Table of Contents
1. The "highlight moment" of computing power
2. The key lies in the computing power network
3. The three forces belong to the origin of computing power
Home Technology peripherals AI Three forces overlap and changes in computing power productivity are taking place

Three forces overlap and changes in computing power productivity are taking place

Apr 11, 2023 pm 10:55 PM
AI cyber security digital economy

Since the birth of computing power, people have placed high hopes on it. Whether it was AlphaGo, the initial application in the field of artificial intelligence, or the popular computing network today, computing power has obviously become the driving force behind the digital economy. "important engine" of development.

Three forces overlap and changes in computing power productivity are taking place

In a sense, computing power is now in the transition period from points and lines to networks. Computing power is the core productivity in the digital economy era. Just like steam engines, electricity, etc. in previous industrial revolutions, the great development of computing power will transform productivity and production relations, and this is based on a ubiquitous computing power network.

Around the computing power network, the market has mainly formed three forces: computing power service providers, operators and Internet manufacturers. Different resource endowments determine the entry ideas of different types of manufacturers, which in turn creates Given the different industry driving forces, who will decide the direction of the computing power service network?

1. The "highlight moment" of computing power

Computing power is rapidly developing into emerging digital industries such as big data, cloud computing, blockchain, artificial intelligence, and network security. An important support for development is closely related to the development of digital core industries such as the Internet industry, electronic information manufacturing industry, and digital technology service industry.

From 1997 when the IBM supercomputer Deep Blue defeated chess master Kasparov, to April 2019 when the AI ​​e-sports team OpenAI Five competed with a human team in "dota", 2:0 Completely defeated the world champion OG team. The victory of AI also marks the "highlight" of computing power.

Thanks to the efforts of scientific research staff, AI has been continuously endowed with stronger computing power. It can process large amounts of data through computing power several times stronger than that of humans, and has become the first in electronic technology. Take OpenAI Five, which defeated the world champion in competitive games, as an example. At that time, OpenAI Five's daily training was equivalent to 250 years of simulation experience, and its training time and computing power were estimated to far exceed that of ordinary AI.

With the popularity of ChatGPT, artificial intelligence content automatic generation technology (AIGC) based on large models, big data, and high computing power has been promoted as a hot search, thus opening up the market. The imagination space of computing power requirements.

Data shows that the total computing power consumption of ChatGPT is about 3640PF-days (that is, if it is calculated one quadrillion times per second, it takes 3640 days to calculate), and it requires 7~8 investment scales A data center with 3 billion and 500P computing power can support operation.

Three forces overlap and changes in computing power productivity are taking place

In fact, in recent years, computing power technology has gradually penetrated into all aspects of life, and various integrated applications have emerged.

The construction of computing power infrastructure is an important "base" for releasing data advantages and promoting the innovative development of the digital economy. It has become a hot area for promoting the development of digital economies in various places and playing a role in stimulating investment.

2. The key lies in the computing power network

The computing power network uses new network technology to connect distributed computing power nodes such as clouds, edges, and terminals, dynamically and in real time Perceive the status of computing resources and conduct overall allocation and scheduling according to business needs.

In the future, obtaining computing power will be as convenient and cheap as obtaining water and electricity. The computing power network will become the iconic infrastructure of this era of digital economy and intelligence.

At the beginning of 2022, the National Development and Reform Commission, the Central Cyberspace Administration of China, the Ministry of Industry and Information Technology, and the National Energy Administration jointly issued a notice agreeing to establish the construction projects in the Beijing-Tianjin-Hebei region, the Yangtze River Delta, and the Guangdong-Hong Kong-Macao Greater Bay Area. Eight places, including Chengdu, Chongqing, Inner Mongolia, Guizhou, Gansu, and Ningxia, have launched the construction of national computing hub nodes, and have planned 10 national data center clusters.

At this point, the overall layout design of the national integrated big data center system has been completed, and the "Eastern Data and Western Counting" project has been officially launched.

Three forces overlap and changes in computing power productivity are taking place

""East and West" for the first time has upgraded computing power resources to the level of basic resources such as water, electricity, and gas. From the Gaojia strategy Plan computing power standards from a high-level perspective and build an integrated computing power system.

The “Counting in the East and Counting in the West” project has just started. Different opinions are colliding with each other on how to build a computing power network.

The core of the power grid is electricity, and the core of the computing network should also be computing power. Taking the analogy of the three major projects of "West-to-East Electricity Transmission", "South-to-North Water Diversion" and "West-to-East Gas Transmission", users The production resources used are electricity, water and natural gas. We build bridges and roads, divert water and open canals, and build high-voltage power towers and natural gas pipelines. The fundamental purpose is to bring the production resources closer to the use scenarios, so that they can be used more widely and become a popular choice in various industries. Direct or indirect infrastructure provides endless power for economic development.

The reason why the importance of the network has increased is precisely because the network does not match the development of computing power. In the early days, the power network also needed to build pathways to thousands of households. Today, in addition to Electricity suppliers, no one cares about the electricity transmission network anymore, but only about the electricity itself.

At the 2022 China Computing Power Development Seminar, He Baohong, director of the Cloud Computing and Big Data Research Institute of the China Academy of Information and Communications Technology, mentioned that by analogy with power grids and water power grids, the computing power industry also needs Build a national computing network with computing as the center and the Internet as the carrier.

Among them, we need to pay attention to the construction of different types of computing power, including general computing power, high-performance computing power and intelligent computing power for the AI ​​field; in addition, we must also fully consider the computing power Resource description, management, scheduling, allocation and other factors to achieve intelligent and flexible effective supply.

In the "Eastern Digital and Western Calculation" project, the core production resource is computing power, and network services rely on computing power to exist.

Therefore, among the three forces in the market, whoever can make computing power evolve towards the infrastructure positioning of electricity, water and natural gas, with a low enough threshold and wide enough application, can represent The future of computing power networks.

3. The three forces belong to the origin of computing power

If we break down the roles of computing power service providers, operators and Internet manufacturers in the industry chain, we can Clearly see the industrial landscape centered on computing power.

The core of computing power service providers focuses on computing power itself, and pays more attention to building diverse and integrated computing power to match the increasingly differentiated demands of customers. It is affected by the external environment and the evolution of the industry itself. Impact, pure intelligent computing and supercomputing cannot meet customer needs. System engineering of deep integration and scheduling of ABC (artificial intelligence, big data and cloud computing) is the next focus.

The advantage of operators lies in the network. A robust network is the best carrier of computing power. Operators are also the best assistant to computing power service providers. At the same time, operators have in-depth regional capabilities. The layout of personnel at the county level can make the scope of computing power radiation wider. When computing power is sufficiently popular and easy to use, it will greatly accelerate the development of computing power service networks.

Take China Mobile's computing power network construction as an example. China Mobile divides it into "three steps". It is currently in the first step of ubiquitous collaboration, and the key focus is resources. Mobile to meet the one-stop activation needs of most users; the second step is to build the "Eastern Digital and Western Computing" computing network brain, the core of which lies in efficient orchestration, scheduling, and integrated management; the last step is to achieve the optimal allocation of resources for the integration of computing and network symbiosis , is to let the data find the most appropriate location, avoid wasting computing power, and maximize its utility.

Most Internet service providers start from their own business scenarios and have excellent technical accumulation in certain types of businesses. On the contrary, in some low-level infrastructure fields, their starting point is also their own business. Instead of taking a global perspective, in national-level projects such as "numbering from the east to the west", Internet manufacturers are more suitable for single-point breakthroughs and demand guidance.

In the long run, computing power service providers have grasped the core of computing power and are closer to the essence of the “Eastern and Western Calculation” project. What enterprise customers ultimately need is computing power. Its industrial supporting facilities need to be explored in commercial development.

"Digital from the east and data from the west" did not change the way of data transmission, but only changed the direction of data transmission. From an industry perspective, we did not see the factors that reversed the trend of operator pipelines. The positioning of power as the main force and network as the supplement will not change. The network needs to change to meet the evolution direction of computing power and deliver computing power to where users need it.

Internet manufacturers’ e-commerce, games, search and other businesses also rely on computing power service providers. The relationship between the two is similar to “production determines consumption”. The underlying technological innovation of computing power service providers comes first. Only the upper-level application innovations of Internet manufacturers can be achieved.

As the second growth curve of Internet manufacturers, cloud computing is essentially another form of computing power service provider. When standing at the height of national infrastructure, computing power requires more bottom-level computing power. Thinking, bottom-level thinking determines the superstructure.

Taken together, computing power service providers will become the core role of the “Eastern Digital and Western Calculation” project. Of course, the “Eastern Digital and Western Calculation” project requires the support of different types of players throughout the industry chain. Only through collaboration can we make breakthroughs and establish an industrial model based on computing power, which will help clarify the industrial structure and industry division of labor as soon as possible and promote the steady development of my country's "digital computing in the east and computing in the west" project.

However, what needs to be noted is that there are still many problems that need to be solved in the "Eastern Numbers and Western Numbers" project, such as the universal supply of computing power.

Computing power is still a "luxury product". Computing power network has become the optimal solution to provide inclusive computing power, and may become the iconic infrastructure of the intelligent era.

Currently, computing power is a luxury product for most companies, scientific research institutes, and individuals, and has not become a basic resource that benefits the general public.

At the same time, through the standardization of computing power and the access of heterogeneous computing power, we can avoid excessive concentration of computing power. The current unified management and scheduling technology of multi-cloud computing power is relatively mature, but how to shield it? Due to the differences in computing power among clouds, the standardization of computing power requires further coordination and advancement.

In addition, the scheduling of computing power is also a difficult problem. On the one hand, computing power scheduling must ensure the convenience of using computing power so that users can conveniently use computing power provided by different regions and companies. computing power resources; on the other hand, computing power scheduling should support the automation and intelligence of computing power resource allocation, ensure the reasonable distribution of computing power needs, increase the utilization rate of computing power resources, and enhance user experience.

By grasping the main contradiction of the computing power service network, other problems will be easily solved. The development of the power industry can be used as a reference.

For example, power grid companies have standardized electricity and simplified the complexity of the process. Computing service providers can also provide standardized and refined management instead of simply upgrading and transforming a certain business. .

The computing power service system is not simply about providing computing power. The focus is on complete service capabilities. Focusing on the construction of the computing power service system and ecological construction, the entire industry chain needs to work together and start from the ecological perspective. , feed back to the ecology, and create a healthy positive cycle computing power service business model.


The above is the detailed content of Three forces overlap and changes in computing power productivity are taking place. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Jun 28, 2024 am 03:51 AM

This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Context-augmented AI coding assistant using Rag and Sem-Rag Context-augmented AI coding assistant using Rag and Sem-Rag Jun 10, 2024 am 11:08 AM

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

Seven Cool GenAI & LLM Technical Interview Questions Seven Cool GenAI & LLM Technical Interview Questions Jun 07, 2024 am 10:06 AM

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Jun 11, 2024 pm 03:57 PM

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework Jul 25, 2024 am 06:42 AM

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time Jul 17, 2024 pm 06:37 PM

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

Five schools of machine learning you don't know about Five schools of machine learning you don't know about Jun 05, 2024 pm 08:51 PM

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. Aug 01, 2024 pm 09:40 PM

According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year

See all articles