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Posted on November 11, 2015 by Dustin Franklin 21 Comments Tagged Autonomous Vehicles, cuDNN, Deep Learning, Jetson TX1, Tegra
Today NVIDIA introduced Jetson TX1, a small form-factor Linux system-on-module, destined for demanding embedded applications in visual computing. Designed for developers and makers everywhere, the miniature Jetson TX1 (figure 1) deploys teraflop-level supercomputing performance onboard platforms in the field. Backed by the Jetson TX1 Developer Kit, a premier developer community, and a software ecosystem including Jetpack, Linux For Tegra R23.1, CUDA Toolkit 7, cuDNN, and VisionWorks, Jetson enables machines everywhere with the proverbial brains required to achieve advanced levels of autonomy in today’s world.
Figure 1. The 50x87mm embedded Jetson TX1 module and thermal plate, featuring integrated Maxwell GPU, ARMv8 CPU, and H.265 video processor.
Aimed at developers interested in computer vision and on-the-fly sensing, Jetson TX1’s credit-card footprint and low power consumption mean that it’s geared for deployment onboard embedded systems with constrained size, weight, and power (SWaP). Jetson TX1 exceeds the performance of Intel’s high-end Core i7-6700K Skylake in deep learning classification with Caffe, and while drawing only a fraction of the power, achieves more than ten times the perf-per-watt.
Jetson provides superior efficiency while maintaining a developer-friendly environment for agile prototyping and product development, removing extra legwork typically associated with deploying power-limited embedded systems. Jetson TX1’s small form-factor module enables developers everywhere to deploy Tegra into embedded applications ranging from autonomous navigation to deep learning-driven inference and analytics.
Jetson TX1 Module
Built around NVIDIA’s 20nm Tegra X1 SoC featuring the 1024-GFLOP Maxwell GPU, 64-bit quad-core ARM Cortex-A57, and hardware H.265 encoder/decoder, Jetson TX1 measures in at 50x87mm and is packed with performance and functionality. Onboard components include 4GB LPDDR4, 16GB eMMC flash, 802.11ac WiFi, Bluetooth 4.0, Gigabit Ethernet, and accepts 5.5V-19.6VDC input (figure 2). Peripheral interfaces consist of up to six MIPI CSI-2 cameras (on a dual ISP), 2x USB 3.0, 3x USB 2.0, PCIe gen2 x4 + x1, independent HDMI 2.0/DP 1.2 and DSI/eDP 1.4, 3x SPI, 4x I2C, 3x UART, SATA, GPIO, and others. Needless to say, Jetson TX1 stands tall in the face of many an algorithmic and integration challenge.
The Jetson module utilizes a 400-pin board-to-board connector (figure 3) for interfacing with the Developer Kit’s reference carrier board, or with a bespoke, customized board designed during your productization process. Tegra’s chip-level capabilities and I/O are closely mapped to the module’s pin-out. The pin-out will be backward-compatible with future versions of the Jetson module. Jetson TX1 comes with an integrated thermal transfer plate (figure 3), rated between -25°C and 80°C, for interfacing with passive or active cooling solutions. Consult NVIDIA’s Embedded Developer Zone for thorough documentation and detailed electromechanical specifications, in addition to visiting the active and open development community on Devtalk.
Figure 3. Left to right: Top of Jetson TX1 module, bottom (with connector), and complete assembly with TTP.Figure 3. Left to right: Top of Jetson TX1 module, bottom (with connector), and complete assembly with TTP.
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