Nvidia powers up drones, robots with Jetson TX1 board

11 Nov 2015 | Author: | No comments yet »

NVIDIA’s Jetson TX1 Module Could Result In Smarter Drones And Robots.

NVIDIA (NASDAQ: NVDA) today 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. The company claims that in certain deep learning tasks that rely on dynamic input and computations—autonomous drones, facial recognition and behavioural analysis, and computer vision—the Jetson TX1 will beat out an Intel Core i7 6700K Skylake CPU in performance.

The TX1 is almost identical to the SoC used in the Shield Android TV, which features an 8-core 64-bit ARM CPU—made up of four A57 cores with 2MB L2 cache, and four A53 cores with 512KB L2 cache—and a Maxwell-based 256-core GPU that’s claimed to provide up to 1 teraflop of processing power. 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. The idea is that developers who wish to focus purely on software and/or peripheral development can buy a complete kit, while those wanting to use in the TX1 in more integrated solutions can just buy the compute module. 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.

Those who opt for the complete kit will get a carrier board that offers a full suite of I/O, including Gigabit Ethernet, 802.11ac 2×2 Wi-Fi, HDMI, USB, M.2, a large number of GPIO pins, a camera serial interface with 5MP camera, and a PCIe 2.0 x4 slot. It has uses that range from artificial intelligence-assisted robots, to advanced systems in automobiles, and to Internet of Things-connected intelligent machines. Our students will use TX1 for embedded vision, stereo reconstruction and machine learning, so their scale racecars will be able to detect and avoid obstacles. I’m excited with the possibilities that Jetson offers.” Jeff Bier, president of Berkeley Design Technology, Inc., said: “Based on BDTI’s independent analysis, the Jetson TX1 stands out in three respects. Third, support for CUDA enables developers to use the GPU to accelerate their applications without having to delve into the complexities of GPU programming.” Availability The NVIDIA Jetson TX1 Developer Kit can be preordered starting Nov. 12 for $599 in the United States, with availability in other regions in the next few weeks.

Keep Current on NVIDIA Subscribe to the NVIDIA blog, follow us on Facebook, Google+, Twitter, LinkedIn and Instagram, and view NVIDIA videos on YouTube and images on Flickr. The company’s technologies are transforming a world of displays into a world of interactive discovery — for everyone from gamers to scientists, and consumers to enterprise customers. Certain statements in this press release including, but not limited to, statements as to: the features, performance, benefits and availability of Jetson TX1 are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2015 NVIDIA Corporation. NVIDIA, the NVIDIA logo, Tegra, CUDA, Maxwell, NVIDIA Jetson and NVIDIA VisionWorks are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries.

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