Kubernetes GPU Cluster Development Completion (Beta)

Published

We are excited to announce the beta release of our Kubernetes (K8S) GPU cluster management system. This milestone completes the core development of our GPU infrastructure orchestration platform, enabling efficient management and scaling of GPU resources within Kubernetes environments.

Core Features Implemented:

  • Massive GPU Cluster Support: Designed to accommodate clusters with up to 10 million GPUs, featuring enhanced scheduling and resource allocation algorithms
  • Distributed Storage Integration: Seamless integration with distributed storage solutions for high-performance data access across GPU nodes
  • Internal Docker Image Management: Built-in private container registry and image distribution system optimized for GPU workloads

This beta release represents a significant step forward in our GPU infrastructure capabilities, providing a robust foundation for scaling AI/ML workloads across distributed Kubernetes clusters. The system has undergone extensive internal testing and is now ready for limited beta deployment to select users.

Note: This is a beta release intended for testing and evaluation purposes. Production deployment is subject to final stability validation and feature completeness checks.