Jetson TX2 NX Development Kit, Deep Learning And Edge Computing
Delivers The Next Step In AI Performance For Embedded & Edge Computing
NVIDIA 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 NVIDIA Pascal architecture with 256 NVIDIA 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 Accessories
Heat Dissipation
Adopts NVIDIA 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.
Better Performance
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.
Waveshare Jetson Series
Product Comparison
PRODUCT | NANO DEVELOPER KIT | TX2 NX DEVELOPER KIT | XAVIER NX DEVELOPER KIT | ||
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VERSION | NVIDIA Official B01 Kit | Waveshare | Waveshare | NVIDIA Official Kit | Waveshare |
AI PERFORMANCE | 0.5 TFLOPS (FP16) | 1.33 TFLOPS | 21 TOPS | ||
GPU | NVIDIA Maxwell, 128 NVIDIA CUDA Core | NVIDIA Pascal architecture with 256 NVIDIA CUDA cores | 384-core NVIDIA Volta GPU with 48 Tensor Cores | ||
CPU | 4-Core ARM Cortex-A57 MPCore CPU | Dual-core NVIDIA Denver 2 64-bit CPU and Quad-core Arm Cortex-A57 MPCore processor complex | 6-core NVIDIA Carmel ARM v8.2 64-bit CPU 6MB L2 + 4MB L3 |
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MEMORY | 4 GB 64-bit LPDDR4 1600Mhz 25.6GB/s |
4 GB 128 bit LPDDR4 51.2 GB/s |
8 / 16 GB 128-bit LPDDR4x 59.7GB/s |
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STORAGE | Micro SD card (should be purchase separately) |
16 GB eMMC 5.1 |
16 GB eMMC 5.1 | Micro SD card (should be purchase separately) |
16 GB eMMC 5.1 |
FREE STORAGE | None | 32 GB U disk | 128 GB SSD | None | 128 GB SSD |
POWER | 5W | 10W | 7.5W | 15W | 10W | 15W | 20W | ||
PCIE | M.2 E KEY (PCIe Gen 2 x1) | M.2 E KEY (PCIe Gen 4 x1) M.2 M KEY (PCIe Gen 4 x4) |
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CSI | 2 MIPI CSI-2 DPHY Channel | ||||
VIDEO ENCODE | 4Kp30 4x 1080p30 9x 720p30 (H.264/H.265) |
1x 4K60 3x 4K30 4x 1080p60 8x 1080p30 (H.265) 1x 4K60 3x 4K30 7x 1080p60 14x 1080p30 (H.264) |
2x 4K60 4x 4K30 10x 1080p60 22x 1080p30 (H.265) 2x 4K60 4x 4K30 10x 1080p60 20x 1080p30 (H.264) |
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VIDEO DECODE | 4Kp60 2x 4Kp30 8x 1080p30 18x 720p30 (H.264 / H.265) |
2x 4K60 4x 4p30 7x 1080p60 14x 1080p30 (H.264 / H.265) |
2x 8K30 6x 4K60 12x 4K30 22x 1080p60 44x 1080p30 (H.265) 2x 4K60 6x 4K30 10x 1080p60 22x 1080p30 (H.264) |
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DISPLAY | HDMI 2.0 / DP1.2 | HDMI 2.0 / DP 1.4 | |||
DL ACCELERATOR | - | - | 2x NVDLA Engines | ||
VISION ACCELERATOR | - | - | 2x PVA | ||
NETWORKING | 10/100/1000 BASE-T Ethernet | ||||
DIMENSIONS | 100 x 80 x 29 mm | 103 x 90.5 x 34 mm |
Compact, Powerful Performance At The Edge
The NVIDIA Jetson TX2 series modules deliver exceptional speed and power efficiency for embedded AI computing devices, delivering 1.33 TFLOPS of AI performance. Equipped with NVIDIA Pascal GPUs, up to 4 GB memory, 51.2 GB/s memory bandwidth, and a variety of standard hardware interfaces.
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 NVIDIA 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.
Jetson TX2 NX is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other IoT embedded systems.
Monocular Depth
Image Recognition
Object Recognition
Semantic Segmentation
Pose Estimation
Position Tracking
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 NVIDIA Jetson Embedded Platform.
AI PERFORMANCE | 1.33 TFLOPS |
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GPU | NVIDIA Pascal Architecture with 256 CUDA cores |
CPU | Dual-core NVIDIA 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 | 1x1 + 1x2 PCIe Gen2, total 30 GT/s |
CSI | Up to 5 cameras (up to 12 via virtual channels) 12-Ch MIPI CSI-2 (3x4 or 5x2) 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 |
Outline Dimensions