繁體中文ML DevOps
Enterprises invest in AI development often face the following challenges：
Multiple heterogeneous resource requirements
- Server, GPU, Object storage, File storage
Complex software components
- Big Data
- Machine Learning
- Web Services
Different professional expertise departments
- Data Scientist
- AI Scientist
- IT Operations
Leading to each department having its own process data
- Operational Silos
Gemini ML DevOps Solution Advantages：
- Support multiple Raw Data formats
- Quickly and automatically create the computing environment required for AI/ML
- Flexibility to adjust the computing resources required for each ML project
- AI training data will be storing and sharing in the cloud
- Continuous training and improving AI inference model