OneSummary of Information
The introduction of DeepSeek has revolutionized the reliance on hefty investments and high-end computing capabilities, significantly reducing the barriers to capital expenditure, thus enabling a greater number of small to medium enterprises to engage in the development and application of AI technologies.
Cloud computing, as a crucial support facet for developing and running AI applications, is expected to continue reaping benefits.
Major cloud service providers such as Baidu Cloud, Alibaba Cloud, Huawei Cloud, and Tencent Cloud have successively integrated the DeepSeek model, allowing users to deploy it in the cloud for a swift, efficient, and convenient AI development and application experience.
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Overview of Cloud Computing
In today's rapidly advancing digital age, cloud computing service providers play a pivotal roleLeveraging advanced distributed computing technologies, they integrate computing nodes located across various physical sites, breaking the geographical constraints of traditional computing paradigms and enabling data processing to occur concurrently across multiple nodes, thereby significantly enhancing computational efficiencyMeanwhile, by utilizing virtualization resource management technologies, cloud service providers abstract various physical resources such as servers, storage devices, and network bandwidth, transforming them into virtual resources that can be flexibly allocated and managed.
On this foundation, cloud service providers consolidate these integrated and virtualized ICT (Information and Communication Technology) resources to create a vast shared resource pool
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This pool resembles a huge "resource supermarket" stocked with diverse computing, storage, and networking resourcesWhen users have requirements, cloud service providers can dynamically and measurably deliver services to themBy dynamic, we mean adjusting the resources allocated to users according to real-time changes in their business needsFor instance, during e-commerce promotional events, there can be a sudden spike in traffic, and cloud service providers can rapidly allocate more computing and storage resources to ensure platform stability and handle the influx of user requests; after the promotions conclude, the surplus resources can be reclaimed promptly to avoid wasteThe measurable aspect comes from cloud service providers accurately gauging and billing based on the actual resource consumption by users, making it transparent and manageable for users to pay only for what they actually utilize.
In contrast, traditional IT service models have notable limitations
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For instance, under conditions of low overall traffic, many enterprises find themselves with substantial investments in computing and storage devices that often remain idleTo cope with the demands during peak business periods, companies might preemptively purchase numerous servers and storage solutions, which often see utilization rates dipping to below 20% during off-peak timesThis not only results in significant wastage of hardware resources but also inflates operational costs associated with equipment acquisition, maintenance, and energy consumption.
The strength of cloud computing lies in its ability to dynamically allocate and aggregate resourcesEmploying sophisticated resource management systems, it monitors how various users are utilizing their resources in real time, recycling and reallocating idle resources
For instance, when Company A experiences a decline in workload and its computing resources sit idle, the cloud platform can promptly reassign these resources to Company B, which is facing a rise in demandThis interplay of efficient resource flow and utilization is further enhanced by the ability to aggregate the resource requirements of multiple users, thus allowing economies of scale to drive down costsThe storage needs of numerous small enterprises can be pooled into a large storage reservoir, achieving improved overall utilization rates of storage devices and ultimately reducing individual enterprises' storage expensesThe dynamic allocation and aggregation of resources maximally optimize the utilization rates within cloud computing compared to traditional IT service models, providing greater value for both organizations and society at large.
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Models of Cloud Computing Services
Cloud service models can be categorized into three types: SaaS, PaaS, and IaaS.
(1) SaaS (Software as a Service)
A model where software services are offered over the internet, allowing users to access them directly without local deployment on devices or servers.
Features include convenience and cost-effectiveness, ease of deployment, scalability according to needs, and no requirement for investment in software development, procurement, or maintenance.
Common SaaS applications include office software, customer relationship management (CRM) systems, and enterprise resource planning (ERP) systems.
(2) PaaS (Platform as a Service)
This model provides users with a platform for developing, running, and managing applications; encompasses operating systems, database management systems, middleware, and development tools.
(3) IaaS (Infrastructure as a Service)
This model provides computing, storage, and networking resources that users can flexibly lease based on their needs to run operating systems, applications, and more.
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Deployment Models of Cloud Computing
Cloud computing deployment models can be categorized into three types: public cloud, private cloud, and hybrid cloud.
4.1 Public Cloud
In this model, multiple users share computing resources in the public cloud, characterized by low costs, strong scalability, and simple maintenance.
Target users: small and medium-sized enterprises, startups, developers, and individuals.
4.2 Private Cloud
In this setting, enterprises customize cloud computing infrastructure, platform, and software services based on their needs, characterized by customized configurations and high security, mitigating the risks associated with shared resources.
Target users: large enterprises, including those with stringent security and privacy requirements.
4.3 Hybrid Cloud
This model combines the public and private cloud, with some services deployed in the public cloud and others in the private cloud, achieving resource sharing and collaborative work.
Target users: enterprises with complex and varied business needs, such as educational institutions, hospitals, and government agencies.
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