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Every developer can develop his or her own AI application with the help of HAI, a high-performance application service launched by Tencent Cloud.
Every developer can develop his or her own AI application with the help of HAI, a high-performance application service launched by Tencent Cloud.
In order to discover the next AIGC phenomenon-level application faster, we need to lower the threshold for AIGC application development
Tencent Cloud announced on December 18 Announced the launch of high-performance application service (Hyper Application Inventor, HAI), which allows users to create personal artificial intelligence applications in as little as 10 minutes without complex configuration
HAI can provide plug-and-play computing capabilities and common environments to help small and medium-sized enterprises, developers and individual users quickly deploy high-performance applications such as language models (LLM), AI painting, and data science. HAI also natively integrates supporting development tools and components, greatly improving application development productivity and lowering the development threshold
AIGC wave brings to the times To create more possibilities, small and medium-sized enterprises and developers hope to develop AI applications simply, quickly and with low threshold, but issues such as computing power selection and environment deployment take up a lot of time and energy from developers; in addition, designers, content creation Individual users such as developers and students do not have complex development capabilities, but they have the need to deploy private models for more customized projects to achieve higher flexibility. SaaS tools such as drawing software and conversational robots cannot fully meet their needs. need.
HAI's plug-and-play capabilities are ideal for meeting the needs of users such as small businesses and developers who are unfamiliar with the underlying hardware. Compared with common cloud servers that require you to choose the CPU memory ratio and GPU card type, HAI provides a more convenient solution. This model is more suitable for large enterprises with a clear division of labor. For small enterprises and developers, choosing a cloud server is often a problem.
##HAI can Matches and recommends GPU computing resources based on application requirements to achieve automatic matching of cloud resources with the best cost performance. Users do not need to choose among many GPU cloud servers. They can also quickly and automatically build a dependent environment through the "one-click deployment" function, allowing developers to easily get started
On the purchase interface, it has the function of automatically matching cloud resources
HAI provides a variety of pre-installed model environments, including StableDiffusion, Popular models such as ChatGLM. Users can also download and deploy the latest open source models on HAI according to their own needs to achieve more personalized creations. At the same time, HAI also provides developers with a friendly graphical interactive view through a "visual interface" and supports a variety of computing power connection methods, such as JupyterLab, WebUI, etc. In this way, it only takes a few minutes to automatically build application environments such as LLM and AI painting.
HAI provides a graphical interactive view to Take stable diffusion as an example
#In order to further improve the ease of use, HAI has also added an "academic acceleration" function, and the line will automatically select the optimal route, greatly improving the accuracy of The resource access and download speeds of some mainstream academic resource platforms
The future development direction of HAI is to focus on the improvement capabilities of the model ecology to match the development stage of the model. And provide the most needed product capabilities when user needs are most urgent. In addition, HAI can also be applied to various scenarios such as scientific computing and visual rendering.
Tencent Cloud has built a full-stack ecosystem to adapt to the development of the AIGC era. . At the infrastructure as a service (IaaS) level, we provide HCC high-performance computing clusters and general-purpose GPU computing capabilities suitable for large-scale model training. At the Platform as a Service (PaaS) level, we provide cloud-native data lake warehouses and vector databases, as well as the TI platform for large-scale training acceleration. At the model level, we have the independently developed Tencent Hunyuan large model and provide customers with one-stop MaaS (model as a service) solutions, as well as industry-specific model solutions. The introduction of HAI further enriches Tencent Cloud's AIGC product portfolio for developers to meet the needs of different users such as large enterprises and developers
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