Artificial Intelligence
With artificial intelligence sweeping across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars.
NVIDIA CEO Jen-Hsun Huang has shown off new GPUs and AI platforms for developers at the company's GPU Technology Conference in San Jose, California that kicked off today. The new products and technologies focused on deep learning, virtual reality and self-driving cars.
NVIDIA developed its new VR rendering tool, called Iray VR, to work with consumer devices like Google Cardboard
. Iray VR capabilities will allow users to create environments appear on a headset as photorealistic virtual environments. Virtual reality users will be able to look around the inside of a virtual car, a modern loft, or the interior of our still unfinished Silicon Valley campus with uncanny accuracy.
There are two versions of Iray VR, one for desktops and data centers, and a version called Iray VR Lite that can run on a wide range of platforms, from full-scale VR headsets to the free Google Cardboard.
"Not too many people have supercomputers," Huang said. "We want people to enjoy VR irrespective of the computing platform they have."
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Huang also unveiled the world’s first deep-learning supercomputer in a box — a single integrated system with the computing throughput of 250 servers. The NVIDIA DGX-1, with 170 teraflops of half precision performance, can speed up training times by over 12 times faster than the not-too-old Maxwell CPUs rolled out last year.NVIDIA designed the DGX-1 for a new computing model to power the AI revolution that is sweeping across science, enterprises and increasingly all aspects of daily life. Powerful deep neural networks are driving a new kind of software created with massive amounts of data, which require considerably higher levels of computational performance.
"The DGX-1 is easy to deploy and was created for one purpose: to unlock the powers of superhuman capabilities and apply them to problems that were once unsolvable."
"Artificial intelligence is the most far-reaching technological advancement in our lifetime," said Huang. "It changes every industry, every company, everything. It will open up markets to benefit everyone. Data scientists and AI researchers today spend far too much time on home-brewed high performance computing solutions. The DGX-1 is easy to deploy and was created for one purpose: to unlock the powers of superhuman capabilities and apply them to problems that were once unsolvable."The NVIDIA DGX-1 deep learning system is built on NVIDIA Tesla P100 GPUs, based on the new NVIDIA Pascal GPU architecture. It provides the throughput of 250 CPU-based servers, networking, cables and racks -- all in a single box.
The DGX-1 features four other breakthrough technologies that maximize performance and ease of use. These include the high-speed interconnect for maximum application scalability; 16nm FinFET fabrication technology for unprecedented energy efficiency; Chip on Wafer on Substrate with HBM2 for big data workloads; and new half-precision instructions to deliver more than 21 teraflops of peak performance for deep learning.
"NVIDIA GPU is accelerating progress in AI. As neural nets become larger and larger, we not only need faster GPUs with larger and faster memory, but also much faster GPU-to-GPU communication, as well as hardware that can take advantage of reduced-precision arithmetic. This is precisely what Pascal delivers," said Yann LeCun, director of AI Research at Facebook.
Andrew Ng, chief scientist at Baidu, said: "AI computers are like space rockets: The bigger the better. Pascal's throughput and interconnect will make the biggest rocket we've seen yet."
The $129,000 price tag for the DGX-1 may seem like a hefty sum, but considering the stated capabilities, it may be yet another huge accelerator for the development of AI and deep learning systems.
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