CHATGPT HACKS AND TRICKS

Waveshare Jetson TX2 NX Development Kit Deep Learning and Edge Computing


Price: $436.99
(as of Nov 26, 2024 12:56:48 UTC – Details)


Product Description

Jetson TX2 NX Development KitJetson TX2 NX Development Kit

Based On Jetson TX2 NX Module

Jetson TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It provides 2.5X the performance of Jetson Nano, integrating Pascal architecture with 256 CUDA cores and the AI performance reaches up to 1.33 TFLOPs. This kit includes a TX2 NX Module with onboard 16GB eMMC, does not support Micro SD card.

Comes With Extra Free AccessoriesComes With Extra Free Accessories

High-Quality Carrier Board ForHigh-Quality Carrier Board For

Dedicated Cooling Fan For PowerfulDedicated Cooling Fan For Powerful

Dedicated Cooling Fan For Powerful Heat Dissipation

Adopts classic cooling fan appearance, aluminum alloy enclosure, speed up to 5500RPM. Powerful heat dissipation, no worry about the drop in AI performance due to heat dissipation problems.

High-Quality Carrier Board ForHigh-Quality Carrier Board For

Compact, Powerful Performance At The Edge

The Jetson TX2 series modules deliver exceptional speed and power efficiency for embedded AI computing devices, delivering 1.33 TFLOPS of AI performance. Equipped with Pascal GPUs, up to 4 GB memory, 51.2 GB/s memory bandwidth, and a variety of standard hardware interfaces.

With Cloud-Native SupportWith Cloud-Native Support

With Cloud-Native Support

Jetson TX2 NX modules cloud-native support lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from NGC and the TAO Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates.

AI Computing Neural Networks SDKAI Computing Neural Networks SDK

AI Computing Neural Networks SDK

Jetson Development Pack (JetPack) Is An On-Demand All-In-One Package That Bundles And Installs All Development Software Tools For The Jetson Embedded Platform.

Dedicated Cooling Fan For PowerfulDedicated Cooling Fan For Powerful

High-Quality Carrier Board ForHigh-Quality Carrier Board For

With Cloud-Native SupportWith Cloud-Native Support

AI Computing Neural Networks SDKAI Computing Neural Networks SDK

Waveshare Jetson SeriesWaveshare Jetson Series

Waveshare Jetson SeriesWaveshare Jetson Series

Jetson TX2 NX Module Specification

AI PERFORMANCE 1.33 TFLOPS GPU Pascal Architecture with 256 CUDA cores CPU Dual-core Denver 2 64-bit CPU and Quad-core Arm Cortex-A57 MPCore processor complex MEMORY 4 GB 128 bit LPDDR4 51.2 GB/s STORAGE 16 GB eMMC 5.1 POWER 7.5 W | 15 W PCIE 1×1 + 1×2 PCIe Gen2, total 30 GT/s CSI Up to 5 cameras (up to 12 via virtual channels) 12-Ch MIPI CSI-2 (3×4 or 5×2) D-PHY 1.2 (up to 30 Gbps) VIDEO ENCODE 1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265) 1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264) VIDEO DECODE 2x 4K60 | 4x 4p30 | 7x 1080p60 | 14x 1080p30 (H.265 and H.264) DISPLAY 2 Multimode DP 1.2/eDP 1.4/HDMI 2.0 1 x 2 DSI (1.5Gbps/lane) NETWORKING 10/100/1000 BASE-T Ethernet DIMENSIONS 69.6 mm x 45 mm 260-pin SO-DIMM connector

This kit includes a TX2 NX Module with onboard 16GB eMMC, does not support Micro Memory card.
Adopts classic cooling fan appearance, aluminum alloy enclosure, speed up to 5500RPM. Powerful heat dissipation, no worry about the drop in AI performance due to heat dissipation problems.
High-quality carrier board to match the strong performance of the TX2 NX Module. Waveshare is widely praised for the board durability and manufacturing quality. We optimize each part of the board with good workmanship and materials.
Jetson TX2 NX modules cloud-native support lets developers build and deploy high-quality, software-defined features on embedded and edge devices.
Pre-trained AI models from NGC and the TAO Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates.

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