Adaptive Cluster Manager (ACM) is a powerful cluster management solution designed to simplify and optimize the deployment and operation of Linux-based high-performance computing (HPC) and AI clusters. It supports both on-premises and hybrid cloud environments, offering seamless cloud bursting to major providers like AWS, Azure, OCI, and GCP. ACM is built for simplicity, scalability, and cost-effectiveness, making it ideal for organizations seeking to manage complex computing infrastructures efficiently.

Features

• Rapid Deployment & AI-Ready Integration: Supports multiple Linux distributions and installs quickly on bare metal or virtual environments.
• Optimized AI Workload Management: Intelligent, automated scheduling and resource allocation for efficient compute usage.
• Unified Management Interface: Web-based GUI and command-line tools for full control over operations.
• Automated Node Provisioning: Simplifies configuration and scaling of compute nodes for AI tasks.
• Real-Time Cluster Monitoring: Provides detailed performance metrics, including GPU utilization.
• Scalable Architecture: Supports both small AI clusters and large-scale HPC environments.
• Seamless Cloud Bursting: Dynamically extends on-premises resources to the cloud during peak demand.
• Secure User Management: Role-based access control (RBAC) for secure, multi-team access.
• Support for AI-Driven Workloads: Compatible with NVIDIA CUDA and OpenCL for GPU-accelerated applications.

Benefits

• Simplifies Cluster Management: Reduces administrative burden with automation and unified tools.
• Maximizes Resource Utilization: Prevents underutilization and bottlenecks in compute resources.
• Accelerates AI & HPC Productivity: Enables faster deployment and efficient workload execution.
• Enhances Scalability: Grows with your workload demands without requiring permanent infrastructure.
• Improves Security & Access Control: Ensures secure, role-based access for diverse teams.
• Supports Hybrid Environments: Bridges on-premises and cloud resources for flexible computing.