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Tiny Supercomputer to Bring Artificial Intelligence to New Generation of Autonomous Robots and Drones
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NVIDIA has unveiled a credit-card sized module that harnesses the power of machine learning to enable a new generation of smart, autonomous machines that can learn. The NVIDIA JetsonTM TX1 module addresses the challenge of creating a new wave of millions of smart devices — drones that don’t just fly by remote control, but navigate their way through a forest for search and rescue; compact security surveillance systems that don’t just scan crowds, but identify suspicious activity; and robots that don’t just perform tasks, but tailor them to individuals’ habits — by incorporating capabilities such as machine learning, computer vision, navigation and more.
NVIDIA is positioning the Jetson TX1 as the first embedded computer designed to process deep neural networks — computer software that can learn to recognize objects or interpret information. This approach to programing computers is called machine learning and can be used to perform complex tasks such as recognizing images, processing conversational speech, or analyzing a room full of furniture and finding a path to navigate across it. Machine learning is a groundbreaking technology that will give autonomous devices a giant leap in capability.
With its 1 teraflops of performance — comparable to the fastest supercomputer from 15 years ago — Jetson delivers exceptional performance for machine learning, computer vision, GPU computing and graphics, while drawing very little power. Available as a module, Jetson TX1 is also built into a developer kit that enables hobbyists and professionals to develop and test highly advanced autonomous devices. This makes it easy to transition from development to manufacturing and production.
The Jetson TX1 module measures 50mm x 87mm and includes a 256-core Maxwell architecture-based GPU offering best-in-class performance at 1 teraflops supported by 64-bit ARM A-57 CPUs. It also has camera support for 1400 megapixels per second with 4K video encode and decode. Module memory is 4GB LPDDR4 at 25.6 gigabits/second with 16GB eMMC storage. Wi-Fi and Bluetooth are supported along with 1 GB Ethernet. And operating systems support is provided in the form of Linux for Tegra.
The Jetson TX1 includes a comprehensive SDK for embedded visual computing, including cuDNN, which is a CUDA-accelerated library for machine learning. For both training and inference, it is compatible with many industry-standard frameworks, including Caffe, Theano and Torch. In addition, VisionWorks is a CUDA-accelerated library and framework for computer vision. It is an implementation of the OpenVX 1.1 specification with additional NVIDIA extensions. The SDK includes support for the latest graphics drivers and APIs, including OpenGL 4.5, OpenGL ES 3.1 and Vulkan. Support for CUDA 7.0. enables CUDA to turn the GPU into a general-purpose processor, giving developers access to tremendous parallel performance and power efficiency.
NVIDIA, Santa Clara, CA
(408) 486-2000. www.nvidia.com