flow and keep progress visible while you work. See the actual product workflow through…from bupticybee.github.io
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