Project Overview
Artificial intelligence and data science studies require a flexible and secure working environment as well as high processing power. As Mega Computer, we have designed a scalable and isolated Artificial Intelligence Laboratory ecosystem where students and academics can develop their projects to modern world standards.
Solutions Offered and Implementation
Containerized Infrastructure and Automation:
The entire development environment is built on a Docker server infrastructure. GitHub Image integration automates software development processes, enabling users to develop quickly.
Flexible Workspaces:
Users are offered both public and private project spaces, establishing a balance between collaboration and privacy.
Centralized Data and Security:
Data sharing processes are optimized with NFS (Network File System), ensuring files are accessible from anywhere.
All system security and user authorization are protected in a centralized structure with LDAP integration.Advanced AI Assistant:
As the most innovative step of the project, the Co-Pilot application was optimized specifically for the university environment. This provided students with intelligent support during the coding phase, in line with corporate standards.
Ready-made and Customized Images:
To prevent users from wasting time with complex installations, a library of ready-made images containing popular libraries and institution-specific images was prepared.
Results Obtained
Fast Deployment:
The installation time of an AI development environment was reduced from hours to minutes.
Cyber Security:
Thanks to LDAP and isolated image structure, 100% data security was ensured in the university network.
Innovation in Education:
A unique AI-supported (Co-Pilot) academic work environment, rarely seen in Türkiye, was implemented.
It was passed.One of Türkiye's most modern AI development centers has been established with Co-Pilot integration.
Details:
- NVIDIA GPU Models and Kubernetes/Docker Capabilities.
Technical Infrastructure:
- NVIDIA A100 and RTX 6000 Ada Generation GPU cards were used in the system for high-density computing/artificial intelligence (HPC/AI) needs.
Software and Standards:
- High availability was ensured by using Docker and Kubernetes architecture in containerization processes.
Results Obtained:
- An infrastructure meeting NVIDIA Certified Systems standards, necessary for academic studies, has been provided, and with Co-Pilot integration, one of Türkiye's most modern AI development centers has been established.