مینی کامپیوتر Jetson NANO تولید شرکت انویدیا با 128 هسته CUDA
مناسب پیاده سازی الگوریتم های یادگیری عمیق-شبکه های عصبی کانوولوشن و هوش مصنوعی در پروژه های بینایی ماشین با استفاده از GPU
مینی کامپیوتر Jetson NANO تولید شرکت انویدیا با 128 هسته CUDA
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.
It’s simpler than ever to get started! Just insert a microSD card with the system image, boot the developer kit, and begin using the same NVIDIA JetPack SDK used across the entire NVIDIA Jetson™ family of products. JetPack is compatible with NVIDIA’s world-leading AI platform for training and deploying AI software, reducing complexity and effort for developers.
TECHNICAL SPECIFICATIONS
GPU |
NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores 0.5 TFLOPs (FP16) |
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CPU | Quad-core ARM® Cortex®-A57 MPCore processor | |
Memory |
4 GB 64-bit LPDDR4 1600MHz - 25.6 GB/s |
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Storage | 16 GB eMMC 5.1 Flash | |
Video Encode |
250 MP/sec 1x 4K @ 30 (HEVC) 2x 1080p @ 60 (HEVC) 4x 1080p @ 30 (HEVC) |
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Video Decode |
500 MP/sec 1x 4K @ 60 (HEVC) 2x 4K @ 30 (HEVC) 4x 1080p @ 60 (HEVC) 8x 1080p @ 30 (HEVC) |
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Camera | 12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 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 | 1x SDIO / 2x SPI / 4x I2C / 2x I2S / GPIOs -> I2C, I2S | |
Size | 69.6 mm x 45 mm | |
Mechanical | 260-pin edge connector |
Jetson Nano delivers 472 GFLOPs for running modern AI algorithms fast. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously, making it ideal for applications like entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.