What's the Difference: Edge Computing vs Cloud Computing | NVIDIA Blog (2022)

Public cloud computing platforms allow enterprises to supplement their private data centers with global servers that extend their infrastructure to any location and allow them to scale computational resources up and down as needed. These hybrid public-private clouds offer unprecedented flexibility, value and security for enterprise computing applications.

However, AI applications running in real time throughout the world can require significant local processing power, often in remote locations too far from centralized cloud servers. And some workloads need to remain on premises or in a specific location due to low latency or data-residency requirements.

This is why many enterprises deploy their AI applications using edge computing, which refers to processing that happens where data is produced. Instead of cloud processing doing the work in a distant, centralized data reserve, edge computing handles and stores data locally in an edge device. And instead of being dependent on an internet connection, the device can operate as a standalone network node.

Cloud and edge computing have a variety of benefits and use cases, and can work together.

(Video) Edge Computing Vs. Cloud Computing

What Is Cloud Computing?

According to research firm Gartner, “cloud computing is a style of computing in which scalable and elastic-IT-enabled capabilities are delivered as a service using Internet technologies.”

There are many benefits when it comes to cloud computing. According to Harvard Business Review’s “The State of Cloud-Driven Transformation” report, 83 percent of respondents say that the cloud is very or extremely important to their organization’s future strategy and growth.

Cloud computing adoption is only increasing. Here’s why enterprises have implemented cloud infrastructure and will continue to do so:

  • Lower upfront cost – The capital expense of buying hardware, software, IT management and round-the-clock electricity for power and cooling is eliminated. Cloud computing allows organizations to get applications to market quickly, with a low financial barrier to entry.
  • Flexible pricing – Enterprises only pay for computing resources used, allowing for more control over costs and fewer surprises.
  • Limitless compute on demand – Cloud services can react and adapt to changing demands instantly by automatically provisioning and deprovisioning resources. This can lower costs and increase the overall efficiency of organizations.
  • Simplified IT management – Cloud providers provide their customers with access to IT management experts, allowing employees to focus on their business’s core needs.
  • Easy updates – The latest hardware, software and services can be accessed with one click.
  • Reliability – Data backup, disaster recovery and business continuity are easier and less expensive because data can be mirrored at multiple redundant sites on the cloud provider’s network.
  • Save time – Enterprises can lose time configuring private servers and networks. With cloud infrastructure on demand, they can deploy applications in a fraction of the time and get to market sooner.

What Is Edge Computing?

Edge computing is the practice of moving compute power physically closer to where data is generated, usually an Internet of Things device or sensor. Named for the way compute power is brought to the edge of the network or device, edge computing allows for faster data processing, increased bandwidth and ensured data sovereignty.

(Video) Edge Computing vs Cloud Computing (Gartner 2019 Technology Trends)

By processing data at a network’s edge, edge computing reduces the need for large amounts of data to travel among servers, the cloud and devices or edge locations to get processed. This is particularly important for modern applications such as data science and AI.

What Are the Benefits of Edge Computing?

According to Gartner, “Enterprises that have deployed edge use cases in production will grow from about 5 percent in 2019 to about 40 percent in 2024.” Many high compute applications such as deep learning and inference, data processing and analysis, simulation and video streaming have become pillars for modern life. As enterprises increasingly realize that these applications are powered by edge computing, the number of edge use cases in production should increase.

Enterprises are investing in edge technologies to reap the following benefits:

  • Lower latency: Data processing at the edge results in eliminated or reduced data travel. This can accelerate insights for use cases with complex AI models that require low latency, such as fully autonomous vehicles and augmented reality.
  • Reduced cost: Using the local area network for data processing grants organizations higher bandwidth and storage at lower costs compared to cloud computing. Additionally, because processing happens at the edge, less data needs to be sent to the cloud or data center for further processing. This results in a decrease in the amount of data that needs to travel, and in the cost as well.
  • Model accuracy: AI relies on high-accuracy models, especially for edge use cases that require real-time response. When a network’s bandwidth is too low, it is typically alleviated by lowering the size of data fed into a model. This results in reduced image sizes, skipped frames in video and reduced sample rates in audio. When deployed at the edge, data feedback loops can be used to improve AI model accuracy and multiple models can be run simultaneously.
  • Wider reach: Internet access is a must for traditional cloud computing. But edge computing can process data locally, without the need for internet access. This extends the range of computing to previously inaccessible or remote locations.
  • Data sovereignty: When data is processed at the location it is collected, edge computing allows organizations to keep all of their sensitive data and compute inside the local area network and company firewall. This results in reduced exposure to cybersecurity attacks in the cloud, and better compliance with strict and ever-changing data laws.

What Role Does Cloud Computing Play in Edge AI?

Both edge and cloud computing can take advantage of containerized applications. Containers are easy-to-deploy software packages that can run applications on any operating system. The software packages are abstracted from the host operating system so they can be run across any platform or cloud.

(Video) 👩🏻‍💻 Edge Computing...will it replace Cloud Computing...? 👨🏻‍💻

The main difference between cloud and edge containers is the location. Edge containers are located at the edge of a network, closer to the data source, while cloud containers operate in a data center.

Organizations that have already implemented containerized cloud solutions can easily deploy them at the edge.

Often, organizations turn to cloud-native technology to manage their edge AI data centers. This is because edge AI data centers frequently have servers in 10,000 locations where there is no physical security or trained staff. Consequently, edge AI servers must be secure, resilient and easy to manage at scale.

Learn more about the difference between developing AI on premises rather than the cloud.

When to Use Edge Computing vs Cloud Computing?

Edge and cloud computing have distinct features and most organizations will end up using both. Here are some considerations when looking at where to deploy different workloads.

(Video) Live Webinar: Edge vs Cloud Computing

Cloud ComputingEdge Computing
Non-time-sensitive data processingReal-time data processing
Reliable internet connectionRemote locations with limited or no internet connectivity
Dynamic workloadsLarge datasets that are too costly to send to the cloud
Data in cloud storageHighly sensitive data and strict data laws

An example of a situation where edge computing is preferable over cloud computing is medical robotics, where surgeons need access to real-time data. These systems incorporate a great deal of software that could be executed in the cloud, but the smart analytics and robotic controls increasingly found in operating rooms cannot tolerate latency, network reliability issues or bandwidth constraints. In this example, edge computing offers life-or-death benefits to the patient.

Discover more about what to consider when deploying AI at the edge.

The Best of Both Worlds: A Hybrid Cloud Architecture

For many organizations, the convergence of the cloud and edge is necessary. Organizations centralize when they can and distribute when they have to. A hybrid cloud architecture allows enterprises to take advantage of the security and manageability of on-premises systems while also leveraging public cloud resources from a service provider.

A hybrid cloud solution means different things for different organizations. It can mean training in the cloud and deploying at the edge, training in the data center and using cloud management tools at the edge, or training at the edge and using the cloud to centralize models for federated learning. There are limitless opportunities to bring the cloud and edge together.

Learn more about NVIDIA’s accelerated compute platform, which is built to run irrespective of where an application is — in the cloud, at the edge and everywhere in between.

(Video) What is edge computing?

FAQs

What is the difference between edge computing and cloud computing? ›

An edge is a computing location at the edge of a network, along with the hardware and software at those physical locations. Cloud computing is the act of running workloads within clouds, while edge computing is the act of running workloads on edge devices.

What is the difference between cloud computing and edge computing PDF? ›

What is the difference between the edge and the cloud? Edge computing is a subsection of cloud computing. While cloud computing is about hosting applications in a core data centre, edge computing is about hosting applications closer to end users, either in smaller edge data centres or on the customer premises instead.

What is the difference between edge computing and cloud computing Accenture? ›

Cloud and edge computing are distinct but complementary. Centrally, cloud brings data together to create new analytics and applications, which can be distributed on the edge — residing on-site or with the customer. That, in turn, generates more data that feeds back into the cloud to optimize the experience.

What is edge computing answer? ›

Edge computing is an emerging computing paradigm which refers to a range of networks and devices at or near the user. Edge is about processing data closer to where it's being generated, enabling processing at greater speeds and volumes, leading to greater action-led results in real time.

What is the difference between edge computing and cloud computing Brainly? ›

Answer: Edge computing is used to process time-sensitive data, while cloud computing is used to process data that is not time-driven. Besides latency, edge computing is preferred over cloud computing in remote locations, where there is limited or no connectivity to a centralized location.

What describes the relationship between edge computing and cloud computing answer? ›

Cloud and edge computing are distinct but complementary, . Centrally, cloud brings data together to create new analytics and applications, which will be distributed on the edge — residing on-site or with the customer. That, in turn, generates more data that feeds back into the cloud to optimize the experience.

What describes the relationship between edge computing and cloud computing Brainly? ›

What describes the relationship between edge computing and cloud computing? edge computing sits at the center of the network while cloud sits at the periphery. cloud computing is a continuum of which edge is a key component. edge computing will eventually overtake and replace cloud computing.

What are two advantages of edge computing over cloud computing? ›

The main benefits of edge computing over cloud computing are: Better data management. Lower connectivity costs and better security practices. Reliable, uninterrupted connection.

Is edge computing future of cloud computing? ›

Wider Reach. Unlike Cloud Computing, where access to the internet is a must to process data, Edge Computing can process data locally, without having to access the internet, thus increasing the range of computing to remote and inaccessible locations which were otherwise not possible to access.

What is edge computing role in cloud computing? ›

Edge computing optimizes Internet devices and web applications by bringing computing closer to the source of the data. This minimizes the need for long distance communications between client and server, which reduces latency and bandwidth usage.

Is edge computing more secure than cloud computing? ›

Compared to the cloud, edge systems have a few key limitations—edge computing is less secure, flexible, and scalable than cloud computing. However, edge solutions have some advantages, too. For example, latency in remote cloud systems can be really high compared to local edge systems.

Is edge computing safer than cloud computing? ›

However, by restricting the transmission of sensitive data to the cloud, edge computing enhances privacy as data is less likely to be intercepted while in motion. Cloud computing platforms are inherently more secure due to vendors' and organizations' centralized implementation of cutting-edge cybersecurity measures.

What is edge computing explain with example? ›

Edge computing use cases

Streaming music and video platforms, for example, often cache information to lower latency, offering more network flexibility when it comes to user traffic demands. Manufacturers benefit from edge computing by keeping a closer eye on their operations.

What is the main purpose of edge computing? ›

The purpose of edge computing is to bring your applications closer to where the data is created and action must happen. When you do this, you can achieve much faster response times (very low latency from when an event happens until a response occurs).

What is IoT edge computing and what are its main benefits? ›

Edge computing is a local source of processing and storage for the data and computing needs of IoT devices. Here are some of the benefits of using IoT and edge together: Reduced latency of communication between IoT devices and the central IT networks. Faster response times and increased operational efficiency.

Why is it called edge computing? ›

So, what is edge? The word edge in this context means literal geographic distribution. Edge computing is computing that's done at or near the source of the data, instead of relying on the cloud at one of a dozen data centers to do all the work.

What describes the relationship Betweewhat describes the relationship between edge computing and cloud computing? ›

Answer: Edge computing is used to process time-sensitive data, while cloud computing is used to process data that is not time-driven. Besides latency, edge computing is preferred over cloud computing in remote locations, where there is limited or no connectivity to a centralized location.

Which of the following is the difference between edge and cloud based analytics? ›

The main difference between cloud and edge containers is the location. Edge containers are located at the edge of a network, closer to the data source, while cloud containers operate in a data center.

How will the edge computing change organizations relationship with the cloud? ›

Question 174: How will the edge change organizations' relationship with the cloud? Explanation: Bringing data processing to the edge will reduce the data sent to centralized data processing in the cloud.

What is edge computing role in cloud computing? ›

Edge computing optimizes Internet devices and web applications by bringing computing closer to the source of the data. This minimizes the need for long distance communications between client and server, which reduces latency and bandwidth usage.

What are two advantages of edge computing over cloud computing? ›

The main benefits of edge computing over cloud computing are: Better data management. Lower connectivity costs and better security practices. Reliable, uninterrupted connection.

Is edge computing future of cloud computing? ›

Wider Reach. Unlike Cloud Computing, where access to the internet is a must to process data, Edge Computing can process data locally, without having to access the internet, thus increasing the range of computing to remote and inaccessible locations which were otherwise not possible to access.

Is edge computing safer than cloud computing? ›

However, by restricting the transmission of sensitive data to the cloud, edge computing enhances privacy as data is less likely to be intercepted while in motion. Cloud computing platforms are inherently more secure due to vendors' and organizations' centralized implementation of cutting-edge cybersecurity measures.

What is edge computing in simple words? ›

Edge computing is a form of computing that is done on site or near a particular data source, minimizing the need for data to be processed in a remote data center.

What is the main purpose of edge computing? ›

The purpose of edge computing is to bring your applications closer to where the data is created and action must happen. When you do this, you can achieve much faster response times (very low latency from when an event happens until a response occurs).

Why is it called edge computing? ›

So, what is edge? The word edge in this context means literal geographic distribution. Edge computing is computing that's done at or near the source of the data, instead of relying on the cloud at one of a dozen data centers to do all the work.

What are the 5 benefits of edge computing? ›

Benefits of edge computing
  • Improved speed/reduced latency. By its definition and design, edge computing eliminates the need to move data from endpoints to the cloud and back again. ...
  • Improved security and privacy protections. ...
  • Savings/reduced operational costs. ...
  • Reliability and resiliency. ...
  • Scalability.
29 Nov 2021

What are the advantages and disadvantages of edge computing? ›

Advantages of Edge Computing
  • Response Time and Latency. A company's every millisecond is critical to its success. ...
  • High Security and Less Risk. The data stored in the cloud has a high risk of being hacked. ...
  • Lesser Transmission Costs. ...
  • Scalability and Versatility. ...
  • Infrastructure costs. ...
  • Data Loss.
7 Sept 2021

What is edge computing replacing? ›

Some analysts claim that edge computing will replace cloud computing because computing will become decentralized and the need for the centralized cloud will fade.

Which company is the leader in edge computing? ›

Amazon Web Services. As a dominant competitor in the world of cloud computing, AWS edge solutions extend the company's cloud expertise into hybrid cloud (e.g., AWS Outposts), edge networking (AWS Wavelength and AWS Local Zones), and industrial and IoT environments.

How edge computing will change the world? ›

Edge computing has taken autonomous cars pretty far. However, this technology will be far more life-changing when it has the ability to connect to other cars, buildings, and structures. These smart ecosystems will compile the benefits of autonomous driving and turn cities into AI-powered machines. Consider this.

Why edge computing is more secure? ›

Edge computing security (edge security) is security aimed at protecting data that lives or transports through devices out of centralized data centers. Edge security is used to protect users and sensitive data at the farthest reaches or “edge” of a company's network.

What problems does edge computing solve? ›

Edge solution: Edge computing can minimize the network and bandwidth issues associated with moving large amounts of data to or from IoT devices and reduce reliance on the network. Companies look to edge solutions that can process data at the source and provide summary information on what's going on.

Why is edge computing faster? ›

Instead, this data is processed almost immediately by local computing resources, allowing devices and applications on the edge to react to changing circumstances and shifting demand very quickly. In short, edge computing is computing that's done at or near the data source to reduce latency and increase bandwidth.

Videos

1. Retail video series episode 3: Edge computing & multi-cloud
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3. Technology Introduction Series: Edge Computing tutorial
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4. SixSq Classroom - S01E01: What is Edge Computing, and Who Are We?
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5. Accelerating VR Adoption Using 5G Edge Computing - AWS Online Tech Talks
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6. FORGET EVERYTHING YOU KNOW ABOUT EDGE COMPUTING
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