I will make public a solver that does at least 10.5 Gk/s on RTX 4090 by the end of this year. I believe I can make it reach 11 Gk/s by then. Combined with symmetry and 3-kang method, it will be at least as fast as RC's solver, per total, if not faster.
About zero code, may be people mean this your post where you promise to show something? It's ok that you changed your mind
Deadline missed, health is more important. Also, I'll never actually share the code that allows for the speed I mentioned (it is the real speed). It is a CUDA binary file (precompiled in advance) loaded dynamically, optimized for the specific GPU it runs on. This is a safe way to share a CUDA kernel without compromising personal IP, and it has zero security issues (a CUDA binary can't do shit except run assembler instructions on the GPU). But since the kangaroos are computed correctly and verified at the end of the jump loop, and there is a steady rate of DPs, it proves 100% that the speed is correct, because the kangaroos landed where they were supposed to, which can't be computed in advance, there is no magic shortcut to compute the final landing spot, unless they each do the entire number of jumps.
But I feel you when people are asking for full solutions, they would then want the software that manages hundreds / thousands of cloud GPU instances, and so on. Lazy people will never be happy.