July 2-3, Shanghai — The third China Data Center Server and Equipment Summit was held in Shanghai, attracting industry experts, server manufacturers, enterprise IT users, and data center owners to discuss the design of intelligent computing center equipment in the AI-generated content (AIGC) era. Gooxi, a leading server solutions provider in China, was invited to present their AI privatization solutions.

Bridging the AI Adoption Gap

In 2023, the adoption rate of generative AI in Chinese enterprises was only 15%. Bridging the gap between AI applications and real-world enterprise needs remains a challenge. Government and enterprise users are more concerned with how large models can integrate with specialized knowledge bases to fully utilize accumulated data. To address these needs, Gooxi introduced AI privatization solutions and AI integrated machines.

AI Model Training Process:

1. Data Collection: Gathering diverse data such as text, images, audio, video, and tables.
2. Data Preprocessing: Cleaning and annotating data to create high-quality datasets.
3. Model Training: Optimizing model parameters through algorithms like gradient descent, using training and validation sets.
4. Model Fine-Tuning: Refining models for specific tasks using reinforcement learning with human feedback (RLHF).
5. Model Deployment: Implementing the trained model in production environments.

AI Integrated Machine: Solving Implementation Challenges

Gooxi’s AI privatization solutions help industries achieve model privatization quickly. These solutions integrate Gooxi's self-developed servers and AI scheduling platforms, compatible with mainstream machine learning frameworks and algorithms. This offers an easy-to-deploy, user-friendly AI learning platform, accelerating AI transformation, business innovation, and operational efficiency.

Leveraging Gooxi's extensive hardware R&D experience, the AI integrated machine provides end-to-end services for data processing, model development, training, and inference. It offers various configurations to meet different business needs and budgets, supporting AI development platforms, API services, and third-party tools.

Advantages of the AI Integrated Machine

1. Low Barrier to Entry: Comprehensive hardware and software solution with Gooxi's self-developed platform, ready to use and optimized for performance.
2. Integration: Seamlessly integrates training and inference, supporting specialized models.
3. Visualization: Visualized computing power scheduling and drag-and-drop multimodal application deployment.

The Eagle Stream 4U 10-GPU AI Server, built on Intel’s Eagle Stream platform, offers robust computing power and exceptional scalability. It supports 32 DDR5 4400/4800/5600MHz ECC memory, CPU-GPU direct or switch expansion modes, up to 10 600W dual-width GPU cards, and various storage configurations, making it suitable for AI, scientific computing, cloud computing, virtualization, big data analysis, and digital twin applications.

Application Scenarios for the AI Integrated Machine

1. Healthcare: Ideal for medical imaging and data inference requiring CPU and GPU dual scheduling, and for projects integrating healthcare services across community hospitals and elderly care institutions.
2. Education: Meets the computing power demands of smart campus platforms, offering comprehensive management, teaching, safety, and service solutions. It enables precise grading, personalized teaching, and competitive advantage through tailored resources.

Implementing AI applications requires a deep understanding of specific scenarios and user needs. Gooxi continues to innovate its products and solutions, working with partners to promote the widespread adoption and application of AI technology.