AIGC is currently a very hot technical field, which is widely used in various industries and fields, but at the same time, AIGC is also facing many pain points, so how to solve these pain points?In the cloud era, how to empower the AIGC industry through cloud computers, let's take a look at it in the article.
AIGC refers to the use of artificial intelligence technology to generate content, including text, images, audio, ** and other forms. AIGC has a wide range of application scenarios and can be applied to literary creation, artistic creation, virtual reality technology and other fields.
In terms of literary creation, AIGC can generate new texts such as articles, news, and poems through the Xi of a large number of texts. In terms of artistic creation, AIGC can generate new images, artworks, landscapes, etc. through the Xi of a large number of images. In terms of virtual reality technology, AIGC can generate new virtual reality content, such as virtual scenes, virtual characters, etc.
In addition, AIGC can also be applied in medical, scientific, security, and other fields. For example, in the medical field, AIGC can generate virtual patient data of different ages, genders, conditions, etc., so as to help medical researchers better evaluate the effect and design a plan.
Costly:The R&D and application of AIGC technology requires a large amount of computing and storage resources, including high-performance CPUs, large-capacity memory, and high-speed solid-state drives. The demand for these resources has led to the high cost of AIGC technology, which limits its widespread application.
Insufficient technical maturity:At present, AIGC technology is still in the early stage of development, and the key technologies, core capabilities of enterprises, and relevant laws and regulations have not yet been perfected. This leads to some technical bottlenecks and defects in the application of AIGC technology, which requires further technological breakthroughs and improvements.
Data Privacy and Security Issues:In AIGC applications, a large amount of data input and model training is required, which involves data privacy and security issues. How to ensure the security and privacy of data and prevent data leakage and abuse is one of the problems that the AIGC industry needs to solve.
It is difficult to commercialize:Although AIGC technology has a wide range of application prospects, there are still some pain points in commercialization. For example, the application scenarios of AIGC technology need to be combined with specific industries, and customized development and application need to be carried out according to the needs of different industries. In addition, the commercial application of AIGC technology also needs to consider issues such as cost, user experience, laws and regulations, etc.
Lack of standardization and regularization:At present, there is a lack of unified standards and specifications in the AIGC industry, which leads to certain difficulties in technical exchange and cooperation between different vendors and institutions. At the same time, the lack of standardized evaluation systems and indicators also makes it difficult to evaluate and compare AIGC technologies.
In AIGC applications, a large amount of computing and storage resources are required, such as high-performance CPUs, large-capacity memory, and high-speed solid-state drives. These resource requirements can be met by Cloud PCs, which can provide highly available and autoscalable computing and storage resources to meet the requirements of AIGC applications.
At the same time, cloud PCs can also provide better data security and privacy protection, because data is stored in the cloud, which can prevent data leakage and loss. In addition, Cloud PC can also provide better scalability and flexibility, and resources can be scaled up or down at any time according to the needs of AIGC applications. Therefore, AIGC has a large demand for cloud computers, which can provide better computing and storage resource support for AIGC applications and promote the development and application of AIGC technology.
Zanqi Cloud WorkstationIt is a SaaS product jointly created by Zanqi Technology and HUAWEI CLOUD, based on public cloud, all models are equipped with NVIDIA professional-grade graphics cards, with up to 1534 The Tensor performance parameter of TFLOPS has higher support for the computing performance and efficiency of deep learning Xi, and is more capable of handling AI tasks.
When the user completes the task,Zanqi Cloud WorkstationThe file data will be stored in Zanqi Super Cloud Disk, and the partners and colleagues in the production chain of the user will use the cloud studio under the same enterprise account to jointly develop the project. Designers can also trust the security performance of Zanqi Super Cloud Disk, Zanqi Super Cloud Disk can make the design data not out of Zanqi Super Cloud Disk, designers do not have to worry about the problem of capacity, Zanqi Super Cloud Disk has a PB-level capacity, Zanqi Cloud Workstation is powerful, is an excellent assistant for designers. In addition, Zanqi Super Cloud Disk can even support 100+ designs for simultaneous use, multi-track operation of multiple GB files, 40GB throughput, and millions of IOPS.
At the same time,Zanqi Cloud Workstation（www.zanqicloud.It can also integrate and open up the whole process of designers' front-end ecological applications and design business, and fully use cloud computing resources to apply AI (artificial intelligence) application scenarios. High-performance computing machines can be used on demand, with flexible leasing and strong stability. Based on the domain-based security policy, it can also protect against virus attacks and provide an automatic multi-copy reliability mechanism.
Note: The first time you use the mobile phone number to enjoy the discount, the official website address of Zanqiyun workstation is zanqicloudcom Find**Customer Service has *** Enterprise customers have a lot of discounts