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10 Best Edge Computing Devices For Edge AI Applications in 2024

Top 10 edge computing devices for edge AI applications in 2024. Explore key features, technical specifications, and why these devices lead in performance and innovation.

HomeBlogs10 Best Edge Computing Devices For Edge AI Applications in 2024
10 Best Edge Computing Devices For Edge AI Applications in 2024

In 2024, edge computing is more critical than ever for real-time AI applications. Here’s a look at the top 10 edge computing devices designed to power edge AI applications, each with its unique features and capabilities.

edge device

1. ProX MicroEdge Orin Developer Kit

Introduction

The ProX MicroEdge Orin Developer Kit is a powerful tool for developing AI-powered robots, drones, and cameras. It leverages the NVIDIA Jetson Orin Nano platform, offering a significant boost in AI performance compared to previous models.

Key Features:

  • AI Performance: Up to 40 TOPS
  • Compact Size: 100mm x 79mm x 21mm
  • Expandable with various I/Os: USB 3.2 Gen 2 ports, DP 1.2, M.2 key E, and more
  • Includes Jetson Orin™ Nano 8GB module

Technical Specifications:

  • GPU: NVIDIA Ampere architecture with 2048 CUDA cores and 64 Tensor cores
  • CPU: 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU
  • Memory: 8GB 128-bit LPDDR5
  • Storage: SD Card Slot & external NVMe via M.2 Key M

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2. ProX MicroEdge Orin NX

Introduction

The ProX MicroEdge Orin NX is built for next-gen AI applications, offering high performance for generative AI and advanced robotics with the NVIDIA Jetson Orin NX module.

Key Features:

  • AI Performance: Up to 40 TOPS
  • Wide Operating Temperature Range: -20˚C to 50˚C
  • Multiple I/O Interface Connections: Gigabit LAN, USB 3.1, Serial Port, CAN-FD

Technical Specifications:

  • CPU: NVIDIA® Jetson Orin™ NX
  • Memory: Max. 16GB LPDDR5
  • GPU: NVIDIA Ampere Architecture
  • Power: 7W - 15W

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3. ProX MicroEdge Orin Nano

Introduction

The ProX MicroEdge Orin Nano provides a compact yet powerful edge computing solution with NVIDIA’s latest Orin Nano technology. It’s ideal for applications needing high AI performance.

Key Features

  • AI Performance: Up to 100 TOPS
  • Wide Operating Temperature Range: -20˚C to 50˚C
  • Expandable Storage: Fits up to 1 M.2 NVMe

Technical Specifications:

  • Processor: NVIDIA® Jetson Orin™ Nano
  • Memory: 8GB 128-bit LPDDR5
  • GPU: NVIDIA Ampere architecture
  • Storage: Internal storage options available

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4. ProX MicroEdge AGX Orin

Introduction

The ProX MicroEdge AGX Orin is a high-performance device designed for complex AI applications, featuring NVIDIA’s latest AGX Orin technology. It supports large-scale models and multi-sensor fusion.

Key Features:

  • AI Performance: Up to 275 TOPS
  • High-speed I/O: Includes PCIe Gen4, Gigabit Ethernet, and more
  • Compact Size: Ideal for space-constrained environments

Technical Specifications:

  • GPU: 2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores
  • CPU: 12-core Arm® Cortex®-A78AE v8.2 64-bit CPU
  • Memory: 64GB 256-bit LPDDR5
  • Storage: 2x SATA, 1x SD Card Slot & external NVMe via M.2 Key M

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5. ProX Micro Edge Jetson Nano

Introduction

The ProX Micro Edge Jetson Nano delivers efficient AI computing power in a small form factor. It’s suitable for various applications from intelligent gateways to high-resolution sensors.

Key Features

  • AI Performance: Up to 472 GFLOPs
  • Compact Design: Fits in small spaces
  • Efficient Power Usage: Operates at 5 to 10 watts

Technical Specifications:

  • GPU: 128-core NVIDIA Maxwell™ architecture GPU
  • CPU: Quad-core ARM® Cortex®-A57 MPCore processor
  • Memory: 4GB 64-bit LPDDR4
  • Storage: 16 GB eMMC 5.1

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6. ProX MicroEdge Jetson Nano with 8 PoE

Introduction

The ProX MicroEdge Jetson Nano with 8 PoE enhances the Jetson Nano platform with Power over Ethernet (PoE) capability, making it ideal for remote and power-efficient installations.

Key Features

  • AI Performance: Up to 472 GFLOPs
  • Power Supply: DC 9-36V with ignition pin
  • Expanded Ethernet Connectivity: Includes PoE for power and data transmission

Technical Specifications:

  • GPU: 128-core NVIDIA Maxwell™ architecture GPU
  • CPU: Quad-core ARM® Cortex®-A57 MPCore processor
  • Memory: 4GB 64-bit LPDDR4
  • Storage: 16 GB eMMC 5.1

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7. ProX MicroEdge Jetson Xavier NX

Introduction

The ProX MicroEdge Jetson Xavier NX offers a balance of performance and power efficiency, making it suitable for high-performance embedded and edge systems with demanding AI tasks.

Key Features

AI Performance: Up to 21 TOPS
Vision Acceleration: Up to 2x Programmable Vision Accelerator
Low Power
Modes: Ideal for battery-operated systems

Technical Specifications:

  • GPU: 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
  • CPU: 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU
  • Memory: 8 GB 128-bit LPDDR4x
  • Storage: 16 GB eMMC 5.1

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8. ProX MicroEdge Jetson Xavier NX with 8 PoE

Introduction

The ProX MicroEdge Jetson Xavier NX with 8 PoE is an upgraded version of the Jetson Xavier NX, incorporating PoE for enhanced connectivity and power efficiency.

Key Features:

  • AI Performance: Up to 21 TOPS
  • Vision Acceleration: Up to 2x Programmable Vision Accelerator
  • Network Connectivity: Includes PoE for streamlined power and data

Technical Specifications:

  • GPU: 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
  • CPU: 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU
  • Memory: 8 GB 128-bit LPDDR4x
  • Storage: 16 GB eMMC 5.1

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9. ProX MicroEdge AGX Xavier

Introduction

The ProX MicroEdge AGX Xavier is designed for high-end AI applications requiring substantial computing power and advanced vision processing capabilities.

Key Features

  • AI Performance: Up to 32 TOPS
  • High-speed I/O: Includes PCIe Gen4, USB 3.1, and more
  • Advanced Vision Processing: Equipped with next-generation vision accelerators

Technical Specifications:

  • GPU: 512 NVIDIA CUDA cores and 64 Tensor cores
  • CPU: 8-core NVIDIA Carmel Arm® v8.2 64-bit CPU
  • Memory: 32 GB 256-bit LPDDR4x
  • Storage: 16 GB eMMC 5.1

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10. ProX PC Custom Micro Edge Device

Introduction

The ProX PC Custom Micro Edge Device offers a tailor-made solution for specific edge AI applications. It provides flexibility in design and performance to meet unique needs.

Key Features:

  • Customizable: Tailored to specific requirements
  • Flexible Connectivity: Includes various I/O ports and options
  • Compact Design: Suitable for space-constrained installations

Technical Specifications:

  • To be determined based on specific customization
  • Performance metrics based on chosen configurations

Conclusion

These edge computing devices represent the best in AI technology for 2024, offering a range of features to meet diverse application needs from high-performance computing to efficient power usage. Whether you are working on robotics, computer vision, or AI-powered applications, there is a device here to match your requirements.

Visit: www.proxpc.com

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