Many people have heard of it AI Large Model, Artificial Intelligence, But yes AI The concept of carrier is relatively unfamiliar. Simply put, AI The carrier is the carrier AI program, Enable artificial intelligence to operate, The hardware or software environment that receives instructions and outputs results. No carrier, AI Algorithms and models are just a bunch of code data, Unable to interact with people, Can't even complete the task. Just like the human brain, If there is no body as a carrier, The brain cannot perceive the outside world, perform action.
 
AI Carriers are mainly divided into two categories: Software carrier and hardware carrier, Collaboration between the two, Ability to make AI play a role.
 
Software carrier is the most common type, Essentially, it is a program environment that runs on a server or computer. The web version we use on a daily basis AI dialogue tool, computer client, Mobile phone APP, All belong to software carriers. It itself does not have computing power, Just an interactive entrance, Translate the text we entered into English, The image command is passed to the backend AI model, Show the results returned by the model again. The advantage of software carriers is low threshold, Ordinary users can directly use it by opening a browser or mobile phone, Don't worry about the underlying computing power. But the software carrier must rely on server hardware, Once the server's computing power is insufficient, Network interruption, AI The service will lag or even become unusable.
 
Hardware carrier, That is to say, carrying AI Physical devices for computation. cloud server, dedicated graphics card, Local computer, Edge computing box, Intelligent terminals are all hardware carriers. Cloud servers are currently the vast majority of online servers AI The main carrier of services, powerful CPU and GPU Cluster parallel computing, Support a large number of users to call simultaneously AI model. The local computer is also AI carrier, Paired with high-performance graphics card, You can just AI Deploying the large model locally, Can run without the need for a network, The data will not be uploaded to the external network, Better privacy. There are also some small edge carriers, For example, smart cameras, Industrial Controller, Built in lightweight design AI model, Real time recognition of images locally on the device, No need to upload to the cloud, Faster response speed.
 
different AI carrier, The applicable scenarios vary greatly. Cloud based carriers have powerful computing power, Suitable for handling large model dialogues, Long article generation, High consumption tasks such as creating high-definition images, It is also the form that the public is most exposed to. The disadvantage is that it relies on the network, There may be delays during peak periods when multiple people visit simultaneously. Local hardware carrier, The advantage is offline availability, Stable response, Data is saved on local devices, Suitable for internal confidentiality scenarios within enterprises. The weakness is the high hardware cost, The upper limit of device performance determines the size of the model, It is difficult for ordinary low-end machines to operate large ones AI model.
 
Many people are easily confused AI Model and AI carrier. AI The model is trained on massive amounts of data "Thinking Logic" , Equivalent to the brain; AI The carrier is the environment in which this brain operates, Equivalent to the body. the same AI model, Can be deployed on different carriers. For example, The same big model, Can be deployed on cloud servers, Through the webpage APP For public use; It can also be deployed on local high-performance computers, Independent calling within the enterprise intranet. The carrier has changed, The core capability of the model itself remains unchanged, But the response speed, Cost of use, The level of data security will undergo significant changes.
 
With the continuous popularization of artificial intelligence, AI The carrier is also constantly developing towards lightweighting. Past operation AI We need a large server room, Nowadays, ordinary home computers, Small industrial control box, Lightweight deployment is also possible AI model. Enterprises are landing AI During the project, Need to choose a carrier based on one's own needs: Targeting the public and providing external services, Prioritize selecting cloud server carriers; Involving sensitive internal information, Prioritize local hardware carriers.
 
In a word, AI The carrier is the foundation for the implementation of artificial intelligence. Whether it's a webpage or not AI, Local AI program, Or various smart devices, They all rely on the corresponding carrier. understand AI Principle of carrier, I can understand AI The underlying logic of operation, When selecting and using, Distinguish the advantages and disadvantages of cloud and local solutions, Better match business needs.