NVIDIA yesterday 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 Jetson 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.
Jetson TX1 is the first embedded computer designed to process deep neural networks -- computer software that can learn to recognize objects or interpret information. This new approach to program 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.
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.
"Jetson TX1 will enable a new generation of incredibly capable autonomous devices," said Deepu Talla, vice president and general manager of the Tegra business at NVIDIA. "They will navigate on their own, recognize objects and faces, and become increasingly intelligent through machine learning. It will enable developers to create industry-changing products."
Available as a module, Jetson TX1 is also built into a Developer Kit, which enables hobbyists and professionals to develop and test highly advanced autonomous devices. This makes it easy to transition from development to manufacturing and production.
Features:
－ GPU: 1 teraflops, 256-core Maxwell architecture-based GPU offering best-in-class performance
－ CPU: 64-bit ARM A57 CPUs
－ Video: 4K video encode and decode
－ Camera: Support for 1400 megapixels/second
－ Memory: 4GB LPDDR4; 25.6 gigabits/second
－ Storage: 16GB eMMC
－ Wi-Fi/Bluetooth: 802.11ac 2x2 Bluetooth ready
－ Networking: 1GB Ethernet
－ OS Support: Linux for Tegra
－ Size: 50mm x 87mm, slightly smaller than a credit card
