Graphics drivers or controllers are one of the biggest problems for graphics card manufacturers and especially for GPU designers. A poor quality game can mean much worse results in benchmarks and games, which is fatal for the economy. After all, no one can sell hardware for more than its performance. The reason? You are selling less value for a higher price.
¿Graphics and AI drivers?
One of the myths we keep reading is that artificial intelligence will eventually eliminate many jobs such as computer programming, but what they will do in computer software is eliminate repetitive and mechanized tasks. The fact that we are talking about graphics drivers with AI does not mean that they are in charge of creating these programs. Rather, it refers to the fact that the management of GPU processes and resources are controlled by such a program managed by the controller.
A GPU is made up of dozens of cores and at the same time thousands of execution threads, however, the problem is that their control unit is not like that of central processors. Their management must be carried out by the driver who is responsible for organizing the entire process. Think of it as a huge parcel company that needs to assign different shipments to their corresponding destinations in the most efficient way possible.
In any contemporary graphics chip, occupying the various registers and using the highest number of cores at the same time is crucial for performance. Poor organization can mean that the maximum possible resources are not used and force, for example, an increase in clock speed and with it an increase in consumption.
NVIDIA would already use it in its RTX 40
One of the behaviors we’ve observed in the next generation of NVIDIA graphics cards is how they behave when running low-resource games. What the RTX 30 and earlier did was fire up a few cores, but as the work piled up, they ended up running at Boost speeds and turning on the fans. Instead, better driver handling on their newer GPUs. What it does is that these titles use more chip resources, but at a lower clock speed and therefore with less impact on the electricity bill due to the performance they provide.
In any case, one of the keys could also be the use of compilers with AI to generate better binary code executed by the GPU on the graphics card. It often happens that the code generated during compilation is not the most efficient, and that certain high-level language instruction combinations do not result in the best instruction combinations for the processor. Although it is rather something that affects all programs.
In summary, NVIDIA’s commitment to AI has been paying off for gaming graphics cards for some time and given AMD’s recklessness all this time regarding this issue and its driver issues, it’s possible that the green mark turns a little further in terms of performance. .
