NANO-100 Creative Edge Computer

SKU			NANO-100
Product Image
Processor			Intel® Celeron® J1900/ N2840 Processor		Intel®CoreTM 4th/5th Gen I3/I5 /I7 Processor		Intel® Celeron® J4125 Processor
Memory			DDR3L 4G/8G				DDR4L 4G/8G/16G
Storage			1 *MSATA, 1 *SATA
Net work			2 *Realtek RTL8111 Gigabit Ethernet
COM			2 *RS232 (COM1-2 support RS485)
USB			6*USB
Display			1 *HDMI, 1 *VGA
Other interfaces			1 * input x4 & output x4 GPIO, 1 *AUDIO (2in1)
Expand slot			1 *MINI-PCIE (support WIFI/4G module)
Operating system			Windows/Linux
Power Input			DC12V
Size included rack (mm)			136x127x40		178.4x127x60		136x127x40
Individual Gross Weight (KG)			1.00
Mounting Options			Wall-mounted / Desktop
Operating Temperature			-20 ~ +60℃
Storage Temperature			-20 ~ +70℃
Storage Humidity  *Non-condensing			5 ~ 95%
Packaging Information			1 *Master, 1 *Adapter, 1* Power Supply Cable

Edge computing offers several benefits, including reduced latency, improved bandwidth, enhanced privacy and security, and reduced reliance on centralized cloud services. By processing data closer to end user, edge computing enables faster decision-making and more efficient use of network resources.

Use Cases

Expansion Options

The NANO series offers flexible configurations to meet your specific needs. Choose the version that suits you best:

IO-only version:

Compact at only 3 inches tall, perfect for customers who require IO functionality without expansion slots.

2-slot version: Supports either one dual-slot PCIex16 card or two PCIex4 cards. Ideal for those with moderate expansion needs.

4-slot version: Designed for customers with extensive add-in card requirements. Can accommodate one dual-slot x16 card and two x4 cards, or other configurations upon request.

Expansion capabilities

The NANO supports add-in cards up to 7 inches (180mm) long and 5 inches (130mm) wide. The expansion area is vented and offers optional fan mounts for additional cooling. The PCIe-x16 slot can handle up to 75W power draw, enabling the use of Nvidia GPUs like the GTX 1650 or the RTX A2000 in this rugged, small form factor enclosure.

What is Edge Computing?

At its core, edge computing represents a departure from the traditional centralized model of data processing. In contrast to the dependence on a centralized cloud-based system, this approach underscores localized computation and storage near the data source. The primary goals are to reduce latency, optimize bandwidth, and enhance security and privacy.

Key Characteristics of Edge Computing

● Proximity: 

The hallmark of edge computing is its proximity to the data source, minimizing the physical distance data must traverse. This localization ensures a swift and efficient processing cycle.

● Low Latency: 

Immediate processing at the edge translates to low latency, a critical factor for applications demanding real-time responsiveness, such as autonomous vehicles and smart cities.

● Decentralized Architecture: 

Unlike the centralized model, edge computing adopts a decentralized architecture. This means computing capabilities are distributed across various nodes rather than relying on a singular processing hub.

Benefits of Edge Computing

● Reduced Latency: 

Edge computing's ability to process data at the source minimizes the delay between data generation and processing. This is indispensable for applications requiring immediate responses, like autonomous vehicles navigating complex environments.

● Bandwidth Optimization: 

By processing data locally, edge computing eases the strain on network bandwidth. This optimization proves especially valuable for applications dealing with substantial data volumes, ensuring efficient data flow.

● Enhanced Security and Privacy: 

Localizing data processing enhances security by keeping sensitive information close to its source. This minimizes the risk of data breaches and provides a robust foundation for safeguarding critical information.