What is Edge AI? Explanation of differences with cloud AI for beginners

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Edge AI is a technology to process AI in a location close to the terminal and the field rather than the Cloud.

For example:

スマホ
Automotive
Security Camera
Factory Robot
IoT Sensor

などで使われます。

If Cloud AI is a “mechanism for AI processing in data centers”, Edge AI is a “mechanism for AI processing near users and machines”.

In this article,

Definition of Edge AI
Cloud AI
Merit/Demerit
Important Reasons as an Investment Theme

to beginners.

What is Edge AI?

Edge AI

AI processing data close to the terminal or where data is generated

を指します。

"Edge" means the edge of the user and the site, not the cloud in the center of the network.

具体的には、

Smartphone
Camera
Car
Sensor
Factory
Store terminal

This is the edge.

Edge AI

“Technologies that can not only place AI on the cloud, but also on the field”

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Cloud AI

What is the difference between Edge AI and Cloud AI?

項目	Edge AI	Cloud AI
Processing place	Terminal side and field side	DataCenter
Contact Us	Less	More
Speed	Low latency	Communication delay
Power	Power saving is important	High performance calculation
Application	Im ate judgment, field control	Large-scale learning and large-scale analysis
weakness	Constraints on terminal performance	Depends on the communication environment

Cloud AI is suitable for learning and large-scale reasoning using large amounts of data.

On the other hand, Edge AI is suitable for real-time environments.

Why important?

Edge AI

Since there are more scenes that require real-time processing

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For example, if you send brake decisions to the cloud every time, it will be too late.

Even with a security camera, if you continue to send all the videos to the cloud, the amount of communication becomes larger.

Even in factory equipment, if abnormal detection is delayed, it leads to line stoppage and defective products.

Therefore, edge AI that judges immediately on the field is important.

Edge AI

Smartphone

On your smartphone,

Voice recognition
Camera correction
English
文字起こし
Face recognition

There are more scenes to process such as on-board AI.

By processing everything to the cloud, there are advantages of response speed and privacy.

Automotive

By Car

Detection of surrounding objects
Lane recognition
Pedestrian Detection
Driving Support

Edge AI is used.

It is not always possible to communicate.

Therefore, AI processing that can be judged in the car is important.

Security Camera

Character Detection
Severe behavior detection
Congestion detection
In sion detection

can be processed on-site.

It reduces the amount of communication by sending only necessary information, rather than sending all video to the cloud.

Factory & IoT

Factory

Detection of equipment failure
Image inspection
Robot Control
Temperature and vibration monitoring

is used.

The purpose is to quickly find the prosecution of failure and reduce the stop time.

メリット

High speed

It is easy to get low latency due to low communication waiting.

We have strengths in applications that require instant judgment, such as autonomous driving, robot and factory equipment.

Cost reduction

No need to send all data to the cloud.

Especially because of the large amount of video, audio and sensor data, it is a great advantage that it can be pre-processed on the terminal side.

Privacy Policy

You may be able to process your personal information or sensitive data on the device without sending it to the outside.

Important points for medical, financial, surveillance cameras and factory data

Easy to move even if communication is unstable

Even in an environment that can not be connected to the cloud at all times, if you have AI on the terminal side, you can perform certain processing.

It is a strength in Yamama, factory, car, store, disaster site etc.

デ

High performance chip required

In order to process AI on the device side, you may need not only CPU but also GPU, NPU, and AIクセelerator.

In other words, edge AI is not only software but also semiconductor performance.

Power

It is important to have a battery in small devices such as smartphones, cameras, andセンサー.

Even with high performance, too much power will reduce the utility.

For this reason, power saving performance is very important in Edge AI.

It is difficult to update model

With the cloud, you can update the AI model on the server to reflect many users.

Edge AI requires updates, compatibility, and security management.

Operation after introduction is not easy.

Reasons to Focus on Investment

When Edge AI spreads, the relevant market will spread.

especially important

Semiconductor
Sensor
Camera Module
Contact Us
IoT Devices
Embedded software
Industrial Equipment

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It is a semiconductor dedicated to AI.

In Edge AI, unlike the huge GPU for the cloud,

Small
Low power consumption
Low latency
Low cost
High efficiency

AI chip is required.

This is why not only GPUs, but also NPUs, AIクセelerators, and sensor processing chips are important.

How beginners can easily misunderstand

Not only AI=Cloud

Because of the strong impression of the generated AI, AI tends to move in a huge data center.

In the future,

Cloud AI
Edge AI
Terminal AI
Hy d AI

is combined.

Not all clouds.

Edge AI is not an alternative to cloud AI

Edge AI does not replace Cloud AI completely.

We are good at cloud for large learning and heavy analysis.

On the other hand, we are good at edge AI.

What is important

Which is reasonable to process instead of “cloud or edge”?

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Edge AI is an infrastructure investment

Edge AI is not just an app.

Back

Semiconductor
Contact
Sensor
Terminal design Power control
Security

Yes.

If you look as an investment theme, you need to focus on not only AI software, but also hardware and parts manufacturers.

Edge AI is a technology to process AI on the terminal and on-site
The difference between cloud AI is the processing location and volume
High speed, low latency, reduced traffic volume, and privacy
Issues for terminal performance, power consumption and update management
Semiconductors, Sensors, IoT, and Communications

In the AI field

Where to Process

will be an important theme for the future.

AI processing in the cloud and edge AI that judges immediately on site.

By separating these two, AI-related symbols and semiconductorテーマ are easy to understand.

出典

This article is for educational and informational purposes only, based on public information. It is not a recommendation or solicitation to buy or sell any specific security or financial product. Although care is taken with accuracy, the content and future investment outcomes are not guaranteed. Final investment decisions should be made at your own judgment and responsibility.