Board game AI works by searching through the state space, and evaluating each state with the neural network, then picking the move with best expectation.
So it needs to load the comparatively tiny game state (chess board) into the GPU for each evaluation. The more game states it can evaluate per move, the better it is. It can be in the order of millions.
So it needs to load the comparatively tiny game state (chess board) into the GPU for each evaluation. The more game states it can evaluate per move, the better it is. It can be in the order of millions.