Building a sustainable future with Edge computing technology
Edge computing: The game-changing technology for a greener future
Edge computing is a technology that offers numerous benefits, including faster data processing, lower latency, and improved security. However, it is increasingly being recognized as a solution to help organizations reduce their environmental impact.
One of the key environmental benefits of Edge computing is its ability to reduce energy consumption.
By processing data closer to the source, Edge devices can significantly reduce the energy required for data transmission. This also reduces the organization's or individual's carbon footprint using the technology.
Another important benefit of Edge computing is its ability to enable sustainable business models.
By reducing the need for large data centers and enabling distributed computing, Edge solutions can help organizations reduce reliance on traditional IT infrastructures (which are associated with high energy consumption and carbon emissions).
Importantly, Edge computing also plays a crucial role in enabling the growth of renewable energy sources such as solar and wind power.
By providing exact, real-time data on energy production and consumption, Edge computing can help optimize renewable energy systems and improve their efficiency.
Overall, the environmental benefits of Edge computing are significant and should be a key consideration for organizations looking to adopt new, greener technologies.
By reducing energy consumption, enabling more sustainable business models, and supporting the growth of renewable energy, Edge computing plays a vital role in building a more sustainable future.
Edge computing’s potential to reduce the environmental impact of processing, analyzing, and storing data (by performing these functions closer to where the data is generated) is immense. In essence, it has the power to contribute to a greener and more sustainable future.
To learn more about the exciting prospects for Edge computing and sustainability, check out the resources below.
Micro data centers bring big sustainability benefits
Micro data centers for Edge computing promote sustainability by being smaller, more efficient, and closer to the data source, reducing the need for long-distance communication data transport between the client and the cloud.
The article below discusses how companies like Zella DC have developed renewables-ready, low-power micro data centers for fast, efficient, decentralized data processing.
Edge Computing and Sustainability: How Micro Data Centres are Leading the Way to a Greener Future
Going green with Edge computing
This article explores how Edge computing can promote environmental sustainability by reducing energy consumption, optimizing resource usage, and integrating renewable energy sources.
It covers various use cases in industries such as smart homes, healthcare, energy management, and more, emphasizing how Edge computing can help these industries reduce their environmental impact through sustainable practices.
How Edge Computing is Driving Sustainability
Data centers on thin ice
The following article argues that data centers (which underpin the modern internet and cloud computing) are not sustainable and need to be made more environmentally friendly.
The carbon emissions produced by data centers are estimated to be equivalent to those of long-haul flights, yet they have largely escaped criticism for their environmental impact.
While Edge computing is an excellent solution, this article proposes other ways to make data centers more energy efficient, such as setting them up in countries with cold climates or using space-based cloud services.
It’s Time to Give Data Centres a Sustainability Check
Some extra resources
Empowering embedded AI
To simplify Edge AI development, Edge Impulse released a Python SDK that supports Bring Your Own Model (BYOM) and machine learning benchmarking on embedded devices.
The SDK shows how a deep learning model performs on a wide range of embedded processors and can also profile models for inference on embedded hardware.
Python SDK Simplifies Edge AI Development
New vision processors, new possibilities
The following article covers how Texas Instruments (TI) has launched a new family of vision processors that support up to 12 cameras, enabling designers to add vision and AI processing to various applications.
The new processors provide scalable Edge AI and deliver improved computer vision processing capabilities with greater energy efficiency and a lower cost.
TI Rolls out Edge AI Vision Processors
Lenovo tackles Edge deployment challenges
Lenovo's new software solutions automate and orchestrate Edge deployment.
The new software enables a secure and automated setup, allowing customers to complete global Edge deployments quickly with one-touch provisioning from a single device.
Device Automation at Scale in the Edge
Xailient’s newest article
Check out our latest article, How Edge Computing is Transforming Enterprises.
This piece delves into the exciting world of Edge computing and explores how this new technology is revolutionizing how enterprises process and store data.
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