GPU resource sharing
A proposed method to improve game streaming's scalability is adaptive graphics processing unit (GPU) resource scheduling.Most cloud gaming providers are using dedicated GPUs to each person playing a game. This leads to the best performance but can waste resources. With better GPU resource scheduling algorithms, if the game does not fully utilize that GPU it can be used to help run someone else’s game simultaneously.In the past, “GPU virtualization was not used due to the inferior performance of the resource scheduling algorithm”. However new resource management algorithms have been developed that can allow up to 90% of the GPUs original power to be utilized even while being split among many users.
Predictive input
Algorithms could be used to help predict a player's next inputs, which could overcome the impact of latency in cloud gaming applications.Stadia's head of engineering Majd Bakar foresaw the future possibility of using such a concept to "[reduce] latency to the point where it's basically nonexistent", referring to this concept as "negative latency".
