NVIDIA has announced its newest flagship graphics card

NVIDIA announced it’s newest flagship graphics card at an event in San Francisco on Friday, and CEO Jen-Hsun Huang claims that it’s the product of billions of dollars of research and development. That claim is easy to believe when you hear that the card, known as the GeForce GTX 1080, is faster than two of its predecessors running in SLI, which means that the two of them are essentially combining their power. What’s more, the GTX 1080 is significantly faster than the GTX Titan X, but only uses a third of the energy as that monster of a graphics card. Naturally, this kind of power won’t come cheap, but NVIDIA has yet to announce the official price of the GTX 1080.

At a special event today, Nvidia has announced their new flagship graphics card: the GeForce GTX 1080. This card uses a new Pascal GPU, built on a 16nm FinFET process, as well as GDDR5X memory from Micron. Nvidia says they spent several billions of dollars developing Pascal, and the result is a massive GPU capable of powering today and tomorrow’s games at ultra quality settings. It’s also energy efficient thanks to improvements in the way Nvidia delivers power to the GPU, making Pascal the company’s most efficient architecture yet. According to Nvidia, the GTX 1080 is “a whole lot” faster than the Titan X, and faster than two GTX 980s in SLI, while consuming a lot less power. The chart above sees the GTX 1080 consume around 180W of power, compared to the 165W TDP of the GTX 980, with performance around 30% faster than the Titan X. An on-stage demo of the GTX 1080 had the card’s core running at 2.1 GHz air cooled, with a temperature of less than 70°C. While these aren’t the stock clock speeds for the 1080, it shows just how overclocking friendly this card will be. The stock clock speeds for the GTX 1080 are 1607 MHz with a boost of 1733 MHz, on 2,560 CUDA cores. This suggests the card is using a GP104 core rather than the full GP100 GPU used on the Tesla P100, which comes partially-disabled with 3,584 CUDA cores.