HPC

Nvidia tears wraps off GeForce Titan X (again) and $10,000 GPU brain for DIY self-driving cars

Hardware teased at games conf – plus AI dev kits


GTC 2015 Nvidia CEO Jen-Hsun Huang confirmed the arrival of the GeForce Titan X just a few minutes ago today, dubbing it Nvi's fastest single-chip GPU to date. He also showed off two development kits: a $15,000 deep-learning system, and a $10,000 DIY self-driving car brain.

The US chip maker's boss was speaking at this year's GPU Technology Conference in San Jose, California.

The Titan X, codenamed GM200, is a 28nm Maxwell GPU with 12GB of GDDR5 Hynix RAM, 1GHz clock speed, 336GB/s memory bandwidth, 8 billion transistors, 3,072 CUDA cores, 7TFLOPS (single precision) and 0.2TFLOPs (double precision) performance, and a PCIe 3.0 x16 interface.

The 601mm2 die features 192 texture mapping units and 96 raster units, a 384-bit memory bus, 3MB of L2 cache, and a thermal design power (TDP) of 250W. It has the usual DVI, HDMI and three display ports.

The card was hinted at during this year's Games Developer Conference in San Francisco. You'll need a Titan Z if you want double-precision math performance.

How the Titan X compares to other Nvidia hardware (Source: wccftech.com)

Nvidia is pitching the Titan X not just for games, but also for deep-learning processing, and has priced it at $999 like previous Titan cards.

In other developments:

  • The chip maker is also touting a Digits Devbox, a PC running Ubuntu GNU/Linux and four Titan X cards, for engineers to produce deep-learning software. It will be available in May 2015, and cost $15,000. Nvidia is building them one by one, aimed at experts playing with machine learning, rather than gamers wanting to play Crysis.
  • Nvidia's 2016-slated Pascal GPU will have 32GB of RAM, 3D memory, three times the memory bandwidth of the 2014 Maxwell, the Nvlink interconnect, and mixed precision [PDF].
  • Nvidia is also getting pretty excited by smart-cars as well as deep-learning. "The future of your car will be digital displays, touch, and gesture. Your car will be one delightful computer running down the road," Huang said.
  • Huang again outlined the Nvidia Drive PX self-driving car, that senses its surroundings on the road, plans ahead using decision-making deep neutral network algorithms, and controls the vehicle – steering, braking, accelerating, and warning. It has two Tegra X1 GPUs, 12 camera inputs, and can process 184 frames a second using 630 million neutral network connections. The Drive PX circuit board will go on sale in May 2015, and cost $10,000 – it's aimed at engineers as a DIY self-driving car kit (like Intel's board from last year).
  • SpaceX and Tesla supremo Elon Musk joined Huang on stage to describe self-driving cars as "elevators." Press a button, and go.
  • Musk repeated his fears of artificial intelligence, not the sort of machine learning in a smart air conditioning unit, but "big intelligence." ®

Similar topics

Narrower topics


Other stories you might like

  • Experts: AI should be recognized as inventors in patent law
    Plus: Police release deepfake of murdered teen in cold case, and more

    In-brief Governments around the world should pass intellectual property laws that grant rights to AI systems, two academics at the University of New South Wales in Australia argued.

    Alexandra George, and Toby Walsh, professors of law and AI, respectively, believe failing to recognize machines as inventors could have long-lasting impacts on economies and societies. 

    "If courts and governments decide that AI-made inventions cannot be patented, the implications could be huge," they wrote in a comment article published in Nature. "Funders and businesses would be less incentivized to pursue useful research using AI inventors when a return on their investment could be limited. Society could miss out on the development of worthwhile and life-saving inventions."

    Continue reading
  • Declassified and released: More secret files on US govt's emergency doomsday powers
    Nuke incoming? Quick break out the plans for rationing, censorship, property seizures, and more

    More papers describing the orders and messages the US President can issue in the event of apocalyptic crises, such as a devastating nuclear attack, have been declassified and released for all to see.

    These government files are part of a larger collection of records that discuss the nature, reach, and use of secret Presidential Emergency Action Documents: these are executive orders, announcements, and statements to Congress that are all ready to sign and send out as soon as a doomsday scenario occurs. PEADs are supposed to give America's commander-in-chief immediate extraordinary powers to overcome extraordinary events.

    PEADs have never been declassified or revealed before. They remain hush-hush, and their exact details are not publicly known.

    Continue reading
  • Stolen university credentials up for sale by Russian crooks, FBI warns
    Forget dark-web souks, thousands of these are already being traded on public bazaars

    Russian crooks are selling network credentials and virtual private network access for a "multitude" of US universities and colleges on criminal marketplaces, according to the FBI.

    According to a warning issued on Thursday, these stolen credentials sell for thousands of dollars on both dark web and public internet forums, and could lead to subsequent cyberattacks against individual employees or the schools themselves.

    "The exposure of usernames and passwords can lead to brute force credential stuffing computer network attacks, whereby attackers attempt logins across various internet sites or exploit them for subsequent cyber attacks as criminal actors take advantage of users recycling the same credentials across multiple accounts, internet sites, and services," the Feds' alert [PDF] said.

    Continue reading

Biting the hand that feeds IT © 1998–2022