Industry Overview

Artificial Intelligence Generated Content (AIGC) is a method that utilizes artificial intelligence technology to automatically generate articles, audio, videos, and other multimedia content. In recent years, with the continuous development and application of artificial intelligence technology, more and more organizations and companies have started to experiment with AIGC to quickly and cost-effectively generate a large volume of content, catering to various industry needs.

Solution Analysis

Gooxi's AI Private Deployment Solution offers an all-in-one private AI deployment solution. This solution integrates Gooxi's in-house servers and AI scheduling platform, is compatible with popular machine learning frameworks, algorithm models, and data set tools. It provides a user-friendly, operationally efficient AI learning platform for users outside the industry, making AI deployment easy, convenient, and highly effective. This solution empowers users across various industries to accelerate AI transformation, drive business innovation, improve operational efficiency, and enhance their competitive edge.

The solution is built on Gooxi's in-house high-performanceGPUservers, enabling efficient and fast model training. It seamlessly integrates popular frameworks such as tensorflow, pytorch, caffe, Mindspore, keras, and others.This allows forthe generation of various content types, including articles, audio, video, and more. It can provide valuable assistance to users in fields such as healthcare, finance, education, and various other domains, enhancing their business capabilities.

1. Full Process

Gooxi's AI Private Deployment Solution offers a comprehensive end-to-end AI solution, providing users with a one-stop solution that covers the entire workflow. It offers a complete foundational platform encompassing algorithms and computing power. The data set management function, combined with industry-specific data, enables business innovation. The unified management and scheduling platform allows for the supervision, scheduling, and monitoring of the entire operational environment and job statuses. This all-in-one system effectively addresses challenges in users' 'AIGC' applications.

2. Dataset Management

The platform offers intelligent and manual annotation features for datasets, assisting users in the initial data cleaning process. It also allows for centralized management of annotated datasets.

3. Model Training

Based on mainstream training frameworks, we provide a variety of algorithm models.Users from different industries can utilize different algorithm models and distributed computing resources to train their own AIGC products. Furthermore, they can perform comprehensive fine-tuning based on LLM, enabling scalability to accommodate users from various industries.

4. Resource Scheduling

To save customer investments and improve the utilization of computing resources, the platform supports fine-grained resource allocation, maximizing the utilization of high-cost computing devices. It can allocate resources according to different user training needs and integrate HPC and AI computing power to optimize every cost investment.

Application Scenarios

1. Intelligent Customer Service

Traditional call center customer service requires a significant amount of manpower to handle customer inquiries and requests, resulting in low efficiency and high costs. AIGC, on the other hand, can automate customer issue resolution and service using natural language processing techniques and deep learning models. By training these models, AIGC can understand and respond to user queries, providing efficient and accurate solutions, greatly enhancing the quality and efficiency of customer service.

2. Intelligent Assistant

AIGC can also be employed as an intelligent assistant in various scenarios. For instance, the intelligent assistant can assist users in organizing their daily tasks, including reminders, scheduled tasks, meeting notes, and more. Users can simply engage in a conversation with AIGC to accomplish various tasks.

3. Intelligent Education

In the field of education, applying AIGC to online education platforms can provide students with personalized learning assistance and guidance. It can recommend suitable learning materials and exercises, provide corresponding answers and guidance based on students' learning progress and needs, thereby improving learning outcomes and delivering precise, personalized instruction.

4. Intelligent Finance

By integrating with financial data, AIGC can offer personalized financial services to users. For instance, AIGC can recommend suitable financial products and investment portfolios based on the user's financial status and investment preferences. Additionally, it can continuously monitor and analyze the user's investment portfolio in real-time, providing timely alerts for adjustments and optimizations to enhance investment returns.

5. Intelligent Healthcare

In the field of healthcare, by integrating with medical knowledge bases and clinical data, AIGC can provide accurate diagnoses and treatment recommendations for doctors and patients. Furthermore, it can utilize LLM for medical image AI-assisted diagnosis, such as AI medical imaging technology for preliminary screening of lung nodules or diabetic retinopathy.

6. Intelligent Transportation

In the field of intelligent transportation, by integrating with traffic data, AIGC can monitor and predict traffic conditions in real-time, providing traffic navigation and route recommendation services. Additionally, AIGC can offer personalized travel solutions to users based on their travel needs and preferences, including transportation mode selection and travel times, enhancing the convenience and efficiency of travel.

Recommended Models

Intel AI Server

AS4110G-D10R-G3

• Intel Platform supports dual-socketintel Xeon Scalable Processors of the 3rd Generation Platinum Series
• Up to10 full-spec GPU cards, and provide 4.5P-5.6P Flops computing power (A800), greatly improving the training efficiency of the entire machine
• Up to18 PCIe expansion slots and can be configured with multiple high-speed network cards to effectively shorten the communication path and maximize cluster performance

• AMD platform supports dual-socket AMD EYPC processors
• Up to10 full-spec GPU cards and provide 4.5P-5.6P Flops computing power (A800), greatly improving the training efficiency of the entire machine
• Up to18 PCIe expansion slots and can be configured with multiple high-speed network cards to effectively shorten the communication path and maximize cluster performance