NVIDIA CEO and co-founder Jen-Hsun Huang showcased three new technologies that will fuel deep learning during his opening keynote address to the 4,000 attendees of the GPU Technology Conference:
* NVIDIA GeForce GTX TITAN X – the most powerful processor ever built for training deep neural networks.
* DIGITS Deep Learning GPU Training System – a software application that makes it far easier for data scientists and researchers to quickly create high-quality deep neural networks.
* DIGITS DevBox – the world’s fastest deskside deep learning appliance — purpose-built for the task, powered by four TITAN X GPUs and loaded with the intuitive-to-use DIGITS training system.
Double life: Titan X can spin elaborate virtual worlds or blast through heavy-duty science.
Built on the NVIDIA Maxwell GPU architecture, TITAN X delivers twice the performance and double the power efficiency of its predecessor by combining 3,072 processing cores for 7 teraflops of peak single-precision performance with 12GB of onboard memory.
With that processing power and 336.5GB/s of memory bandwidth, it can rip through the millions of pieces of data used to train deep neural networks. On AlexNet, an industry-standard model, for example, TITAN X took less than three days to train the model using the 1.2 million image ImageNet dataset, compared with over 40 days for a 16-core CPU.
Available today, TITAN X is selling for just $999.
DIGITS DevBox: World’s Fastest Deskside Deep Learning Machine
Built by the NVIDIA deep learning engineering team for its own R&D work, the DIGITS DevBox is an all-in-one powerhouse of a platform for speeding up deep learning research.
Starting with its four TITAN X GPUs, every component of the DevBox – from memory to I/O to power – has been optimized to deliver highly efficient performance for the toughest deep learning research.
DIGITS: Quick, Easy Path to the Best Deep Neural Net
Using deep neural networks to train computers to teach themselves how to classify and recognize objects can be an onerous, time-consuming task.
The DIGITS Deep Learning GPU Training System software changes that by giving users what they need from start to finish to build the best possible deep neural nets.
Available for download at http://developer.nvidia.com/digits, it’s the first all-in-one graphical system for designing, training and validating deep neural networks for image classification.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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