IoT Platform for Manufacturing, Industrial, Retail Made Possible by NVIDIA’s AI-Powered Jetson
SANTA CLARA, Calif.—March 7, 2017—NVIDIA today unveiled the NVIDIA® JetsonTM TX2, a credit card-sized platform that delivers AI computing at the edge — opening the door to powerfully intelligent factory robots, commercial drones and smart cameras for AI cities.
Jetson TX2 offers twice the performance of its predecessor, or it can run at more than twice the power efficiency, while drawing less than 7.5 watts of power. This allows Jetson TX2 to run larger, deeper neural networks on edge devices. The result: smarter devices with higher accuracy and faster response times for tasks like image classification, navigation and speech recognition.
“Jetson TX2 brings powerful AI capabilities at the edge, making possible a new class of intelligent machines,” said Deepu Talla, vice president and general manager of the Tegra business at NVIDIA. “These devices will enable intelligent video analytics that keep our cities smarter and safer, new kinds of robots that optimize manufacturing, and new collaboration that makes long- distance work more efficient.”
The Jetson TX2 joins the Jetson TX1 and TK1 products for embedded computing. Jetson is an open platform that is accessible to anyone for developing advanced AI solutions at the edge — from enterprise companies and startups to researchers and high school students.
“NVIDIA Jetson is a powerful platform that enables us to add AI features such as facial and speech recognition to our Spark products to connect everyone, everywhere,” said Snorre Kjesbu, vice president and general manager in the Collaboration Endpoints Technology Group at Cisco. “With Jetson TX2’s advanced technology capabilities in AI computing and graphics, we can continue to drive new experiences and remove the barriers between physical and virtual spaces.”
“For years, NVIDIA has demonstrated its commitment to FIRST through multifaceted support by providing Jetson developer kits for robot builds, online training resources, and team and event funding,” said Donald E. Bossi, president of FIRST, an international K-12 nonprofit focused on science and technology. “Through these efforts, NVIDIA is helping to inspire more young students to become innovators and inventors.”
System Specs and Software
Key features of Jetson TX2 include:
- GPU: 256-core NVIDIA PascalTM architecture-based GPU offering best-in-class performance
- CPU: Dual 64-bit NVIDIA Denver 2, Quad ARM® A57
- Video: 4K x 2K 60fps encode and decode
- Camera: 12 CSI lanes supporting up to 6 cameras; 2.5 gigabytes/second/lane
- Memory: 8GB LPDDR4; 58.3 gigabytes/second
- Storage: 32GB eMMC
- Connectivity: 802.11ac WLAN, Bluetooth
- Networking: 1GB Ethernet
- OS Support: Linux for Tegra®
- Size: 50mm x 87mm
The Jetson family is supported by the most comprehensive SDK for AI computing, JetPack 3.0, which makes it easy to integrate AI into a wide variety of applications, and support the following:
- TensorRTTM 1.0, a high-performance neural network interference engine for production deployment of deep learning applications
- cuDNN 5.1, a GPU-accelerated library of primitives for deep neural networks
- VisionWorksTM 1.6, a software development package for computer vision and image processing
- The latest graphics drivers and APIs, including OpenGL 4.5, OpenGL ES 3.2, EGL 1.4 and Vulkan 1.0
- CUDA® 8, which turns the GPU into a general-purpose massively parallel processor, giving developers access to tremendous performance and power-efficiency
Availability
The NVIDIA Jetson TX2 Developer Kit, which includes the carrier board and Jetson TX2 module, can be preordered today for $599 in the United States and Europe and will begin shipping March 14. It will be available in other regions in the coming weeks. The Jetson TX2 module will be available in Q2 for $399 (in quantities of 1,000 or more) from NVIDIA and its distributors around the world. The price of the Jetson TX1 Developer Kit has been reduced to $499.
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About NVIDIA
NVIDIA’s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.” More information at http://nvidianews.nvidia.com/.
