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The world's first supercomputer on a module, Jetson TX1 is capable of delivering the performance and power efficiency needed for the latest visual computing applications. It's built around the revolutionary NVIDIA Maxwell architecture with 256 CUDA cores delivering over 1 TeraFLOPs of performance. 64-bit CPUs, 4K video endcode and decode capabilities, and a camera interface capable of 1400 MPix/s make this the best system for embedded deep learning, computer vision, graphics, and GPU computing.
THE LATEST TECHNOLOGY
The Jetson SDK supports the latest drivers, libraries, and APIs.
- cuDNN is a CUDA-accelerated library for deep learning. It's compatible with
many industry-standard deep learning frameworks for both training and
inference, including Caffe, Theano, and Torch.
- VisionWorks is a CUDA-accelerated library and framework
for computer vision. It is an implementation of the OpenVX 1.0.1
specification with additional NVIDIA extensions.
- Jetson TX1 supports the latest graphics drivers and APIs, including OpenGL 4.5, OpenGL ES 3.1, and Vulkan.
- This module is built around an NVIDIA Maxwell processor, which means full support for NVIDIA CUDA 7.0. CUDA turns the GPU into a general-purpose graphics processor unit (GPGPU), giving developers access to tremendous parallel performance and power efficiency.
Technical note: When used with any of the Connect Tech carrier boards: CTI L4T needs to be loaded for full functionality (Further info)
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GPU
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1 TFLOP/s 256-core with NVIDIA Maxwell Architecture
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CPU
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64-bit ARM A57 CPUs
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Memory
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4 GB LPDDR4 | 25.6 GB/s
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Video decode
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4K 60 Hz
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Video encode
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4K 30 Hz
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CSI
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Up to 6 cameras | 1400 Mpix/s
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Display
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2x DSI, 1x eDP 1.4, 1x DP 1.2/HDMI
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Connectivity
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Connects to 802.11ac Wi-Fi and Bluetooth-enabled devices
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Networking
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1 Gigabit Ethernet
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PCIE
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Gen 2 1x1 + 1x4
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Storage
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16 GB eMMC, SDIO, SATA
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Other
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3x UART, 3x SPI, 4x I2C, 4x I2S, GPIOs
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