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₹133,663.15 (Including tax)
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5 - 10 | 5% | ₹126,979.98 (Including tax) |
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Jetson Xavier 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 AIoT embedded systems.
Jetson Xavier NX now features cloud-native support that 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 Xavier NX accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2.
ou can build fast AI projects with NVIDIA pre-trained models specially built for various industry examples, and accelerate the process model from the PoC to production. It can be easily used in common computer vision examples to collect statistics and statistics in dense artificial intelligence areas statistics. For example, detecting personnel, detecting and diagnosing vehicles, detecting and identifying license plates at toll gates, parking management, patient movement monitoring in medical and health institutions, etc. Yes, you can use it to monitor the driver’s fatigue driving state like below.
Seeed is glad to partner with Cogniteam, aiming at delivering the easiest ever robot development process, from prototyping to production, including configuration, testing, deployment, and operations management. Try Nimbus with Seeed’s Jetson Platform carrier boards and Jetson Sub kit, attach sensors such as RP Lidar and cameras to build your create your robotic application from scratch. You can also seamlessly connect your existing ROS projects to Nimbus. Based on the open-source Robot Operating System (ROS), Nimbus is truly a ‘plug and play’ solution.
Jetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire NVIDIA software stack. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.
Applications:
1 x Acrylic Cover
1 x Aluminum Frame
1 x Jetson Xavier NX module
1 x Heatsink
1 x Carrier board
1 x 19V/4.74A (MAX 90W) Power Adapter (Power cable not included)
2 x Antennas
Product Name |
Jetson SUB Mini PC-Blue with Jetson Xavier NX module |
---|---|
Module |
Jetson Xavier NX module |
AI Performance |
21 TOPs(INT8) |
OS |
JetPack 4.6 |
CPU |
6-core 64-bit CPU ,NVIDIA Carmel ARMv8.2 |
GPU |
384-core NVIDIA Volta GPU |
Memory |
8 GB 128-bit LPDDR4x 59.7GB/s |
Module Storage |
16 GB eMMC 5.1 |
Power |
10 W ,15 W ,20W |
PCIe |
1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4) ,total 144 GT/s* |
CSI Camera |
Up to 6 cameras (24 via virtual channels) 12 lanes (3×4 or 6×2) MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) |
Video Encoder |
2x 4K60 ,4x 4K30 ,10x 1080p60 ,22x 1080p30 (H.265) 2x 4K60 ,4x 4K30 ,10x 1080p60 ,20x 1080p30 (H.264) |
Video Decoder |
2x 8K30 ,6x 4K60 ,12x 4K30 ,22x 1080p60 ,44x 1080p30 (H.265) 2x 4K60 ,6x 4K30 ,10x 1080p60 ,22x 1080p30 (H.264) |
Networking |
10/100/1000 BASE-T Ethernet |
Display |
2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 |
Dimensions |
130mm x120mm x 50mm |
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Model |
reComputer J4012 |
---|---|
Variant |
Jetson Orin NX 16GB |
AI Performance |
100 TOPS |
GPU |
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores |
GPU Max Frequency |
918 MHz |
CPU |
8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 |
CPU Max Frequency |
2 GHz |
Memory |
16GB 128-bit LPDDR5 102.4GB/s |
DL Accelerator |
2x NVDLA v2 |
DLA Max Frequency |
614 MHz |
Vision Accelerator |
1x PVA v2 |
Video Encoder |
1x 4K60 (H.265) ,3x 4K30 (H.265) 6x 1080p60 (H.265) ,12x 1080p30 (H.265) |
Video Decoder |
1x 8K30 (H.265) ,2x 4K60 (H.265) ,4x 4K30 (H.265) 9x 1080p60 (H.265) ,18x 1080p30 (H.265) |
Display |
1* HDMI 2.1 |
CSI Camera |
2* CSI (2-lane 15pin) |
M.2 Key |
1* M.2 Key M 1* M.2 Key E |
Fan |
1* 4 pin Fan Connector(5V PWM) |
CAN |
1* CAN |
Multifunctional Port |
1* 40-Pin Expansion header ,1* 12-Pin Control and UART header |
RTC |
RTC 2-pin ,RTC socket |
Operating Voltage |
9-19V |
Power Supply |
DC 12V/5A(Barrel Jack 5.5/2.1mm) |
Operating Temperature |
-10℃~60℃ |
Dimension (mm) |
130 x 120 x 58.5 |
Out of stock
Module |
NVIDIA® Jetson Xavier™ NX 16GB |
---|---|
AI Perf |
21 TOPS |
GPU |
NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores |
CPU |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 |
DL Accelerator |
2x NVDLA Engines |
Vision Accelerator |
7-Way VLIW Vision Processor |
Memory |
8 GB 128-bit LPDDR4x @ 51.2GB/s |
Storage |
16 GB eMMC 5.1 |
Co-processor |
Raspberry Pi® RP2040 32-Bit Dual ARM Cortex-M0+ @ 133MHz |
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