Tuesday, November 10th 2015
NVIDIA Announces Jetson TX1 Module to Bring Deep Learning to Robots and Drones
NVIDIA 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.
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. 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.
"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.
Industry Support
Ovum Principal Analyst Michael Azoff said: "Jetson TX1 is a significant advance in moving machine learning applications from research into the real world. It has uses that range from artificial intelligence-assisted robots, to advanced systems in automobiles, and to Internet of Things-connected intelligent machines. The ecosystem around Jetson will accelerate the transfer of AI from lab to real-world machines."
Sertac Karaman, professor of aeronautics and astronautics at the Massachusetts Institute of Technology, said, "NVIDIA's Jetson TX1 is so powerful and easy to use, we decided to base MIT's robotics systems and science course around it. 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. First, developing applications on the Jetson TX1 feels more like developing on a PC than like developing on a typical embedded board. Second, the JetPackTX1 installer makes it easy to install a system image on the board. Third, support for CUDA enables developers to use the GPU to accelerate their applications without having to delve into the complexities of GPU programming."
System Specs and Software
Key features of Jetson TX1 include:
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. The Jetson TX1 module will be available in early 2016 at a suggested price of $299 (in quantities of 1,000 or more) from distributors around the world.
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. Machine learning is a groundbreaking technology that will give autonomous devices a giant leap in capability.
"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.
Industry Support
Ovum Principal Analyst Michael Azoff said: "Jetson TX1 is a significant advance in moving machine learning applications from research into the real world. It has uses that range from artificial intelligence-assisted robots, to advanced systems in automobiles, and to Internet of Things-connected intelligent machines. The ecosystem around Jetson will accelerate the transfer of AI from lab to real-world machines."
Sertac Karaman, professor of aeronautics and astronautics at the Massachusetts Institute of Technology, said, "NVIDIA's Jetson TX1 is so powerful and easy to use, we decided to base MIT's robotics systems and science course around it. 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. First, developing applications on the Jetson TX1 feels more like developing on a PC than like developing on a typical embedded board. Second, the JetPackTX1 installer makes it easy to install a system image on the board. Third, support for CUDA enables developers to use the GPU to accelerate their applications without having to delve into the complexities of GPU programming."
System Specs and Software
Key features of Jetson TX1 include:
- 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
- cuDNN 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.
- 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.
- Support for the latest graphics drivers and APIs, including OpenGL 4.5, OpenGL ES 3.1 and Vulkan.
- Support for CUDA 7.0. CUDA turns the GPU into a general-purpose processor, giving developers access to tremendous parallel performance and power efficiency.
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. The Jetson TX1 module will be available in early 2016 at a suggested price of $299 (in quantities of 1,000 or more) from distributors around the world.
31 Comments on NVIDIA Announces Jetson TX1 Module to Bring Deep Learning to Robots and Drones
@TruthTeller,
+ 10 points for speaking your piece and defending yourself. I give you props. Furthermore, I'm neutral on the topic.
@HumanSmoke,
- 10 points for attacking ppl for their views and posting it on TPU... I was going to make a comment like "NVidia sucks." See how long it would take for you to attack me or feed some articulate line that AMD fanboys are divorced from reality.
about the price. 599 is for developers kit and includes everything you need to program the kit for the first time and then if you need to use it in as part of product you buy it for 299 . And that price is not much for this hardware.
about the deep learning. Deep learning for machines is like cheating because it use what it has learned to reduce processing time. That is why the Tegra X1 can normally do 1 Tera flops and same hardware can do 2 Tera flops after some deep learning and maybe after sometime it will be ridiculously fast and that is like experience for human.
for this board the TX1 you can pay 299$ for the board if you buy it in big quantities and that is not bad if you consider the hardware.
Do you know that there are more than 500 college in the world teaching CUDA and many of them got the hardware and software for free. It's not a charity it's type of smart business move from nVidia to bring thousands of computer programmers every year who believe that CUDA is Fortran replacement.
nVidia is following the old school textbook literally. They offer the hardware, the software, technical support and the people who have the knowledge to operate. Now they can charge premium for all that. IBM did that, Microsoft, Oracle, Google, SAP and many more. That is the old school with due respect to all of them.