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            Jetson Store

            Jetson Nano

            Jetson Nano Developer Kit
            • Overview
            • Specs

            NVIDIA? Jetson Nano? Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.

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            Developer Kit I/Os
            USB 4x USB 3.0, USB 2.0 Micro-B
            Camera Connector 1x MIPI CSI-2 DPHY lanes
            Connectivity Gigabit Ethernet, M.2 Key E
            Storage microSD (not included)
            Display HDMI 2.0 and eDP 1.4
            Others GPIO, I2C, I2S, SPI, UART
            Jetson Nano Module
            • Overview
            • Specs

            Jetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IOT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.

            Technical Specifications
            GPU NVIDIA Maxwell? architecture with 128 NVIDIA CUDA? cores
            0.5 TFLOPs (FP16)
            CPU Quad-core ARM? Cortex?-A57 MPCore processor
            Memory 4 GB 64-bit LPDDR4
            1600MHz - 25.6 GB/s
            Storage 16 GB eMMC 5.1 Flash
            Video Encode 250 MP/sec
            1x 4K @ 30 (HEVC)
            2x 1080p @ 60 (HEVC)
            4x 1080p @ 30 (HEVC)
            Video Decode 500 MP/sec
            1x 4K @ 60 (HEVC)
            2x 4K @ 30 (HEVC)
            4x 1080p @ 60 (HEVC)
            8x 1080p @ 30 (HEVC)
            Camera 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)
            Connectivity Wi-Fi requires external chip
            10/100/1000 BASE-T Ethernet
            Display HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
            UPHY 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
            I/O 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
            Size 69.6 mm x 45 mm
            Mechanical 260-pin edge connector

            Jetson AGX Xavier

            Jetson AGX Xavier Developer Kit
            • Overview
            • Specs

            With the NVIDIA Jetson AGX Xavier developer kit, you can easily create and deploy end-to-end AI robotics applications for manufacturing, delivery, retail, smart cities, and more. Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA?, cuDNN, and TensorRT software libraries, the kit provides all the tools you need to get started right away. And because it’s powered by the new NVIDIA Xavier processor, you now have more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2. Get started today with the Jetson AGX Xavier Developer Kit.

            Developer Kit I/Os
            PCIe X16 X8 PCIe Gen4/x8 SLVS-EC
            RJ45 Gigabit Ethernet
            USB-C 2x USB 3.1, DP (Optional), PD (Optional)
            Close-System Debug and Flashing Support on 1 Port
            Camera Connector (16x) CSI-2 Lanes
            M.2 Key M NVMe
            M.2 Key E PCIe x1 + USB 2.0 + UART (for Wi-Fi/LTE) / I2S + DMIC + GPIOs
            HD Audio Header High-Definition Audio
            eSTATp + USB 3.0 Type A SATA Through PCIe x1 Bridge + USB 3.0 (PD + Data for 2.5-inch SATA)
            HDMI Type A/eDP/DP HDMI 2.0, eDP 1.2a, DP 1.4
            uSD/UFS Card Socket SD/UFS

            Click for more information on Education or Inception discounts.

            Jetson AGX Xavier Module
            • Overview
            • SPECS

            Jetson AGX Xavier 8GB is a lower-power lower-price Jetson AGX Xavier offering full hardware and software compatibility with the existing Jetson AGX Xavier. It consumes a maximum of 20W for the full module whilst delivering up to 20 TOPS of AI performance.

            Technical Specifications
            GPU NVIDIA Volta? architecture with 384 NVIDIA CUDA cores and 48 Tensor cores
            5.5 TFLOPS (FP16)
            11.1 TOPS (INT8)
            DL Accelerator 4.1 TFLOPS (FP16)
            8.2 TOPS (INT8)
            CPU 6-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
            Memory 8GB 256-bit LPDDR4x - 1333 MHz - 85.3 GB/s
            Display Three multi-mode DP 1.2a/e DP 1.4/HDMI 2.0 a/b
            Storage 32GB eMMC 5.1
            Vision Accelerator 7-Way VLIW Vision Processor
            Video Encode 2x464 MP/sec
            2x 4K @ 30 (HEVC)
            6x 1080p @ 60 (HEVC)
            14x 1080p @ 30 (HEVC)
            Video Decode 2x690 MP/sec
            2x 4K @ 60 (HEVC)
            4x 4K @ 30 (HEVC)
            12x 1080p @ 60 (HEVC)
            24x 1080p @ 30 (HEVC)
            16x 1080p @ 30 (H.264)
            Camera 16 lanes MIPI CSI-2, 8 lanes SLVS-EC
            D-PHY (40 Gbps), C-PHY(64 Gbps)
            UPHY 3x USB 3.1, 4x USB 2.0
            1 x8 or 1 x4 or 1 x2 or 2 x1 PCIe (Gen3)
            Other UART, SPI, CAN, I2C, I2S, DMIC, GPIOs
            Connectivity Wi-Fi requires external chip
            10/100/1000 RGMII
            Gigabit Ethernet
            Size 100 mm x 87 mm
            Mechanical 699 pin Connector
            Integrated Thermal Transfer Plate
            Jetson AGX Xavier Module
            • Overview
            • SPECS

            The Jetson AGX Xavier module makes AI-powered autonomous machines possible, running in as little as 10W and delivering up to 32 TOPs. As part of the world’s leading AI computing platform, it benefits from NVIDIA’s rich set of AI tools and workflows, enabling developers to quickly train and deploy neural networks.

            Technical Specifications
            GPU NVIDIA Volta? architecture with 512 NVIDIA CUDA cores and 64 Tensor cores
            11 TFLOPS (FP16)
            22 TOPS (INT8)
            DL Accelerator 5 TFLOPS (FP16)
            10 TOPS (INT8)
            CPU 8-Core Carmel ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3
            Memory 16 GB 256-Bit LPDDR4x 2133 MHz - 136.5 GB/s
            Display Three multi-mode DP 1.2a/e DP 1.4/HDMI 2.0 a/b
            Storage 32 GB eMMC 5.1
            Vision Accelerator 7-Way VLIW Vision Processor
            Video Encode 2x1000 MP/sec
            4x 4K @ 60 (HEVC)
            8x 4K @ 30 (HEVC)
            16x 1080p @ 60 (HEVC)
            32x 1080p @ 30 (HEVC)
            Video Decode 2x1500 MP/sec
            2x 8K @ 30 (HEVC)
            6x 4K @ 60 (HEVC)
            12x 4K @ 30 (HEVC)
            26x 1080p @ 60 (HEVC)
            52x 1080p @ 30 (HEVC)
            30x 1080p @ 30 (H.264)
            Camera 16 lanes MIPI CSI-2, 8 lanes SLVS-EC
            D-PHY (40 Gbps), C-PHY(109 Gbps)
            UPHY (8x) PCIe Gen4 / (8x) SLVS-EC
            (3x) USB 3.1
            Single Lane UFS
            Other UART, SPI, CAN, I2C, I2S, DMIC, GPIOs
            Connectivity Wi-Fi requires external chip
            10/100/1000 RGMII
            Gigabit Ethernet
            Size 87 mm x 100 mm
            Mechanical 699 pin Molex Mirror Mex Connector
            Integrated Thermal Transfer Plate

            Jetson TX2

            Jetson TX2 Developer Kit
            • Overview
            • Specs

            The NVIDIA Jetson TX2 Developer Kit gives you a fast, easy way to develop hardware and software for the Jetson TX2 AI supercomputer on a module. It exposes the hardware capabilities and interfaces of the module and is supported by NVIDIA Jetpack—a complete SDK that includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.

            Developer Kit I/Os
            PCIe Gen 2 | 1x4 + 1x1 OR 2x1 + 1x2
            USB USB 3.0 + USB 2.0
            Camera Up to 6 Cameras (2 Lane)
            CSI2 D-PHY 1.2 (2.5 Gbps/Lane)
            Connectivity Connects to 801.11ac WLAN and Bluetooth
            Storage 32 GB eMMC
            Display HDMI
            Others GPIO, I2 C, I2 S, SPI, CAN, UART

            Click for more information on Education or Inception discounts.

            Jetson TX2 Module
            • Overview
            • Specs

            Jetson TX2 is a 7.5-watt supercomputer on a module that brings true AI computing at the edge. It's built around an NVIDIA Pascal?-family GPU and loaded with 8 GB of memory and 59.7 GB/s of memory bandwidth. It features a variety of standard hardware interfaces that make it easy to integrate it into a wide range of products and form factors.

            Technical Specifications
            GPU NVIDIA Pascal? architecture with 256 NVIDIA CUDA cores
            1.3 TFLOPS (FP16)
            CPU Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
            Memory 8 GB 128-bit LPDDR4
            1866MHz - 59.7 GB/s
            Storage 32 GB eMMC 5.1
            Video Encode 500 MP/sec
            1x 4K @ 60 (HEVC)
            3x 4K @ 30 (HEVC)
            4x 1080p @ 60 (HEVC)
            8x 1080p @ 30 (HEVC)
            Video Decode 1000 MP/sec
            2x 4K @ 60 (HEVC)
            4x 4K @ 30 (HEVC)
            7x 1080p @ 60 (HEVC)
            14x 1080p @ 30 (HEVC)
            Connectivity Wi-Fi onboard
            10/100/1000 BASE-T Ethernet
            Camera 12 lanes MIPI CSI-2, D-PHY 1.2 (30 Gbps)
            Display HDMI 2.0 / eDP 1.4 / 2x DSI / 2x DP 1.2
            UPHY Gen 2 | 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
            Size 87 mm x 50 mm
            Mechanical 400-pin connector with Thermal Transfer Plate (TTP)
            Jetson TX2 Module
            • Overview
            • Specs

            Explore new AI capabilities at the edge with the NVIDIA Jetson TX2 4GB. This embedded computer lets you run neural networks with double the compute performance or double the power efficiency of Jetson TX1—at the same price.

            Technical Specifications
            GPU NVIDIA Pascal? architecture with 256 NVIDIA CUDA cores
            1.3 TFLOPS (FP16)
            CPU Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
            Memory 4 GB 128-bit LPDDR4
            1600 MHz - 51.2 GBs
            Storage 16 GB eMMC 5.1
            Video Encode 500 MP/sec
            1x 4K @ 60 (HEVC)
            3x 4K @ 30 (HEVC)
            4x 1080p @ 60 (HEVC)
            8x 1080p @ 30 (HEVC)
            Video Decode 1000 MP/sec
            2x 4K @ 60 (HEVC)
            4x 4K @ 30 (HEVC)
            7x 1080p @ 60 (HEVC)
            14x 1080p @ 30 (HEVC)
            Connectivity Wi-Fi requires external chip
            10/100/1000 BASE-T Ethernet
            Camera 12 lanes MIPI CSI-2, D-PHY 1.2 (30 Gbps)
            Display HDMI 2.0 / eDP 1.4 / 2x DSI / 2x DP 1.2
            UPHY Gen 2 | 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
            Size 87 mm x 50 mm
            Mechanical 400-pin connector with Thermal Transfer Plate (TTP)
            Jetson TX2 Module
            • Overview
            • Specs

            Jetson? TX2i module’s rugged design, small form factor, and reduced power envelope make it ideal for high-performance edge computing devices such as industrial robots, machine vision cameras, and portable medical equipment.

            Technical Specifications
            GPU NVIDIA Pascal? architecture with 256 NVIDIA CUDA cores
            1.3 TFLOPS (FP16)
            CPU Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex
            Memory 8 GB 128-bit LPDDR4
            1600MHz - 51.2 GB/s
            Storage 32 GB eMMC 5.1
            Video Encode 500 MP/sec
            1x 4K @ 60 (HEVC)
            3x 4K @ 30 (HEVC)
            4x 1080p @ 60 (HEVC)
            8x 1080p @ 30 (HEVC)
            Video Decode 1000 MP/sec
            2x 4K @ 60 (HEVC)
            4x 4K @ 30 (HEVC)
            7x 1080p @ 60 (HEVC)
            14x 1080p @ 30 (HEVC)
            Connectivity Wi-Fi requires external chip
            10/100/1000 BASE-T Ethernet
            Camera 12 lanes MIPI CSI-2, D-PHY 1.2 (30 Gbps)
            Display HDMI 2.0 / eDP 1.4 / 2x DSI / 2x DP 1.2
            UPHY Gen 2 | 1x4 + 1x1 OR 2x1 + 1x2, USB 3.0 + USB 2.0
            Size 87 mm x 50 mm
            Mechanical 400-pin connector with Thermal Transfer Plate (TTP)

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