Single Board Computer with Nvidia GPU
Single board computers (SBCs) have revolutionized the way we approach embedded computing. When combined with the power of Nvidia GPUs, these compact systems can handle complex AI tasks, real-time processing, and high-performance graphics with ease.
SOC: Jetson Orin Nano 6*A78
GPU:
Orin Nano 8GB:
32*Tensor core 1024 cores NVIDIA Ampere architecture GPU 918MHz
Orin Nano 4GB:
16*Tensor core 512 cores NVIDIA Ampere architecture GPU 918MHz
NPU:
Orin Nano 8GB: 40TOPS
Orin Nano 4GB: 20TOPS
VPU: 1080p30fps video encoding, 4K60fps video decoding
DDR: LPDDR4, optional 4GB/8GB
OS: Ubuntu
What is Nvidia GPU Micro-architecture?
To understand the capabilities of a single board computer with Nvidia GPU, it’s essential to delve into the architecture that powers it. Nvidia’s Ampere architecture, for example, brings significant advancements in performance and efficiency.
Key Components of Nvidia Ampere Architecture
CUDA Cores: CUDA (Compute Unified Device Architecture) cores are the backbone of Nvidia GPUs. They handle parallel processing tasks, enabling the GPU to perform complex calculations quickly.
Tensor Cores: Tensor cores are designed for AI and machine learning applications. They accelerate matrix operations, which are fundamental to AI algorithms.
Deep Learning Accelerator (DLA): The DLA enhances AI inference capabilities, making it possible to run sophisticated AI models efficiently on the edge.
Programmable Vision Accelerator (PVA): PVA is used for image processing tasks, such as object detection and image recognition.
Features of the Single Board Computer with Nvidia GPU
The single board computer with Nvidia GPU is packed with features that make it an excellent choice for developers and engineers working on AI and edge computing projects.
High Performance and AI Capabilities
Jetson Orin NX Module: Equipped with the Jetson Orin NX module, the SBC delivers up to 100 TOPS of AI performance. This is ideal for running multiple AI models simultaneously.
High-performance CPU and GPU: With a 6-core ARM Cortex-A78 CPU and an Nvidia Ampere architecture GPU, the SBC can handle demanding computational tasks.
Versatile Connectivity Options
Dual 1000M Ethernet: Ensures stable and high-speed network connections.
Multiple USB Ports: Includes 3 USB 3.0 ports and 1 USB 2.0 port for flexible data transfer and device expansion.
HDMI and MIPI-DSI Outputs: Supports 4K video output, making it suitable for high-resolution displays.
M.2 and mini-PCIe Slots: Provides expansion options for additional storage or connectivity modules, such as NVMe SSDs or 5G modules.
Robust Design for Industrial Applications
Wide Voltage Input: Supports 9-36V input, making it suitable for various industrial applications.
Comprehensive Communication Interfaces: Features UART, RS485, CAN, and GPIO interfaces to connect with a wide range of peripherals and industrial devices.
FAQ of Single Board Computer with Nvidia GPU
What makes the single board computer with Nvidia GPU ideal for AI applications?
The Nvidia GPU’s CUDA and Tensor cores, along with the deep learning and vision accelerators, make it perfect for running complex AI models efficiently.
Can the single board computer with Nvidia GPU handle industrial environments?
Yes, its robust design, wide voltage input, and comprehensive communication interfaces make it suitable for various industrial applications.
How does the SBC support edge computing?
With its high computational power and low latency, the SBC can process data locally, reducing the need for cloud-based processing and ensuring real-time performance.
What types of displays can be connected to the SBC?
The SBC supports 4K video output through HDMI and MIPI-DSI interfaces, making it suitable for high-resolution displays.
Can the SBC be customized for specific applications?
Yes, the SBC’s open system source code and expansion options allow for customization and secondary development to meet specific project requirements.