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Tanna TechBiz Eagle 101 Nano Base Full system
Original price was: ₹59,999.00.₹35,999.00Current price is: ₹35,999.00.
The Tanna TechBiz Eagle 101 Nano Base Full System (DB-TTB-0001) is a compact embedded AI platform powered by the NVIDIA Jetson Nano 4GB module. Featuring a 128-core Maxwell GPU, Quad-core ARM Cortex-A57 CPU, 4GB LPDDR4 memory, 16GB eMMC, Gigabit Ethernet, USB 3.0, HDMI, DisplayPort, and dual MIPI CSI camera interfaces, it is ideal for AI education, robotics, computer vision, industrial automation, and IoT edge applications.
Available on backorder
Tanna TechBiz Eagle 101 Nano Base Full system
Features
- Powered by the NVIDIA Jetson Nano 4GB Module.
- 128-Core Maxwell GPU for AI inference and computer vision.
- Quad-Core ARM Cortex-A57 CPU at 1.43 GHz.
- 4GB LPDDR4 memory with 25.6 GB/s bandwidth.
- 16GB eMMC onboard storage plus microSD card expansion.
- 4 × USB 3.0, Gigabit Ethernet, HDMI, and DisplayPort.
- Dual MIPI CSI-2 camera interfaces for AI vision applications.
- 40-pin GPIO and M.2 Key E expansion for peripherals.
- Compatible with JetPack SDK, CUDA, TensorRT, DeepStream, PyTorch, and TensorFlow.
Specifications
| Product Name | Tanna TechBiz Eagle 101 Nano Base Full System |
| Brand | Tanna TechBiz |
| AI Module | NVIDIA® Jetson Nano™ 4GB Module |
| Product Type | Embedded AI Development System |
| GPU | 128-Core NVIDIA Maxwell GPU |
| CPU | Quad-Core ARM Cortex-A57 @ 1.43 GHz |
| Memory | 4GB 64-bit LPDDR4 |
| Memory Bandwidth | 25.6 GB/s |
| Storage | 16GB eMMC + 1 × microSD Card Slot |
| Ethernet | 1 × Gigabit Ethernet (RJ-45) |
| USB Ports | 4 × USB 3.0 Type-A, 1 × Micro-USB 2.0 (Recovery) |
| Display Outputs | 1 × HDMI 2.0 (4K@60Hz), 1 × DisplayPort |
| Camera Interfaces | 2 × MIPI CSI-2 (2-Lane) |
| Expansion | 40-Pin GPIO Header, 12-Pin Button Header |
| Wireless Expansion | 1 × M.2 Key E (Wi-Fi/Bluetooth Module Support) |
| Video Encode | Up to 4K HEVC Encoding |
| Video Decode | Up to 4K HEVC Decoding |
| Input Power | DC 5V / 4A Recommended |
| Operating Temperature | 0°C to 65°C |
| Dimensions | 100 × 80 × 40 mm |
| Operating System | NVIDIA JetPack SDK (Ubuntu Linux) |
| AI Frameworks | CUDA, TensorRT, cuDNN, DeepStream, OpenCV, PyTorch, TensorFlow |
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