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Cluster Engine을 중심으로 PyTorch, Hugging Face 같은 프레임워크와 Kubernetes, Docker 같은 강력한 환경을 통합하세요.
클러스터 전체에 걸쳐 컨테이너화된 워크로드를 자동으로 확장하고 관리하여, GPU 활용도와 가동 시간을 극대화합니다.
Seamlessly orchestrate containers with Kubernetes, optimizing your AI/ML, HPC, and cloud-native applications.
Run AI workloads faster with preconfigured, GPU-optimized containers or bring your own custom images to match your unique needs.
Containers are automatically deployed with minimal configuration, reducing manual setup time and speeding up time-to-market.
Monitor GPU and job performance in real-time with custom alerts, ensuring that resources are always aligned with workload demands.
Track every container’s performance from start to finish, with full visibility into resource usage and job health.
Granular RBAC ensures that the right people have access to the right resources, enabling secure collaboration within teams and organizations.
Create user groups for easier management, assigning resources and permissions based on team roles.
Isolated VPCs for each customer to ensure secure, separate network and compute resources.
Dedicated private subnets and secure messaging for end-to-end data integrity and safety.
Secure data center connectivity, ensuring fast and private communication across VPCs.
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