reComputer J4012B Edge AI Computer Powered by NVIDIA Jetson Orin NX 16GB 100 TOPS AI
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reComputer J4012B Edge AI Computer Powered by NVIDIA Jetson Orin NX 16GB 100 TOPS AI The reComputer J4012B Edge AI Computer, built on the NVIDIA Jetson Orin NX 16GB module, is engineered for high-performance AI at the edge, delivering up to 100 TOPS of AI compute for robotics, automation, vision systems, and industrial AI deployments. With a powerful 8-core Arm CPU, Ampere GPU with Tensor Cores, and 16GB LPDDR5 memory, this compact edge device is ideal for tasks such as real-time inference, multi-camera processing, deep learning, and edge analytics. The pre-installed JetPack 5.1.3 ensures a ready-to-deploy development environment with optimized CUDA, cuDNN, and TensorRT support. Designed for both prototyping and large-scale production, the reComputer J4012B includes a rich set of interfaces - USB 3.2, HDMI, Gigabit Ethernet, M.2 Key M for SSD, M.2 Key E for Wi-Fi, mini-PCIe for LTE, CAN bus, and 40-pin expansion header. With a durable aluminum case, active cooling, 128GB NVMe SSD, and certifications including CE, FCC, KC, ROHS, REACH, this device is ready for industrial, commercial, and AIoT applications. Guaranteed long-term availability until 2032, the J4012B is a future-proof platform for next-generation edge computing. Features: Powered by NVIDIA Jetson Orin NX 16GB, delivering up to 100 TOPS for advanced AI workloads. Features a 1024-core NVIDIA Ampere GPU with 16 Tensor Cores for accelerated deep learning and computer vision tasks. Built with a high-efficiency 8-core Arm Cortex-A78AE CPU for reliable real-time edge processing. Comes pre-installed with a 128GB NVMe SSD for fast storage and ready-to-deploy performance. Offers rich connectivity: 2× USB 3.2, HDMI, Gigabit Ethernet, M.2 Key M, M.2 Key E, mini-PCIe, CAN, 40-pin GPIO and more. Includes JetPack 5.1.3 preloaded for immediate development in Linux, CUDA, and AI frameworks. Robust aluminum enclosure with active cooling for stable 24/7 operation. Certified with CE, FCC, KC, UKCA, ROHS, REACH for industrial and commercial use. Long-term supply availability until 2032, ideal for scalable deployments. Applications: Smart Lamppost Systems Smart lampposts use integrated sensors to monitor traffic flow, pedestrian movement, and environmental conditions. The collected data helps city authorities optimize traffic control and improve public safety. Many smart lampposts also operate on solar energy, storing power for nighttime illumination and even feeding surplus electricity back into the grid to support sustainable urban infrastructure EV Battery Swapping & Charging Infrastructure Modern EV charging and battery-swapping stations connect directly to smart grid networks, enabling efficient load balancing and optimized charging schedules. This reduces strain on the grid during peak hours and ensures faster turnaround times for EV users. Advanced systems even allow certain electric vehicles to return power to the grid, contributing to a more resilient and flexible energy ecosystem. Smart Recycling & Waste Management Centers Smart recycling hubs utilize sensors embedded in collection bins to track fill levels, minimizing unnecessary collection trips and reducing operational costs. Energy-efficient sorting machines operate during off-peak hours, lowering power consumption. Recycled materials collected through these systems are often further utilized in manufacturing components for EVs, renewable energy setups, and other smart grid technologies, promoting a circular and sustainable industrial cycle. Hardware Overview:
- Edge AI computer powered by NVIDIA Jetson Orin NX 16GB
- Delivers up to 100 TOPS for real-time AI workloads
- Pre-installed JetPack 5.1.3 with Linux support
- Includes 128GB NVMe SSD and aluminum case
- Rich I/O: USB 3.2, HDMI, Ethernet, M.2, mini-PCIe, CAN, GPIO
- Ideal for robotics, automation, and AI vision applications
- Parameter Description
- Product Series reComputer J4012B
- Module Jetson Orin NX 16GB
- AI Performance 100 TOPS
- GPU 1024-core NVIDIA Ampere GPU with 16 Tensor Cores
- GPU Max Frequency 918 MHz
- CPU 8-core Arm Cortex-A78AE v8.2 64-bit CPU
- CPU Max Frequency 2 GHz
- Memory 16GB 128-bit LPDDR5, 102.4 GB/s
- DL Accelerator 2× NVDLA v2 (Max Frequency: 614 MHz)
- Vision Accelerator 1× PVA v2
- Storage Pre-installed 128GB NVMe SSD
- Video Encoder 1× 4K60 (H.265), 3× 4K30 (H.265), 6× 1080p60 (H.265), 12× 1080p30 (H.265)
- Video Decoder 1× 8K30 (H.265), 2× 4K60 (H.265), 4× 4K30 (H.265), 9× 1080p60 (H.265), 18× 1080p30 (H.265)
- Display 1× HDMI 2.1
- CSI 2× CSI (2-lane 15-pin)
- Networking 1× Gigabit Ethernet (10/100/1000M)
- USB 2× USB 3.2 Type-A (10Gbps), 1× USB 2.0 Type-C (Device Mode)
- M.2 Key M 1× M.2 Key M for SSD
- M.2 Key E 1× M.2 Key E for Wi-Fi module*
- mini-PCIe 1× mini-PCIe for LTE module*
- Fan 1× JST 4-pin Fan Connector (5V PWM)
- CAN 1× CAN
- Multifunctional Ports 1× 40-pin expansion header, 1× 12-pin control/UART header
- RTC RTC 2-pin, RTC socket (supports CR1220*)
- Power Supply DC 9–19V via 5525 DC jack
- Operating Temperature -10°C to 60°C
- Dimensions 130mm × 120mm × 58.5mm
- Weight 451.9g