NVIDIA puts its head in the clouds
Today at the 2012 NVIDIA GPU Technology Conference (GTC), NVIDIA took the wraps off a new cloud gaming technology that promises to reduce latency and improve the quality of streaming gaming using the power of NVIDIA GPUs. Dubbed GeForce GRID, NVIDIA is offering the technology to online services like Gaikai and OTOY.
The goal of GRID is to bring the promise of "console quality" gaming to every device a user has. The term "console quality" is kind of important here as NVIDIA is trying desperately to not upset all the PC gamers that purchase high-margin GeForce products. The goal of GRID is pretty simple though and should be seen as an evolution of the online streaming gaming that we have covered in the past–like OnLive. Being able to play high quality games on your TV, your computer, your tablet or even your phone without the need for high-performance and power hungry graphics processors through streaming services is what many believe the future of gaming is all about.
GRID starts with the Kepler GPU - what NVIDIA is now dubbing the first "cloud GPU" - that has the capability to virtualize graphics processing while being power efficient. The inclusion of a hardware fixed-function video encoder is important as well as it will aid in the process of compressing images that are delivered over the Internet by the streaming gaming service.
This diagram shows us how the Kepler GPU handles and accelerates the processing required for online gaming services. On the server side, the necessary process for an image to find its way to the user is more than just a simple render to a frame buffer. In current cloud gaming scenarios the frame buffer would have to be copied to the main system memory, compressed on the CPU and then sent via the network connection. With NVIDIA's GRID technology that capture and compression happens on the GPU memory and thus can be on its way to the gamer faster.
The results are H.264 streams that are compressed quickly and efficiently to be sent out over the network and return to the end user on whatever device they are using.