Nvidia is one of the biggest names, possibly the biggest, in the world of graphics processors.
Their products are used for a variety of purposes. Intense applications like HD gaming, streaming, and recording each require enough processing power to withstand the demands and without bogging down the system.
Applications like video editors, 3D rendering tools, and high-end calculation programs all require more graphical power than the average motherboard offers. When onboard graphics aren’t enough, dedicated graphics processing units (GPUs) are the next logical step.
Nvidia has become a trusted source in their industry, frequently announcing the newest and most groundbreaking GPUs on the market. Even with solid competition from popular tech companies like AMD, Nvidia still remains a leader in their field.
Their latest creation, the Titan V, is said to be the most powerful graphics processing unit ever created for a common PC. It takes advantage of the company’s Volta architecture – the first consumer-grade card to do so.
The card will have 12GB of memory. Most good cards can usually get by with four, with some of the higher-end models on the market offering eight. Nvidia also says the card will have 110 teraflops of performance. This puts it head-and-shoulders above other GPUs on the market. The same can be said about its price tag. In the U.S., the Titan V will cost a whopping $2,999.
Nvidia’s newest offering may be pricey, but it isn’t just meant to appeal to gamers or video editors. The processor’s architecture and design choice offer the type of computing power needed for applications that will grow more popular in the coming years. Namely, processing scientific simulations and creating artificial intelligence.
These concepts may seem far off from the graphics industry. At a glance, some may see companies like Nvidia and AMD as entities focused solely on creating the greatest visual presentation for their customers – at least when it comes to their place in the graphics industry.
But graphics processing units can do a lot more than add pixels and shade effects to an image. The act of processing images and providing a response in return is something that could have a major effect on many industries.
The commercial freight industry is proving this, as Nvidia is backing an autonomous trucking startup. They’ll be lending some of their graphics processors to the company, which they will use for surveying the area around vehicles to relay information to self-driving kits on how to pilot them.
It’s somewhat of a hybrid of backup cameras, collision detection, and cruise control. Autonomous vehicles represent one product line where AI could be a hit, and social media represents another. Nvidia’s GPU could be used with AI systems to analyze photos and generate audio descriptions for the blind, or captions of videos for the deaf.
There’s no word on when the powerful unit will be available for purchase, but Nvidia’s GTX 1080 Ti remains a top choice. It uses the Pascal architecture, which was introduced nearly two years ago.