ASUS Unveils World's First 500Hz G-SYNC Compatible Monitor

Until recently, the goal was to achieve a stable 60 frames per second. However, the appearance of high-frequency panels has become increasingly important in two different markets: virtual reality and eSports. And it is that it is demonstrated that despite the fact that we cannot see more than one frame rate, our brain reacts to certain stimuli. That is why we already have the first NVIDIA G-SYNC monitor at 500 Hz and it is from ASUS. So it is not a promise, since they have shown it for the first time on an ASUS ROG Swift monitor. Do you want to know the details?

ASUS Unveils World's First 500Hz G-SYNC Compatible Monitor

There is a myth that our eye cannot see more than 60 frames per second. In reality, what we see is what the brain processes and it has been shown that it is capable of responding to stimuli at high speed. It is not common to face them on a day-to-day basis, but you can ask any racing driver. The fact is that in the world of eSports, where the fact that your brain receives the necessary information at the right time is key to winning games. This is called vision in advance and it is the ability of our brain to react in very short periods of time. Well, it is on this principle that high-frequency monitors are based, and NVIDIA believes that it should be

ASUS ROG Swift, the first monitor compatible with G-SYNC at 500 Hz

A speed of 500 Hz on a monitor means that the time it takes for the image to change is only 2 milliseconds. Which is over the top speed, but this is what the people at ASUS have achieved with NVIDIA in the form of a new G-SYNC monitor. A monitor that can display up to 500 frames per second. Of course, the entire frame generation process, from when we move the mouse until the pixels are displayed on the screen, must last less than 2 milliseconds in total.

The ASUS ROG Swift monitor with G-SYNC at 500 Hz is a TN-type monitor with a resolution of 1080p . Considering that HDMI 2.1 can only achieve up to 240Hz under those conditions and it is the fastest video interface. This makes us think that NVIDIA is using some type of proprietary compression between the graphics card and the screen and it is not the only point that makes us suspect that Jen Hsun Huang’s company has applied its technology.

One of the most important points of the AI is the prediction of movement, which allows us to create frames taking into account the displacement of the different elements on the screen of the previous frame. At those speeds our eye doesn’t have time to look at the exact level of detail. So we believe that NVIDIA makes use of Deep Learning algorithms executed in its graphics to generate frames at such high speeds automatically. These are interleaved with those generated by the GPU as normal.