Alternatives
Products that do what A free, GPU-accelerated Texas Hold'em GTO solver in C++/CUDA does
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!
- 1VA
2013 · zhehaomao.com
- 2DG
2016 · github.com
- 3GS
2021 · asolver.xyz
- 4CA
2017 · github.com
- 5MY
2019 · minimaxir.com
- 6IW
Jun 2026 · github.com
- 7
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- 9AM
2017 · github.com
- 10AS
2020 · pokerapi.dev
- 11
- 12AL
2019 · dev.to
- 13ML
Aug 2026 · github.com
- 14LL
After the incredible response to our launch of the first online CUDA playground, we have just shipped something we think all you GPU programming and ML enthusiasts will love. Introducing LeetGPU Challenges--the place to compete on writing the fastest CUDA kernels. We have problems like matrix multiplication, agent simulation, multi-head self-attention, with more dropping every couple of days! We have a lot of really cool things coming up, including support for PyTorch, TensorFlow, JAX, TinyGrad; Multi-GPU programs; H100, V100, A100 GPU options Give it a try and let us know what you think!
2025 · leetgpu.com
- 15IB
VSCode extension with games (Snake, Plinko, slots), HN/LessWrong reader, and Pomodoro timer for AI coding wait times. Fake currency only. Marketplace: https://marketplace.visualstudio.com/items?itemName=TouchGra... Built in a week with Claude Code after seeing Chad IDE get ratio'd for integrating real gambling. Happy to answer questions or get roasted on the code.
Dec 2025 · github.com
- 16BG
2020 · github.com
- 17VG
2015 · vanitykeys.io
- 18OR
2020 · github.com
- 19LG
Feb 2026 · blog.vtemian.com
- 20ER
Nov 2025 · github.com
- 21IR
Democratisation of local AI is key. I've been working on pushing the limits of commercial hardware, squeezing any extra bit possible. My Scientific Agentic AI hareness helped me to reallocate every single bit of it. I rewrote the Kernel, I went down the CUDA rabbit hole until I have been able to explain any bit and any ms of computational power involved in the process pushing the Qwen 30B-A3B from 8 tok7s to 19 tok/s with llama.cpp up to 22.2 tok/s with my project and 109 tok/s on not novel content and speeding up the prefill by 5-9X
Jul 2026 · github.com
- 22MM
2020 · pokerhelper.app
- 23LA
Learn, write, practice CUDA programming on LeetGPU.com, an online CUDA playground for anyone to write and execute CUDA code without needing a GPU and for free
2025
- 24OA
2024 · github.com
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