Wednesday, March 8th 2017
NVIDIA Announces the Jetson TX2 IoT System
NVIDIA today unveiled the NVIDIA Jetson 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.
Partner Support
NVIDIA Jetson is a powerful platform that enables Cisco to add AI features such as facial and speech recognition to its Cisco Spark products that connect everyone, everywhere. Cisco is able to drive new experiences and remove the barriers between physical and virtual spaces, thanks to the Jetson TX2's advanced technology capabilities in AI computing and graphics.
"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."
Key features of Jetson TX2 include:
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.
"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."
Partner Support
NVIDIA Jetson is a powerful platform that enables Cisco to add AI features such as facial and speech recognition to its Cisco Spark products that connect everyone, everywhere. Cisco is able to drive new experiences and remove the barriers between physical and virtual spaces, thanks to the Jetson TX2's advanced technology capabilities in AI computing and graphics.
"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."
Key features of Jetson TX2 include:
- GPU: 256-core NVIDIA Pascal 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
- TensorRT 1.0, a high-performance neural network inference engine for production deployment of deep learning applications
- cuDNN 5.1, a GPU-accelerated library of primitives for deep neural networks
- VisionWorks 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
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.
10 Comments on NVIDIA Announces the Jetson TX2 IoT System
Even for TX1 platform it was cheaper to spend lots of time to hack/modify a ShieldTV, rather than pay $600+ for a dev kit (especially useful if you don't need GPIO).That's the one Nintendo is rumored to use, but it is no big deal for a portable(even at 1080p or higher).
Even TK1 can do some impressive stuff in a handheld console, and it is already 2 generations old.
I see the Shield market as few and far between, and their still hot crap just like the first one.
However, the device pictured may be coming close to useful but overpriced and many of the same things can be done with off the shelf hardware, Nvidia is pushing hard to gain traction in other markets still.
No one even can define properly, what IoT is, because at the beginning many "professionals" and "people involved in industry" were trying to differentiate between IoT and regular connected devices.
All such attempts failed, because there is not even a blurry line between two types... Right now any device with networking capabilities (RF, BT, WiFi, Ethernet etc. ) is marketed as IoT.
In my understanding, IoT is not what the device is, but mainly - how you use it. E.g. if I make a quadrocopter with real-time tracking - it is a connected device. If I add a cloud service for autonomous navigation - it is IoT (that's how it was defined not too long ago). Marketers think otherwise: if a device farts a TCP/IP packet once a year - it qualifies as IoT.
I have one and its a fantastic machine, its 10 times better than my Pi3 media player or any other media player i've used.
shop.intrinsyc.com/products/open-q-820-development-kit
don't compare off the shelf hardware with development board.
My Wii U does Hulu, Netflix YouTube and much else plus it plays its own games.