How Nvidia Is Using AI To Make Even Faster And Better GPUs
The world-famous chip maker, Nvidia, is using its powerful graphics cards to help its engineers design the next generation of GPUs. Nvidia is currently at the forefront of GPU manufacturing and artificial intelligence. Nvidia DLSS and OptiX are two of the popular AI technologies the company has developed recently. Additionally, the company is always in the process of developing applications that utilize its GPUs in the best possible manner.
Nvidia currently dominates the competition in terms of discreet GPU market share and gaming. According to Jon Peddie Research, Nvidia has 81 percent of the dGPU market share. Additionally, as per the Steam gaming hardware survey, 77.13 percent of PC gamers use Nvidia GPUs on the platform. This high demand for Nvidia GPUs rose through the roof during the pandemic due to a mixture of the supply chain, scalping and crypto mining issues. As a result, in 2021, Nvidia cards saw a 300 percent price hike in their street price and yet remained out of stock most of the time. Thankfully, Nvidia GPU prices have started to come down in recent months.
Related: Nvidia's RTX 3090 Ti Costs $1999 And Is Available Now, If You Can Find One
Nvidia makes some of the best GPUs on the market. And they’re now taking their chip design capabilities to another level by incorporating machine learning features by using its own GPUs. During an Nvidia GTC conference, the company's chief scientist Bill Dally said, "It’s natural as an expert in AI that we would want to take that AI and use it to design better chips." So to design better GPUs, the development team at Nvidia is enhancing current-gen computer-enabled design tools with AI capabilities. It is primarily doing so in four major areas.
The first area involves
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