NVIDIA® Jetson Nano 4GB RAM AI Developer Kit B01-T
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NVIDIA® Jetson Nano 4GB RAM AI Developer Kit B01-T The NVIDIA® Jetson Nano 4GB RAM AI Developer Kit B01-T is a powerful edge AI development board built around the NVIDIA Jetson Nano 4GB module, designed for developers, makers, students, and engineers exploring artificial intelligence. This compact kit delivers GPU-accelerated computing for running neural networks, computer vision models, and real-time data processing, making it an accessible platform for learning and building intelligent systems. With essential interfaces and connectivity options included, it allows users to get started quickly without complicated setup. This developer kit is ideal for projects in robotics, IoT, automation, and smart devices where on-device inference and efficient performance are crucial. Supports tasks like object detection, image classification, face recognition, and audio processing, enabling interactive and responsive applications. Its flexible design works seamlessly with popular AI frameworks and development tools, making it a dependable choice for prototyping, classroom learning, research, and product development in the rapidly growing AI and embedded systems space. Hardware Overview The core module of B01-T is NVIDIA Jetson Nano (4GB), which is only 70 x 45mm, smaller than a credit card. This mass-produced module system (SOM) can provide strong support for the deployment of AI on edge devices in multiple industries such as smart cities, smart factories, agriculture and robotics. Features: Powered by NVIDIA Jetson Nano 4GB module with GPU-accelerated AI performance Supports real-time object detection, image processing, and deep learning models Multiple I/O interfaces for sensors, cameras, displays, and robotics applications Compatible with popular AI frameworks like TensorFlow, PyTorch, and Caffe On-device inferencing for low-latency edge AI, no cloud dependency required Ideal for robotics, IoT, automation, computer vision, and smart embedded projects
- NVIDIA® Jetson Nano 4GB module for edge AI and deep learning
- 128-core Maxwell GPU for high-performance AI processing
- Quad-core ARM Cortex-A57 CPU for efficient multitasking
- Supports 4K video encode/decode and multi-camera CSI input
- Ideal for robotics, computer vision, and IoT AI applications
- Works with TensorFlow, PyTorch, and other popular AI frameworks
- AI Performance 472 GFLOPS
- GPU 128-core NVIDIA Maxwell architecture GPU
- GPU Max Frequency 921 MHz
- CPU Quad-core ARM Cortex-A57 MPCore processor
- CPU Max Frequency 1.43 GHz
- Memory 4GB 64-bit LPDDR4, 25.6 GB/s
- Storage 16GB eMMC 5.1
- Video Encode 1x 4K30 (H.265), 2x 1080p60 (H.264)
- Video Decode 1x 4K60 (H.265), 4x 1080p60 (H.264)
- CSI Camera Up to 4 cameras, 12 lanes MIPI CSI-2, D-PHY 1.1 (up to 18 Gbps)
- PCIe 1x4 (PCIe Gen 2)
- USB 1x USB 3.0 (5 Gbps), 3x USB 2.0
- Networking 1x Gigabit Ethernet
- Display 2x multi-mode DP 1.2/eDP 1.4/HDMI 2.0
- DSI 1x 2-lane DSI (1.5 Gbps/lane)
- Other I/O 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
- Power 5W – 10W
- Mechanical 69.6 mm × 45 mm, 260-pin SO-DIMM connector