AMI Data Center Manager
AMI® Data Center Manager is a powerful tool that helps organizations manage their data centers with greater reliability, efficiency and sustainability. It is also a highly customizable and scalable solution, giving you the flexibility you need to tailor it to your specific data center environment.
By leveraging real-time data collection, predictive analytics and advanced reporting features, AMI Data Center Manager enables data-driven decisions that improve the sustainability, reliability and operational efficiency of data center infrastructure.
AMI Data Center Managment Use Cases
Whether you cover infrastructure management or IT operations, AMI Data Center Manager provides you with the tools that you need to optimize performance, reduce operating costs and manage your data center carbon footprint. AMI Data Center Manager provides a wide range of capabilities and covers three major sets of use cases to help manage data centers.
Capacity Planning and Energy Consumption
- Space and Power Usage Forecasting
- Rack Density Optimization
- Granular Thermal Mapping
- Device Level Energy Monitoring
- Power Capping
Utilization and Health Monitoring
- System Utilization Monitoring
- Identification of “Zombie” Servers
- Real-time Server Health Issues Detection
- Server Health Issues Prediction
- Customizable Alerts
Infrastructure and Asset Manageability
- Rightsizing Data Center Infrastructure
- Real-time Discovery and Asset Tracking
- Remote System Management
- Power, Thermal and Health Alerts
- End-to-End Data Aggregation
AMI Data Center Manager FAQs
What is AMI Data Center Manager?
AMI Data Center Manager is an advanced data center management software solution that provides real-time monitoring and control of IT device-level health, power consumption, thermal performance, carbon emissions, utilization, firmware management and overall infrastructure efficiency. AMI Data Center Manager is a great solution for multi-vendor data centers that need a single-pane-of-glass solution for optimizing data center operations.
Is AMI Data Center Manager a Data Center Infrastructure Management (DCIM) solution?
While AMI Data Center Manager shares some features with typical DCIM solutions, it is not classified as DCIM software. AMI Data Center Manager primarily focuses on the real-time monitoring and management of IT devices from various vendors, including servers, power, storage, networking and cooling devices. It monitors their health, utilization, power consumption, thermal conditions, firmware and more, and aggregates and analyzes this data to provide a comprehensive view of a data center’s operations.
In contrast, DCIM software generally focuses on managing the physical infrastructure of the data center, including networking, security, cooling, ticketing, lifecycle management and other facility-level components.
AMI Data Center Manager complements DCIM by providing device-level insights, particularly in multi-vendor environments and AI-driven workloads. It can also integrate with DCIM systems to offer more granular control over a data center’s IT infrastructure.
What key features does AMI Data Center Manager provide?
Key features of AMI Data Center Manager include:
- Multi-device and vendor support: Suitable for heterogeneous environments, supporting servers and IT devices like power, networking, cooling and storage from various manufacturers.
- Real-time Power and Thermal Monitoring: Provides insights into power usage and thermal conditions across servers, racks or entire facilities without requiring additional hardware.
- Firmware Management: Enables seamless management of firmware versions with support for Redfish®-based updates.
- Power Control: Performs power capping for protection against power surges or to increase rack densities.
- Underutilized Server Identification: Identifies servers that have been idle for extended periods and provides insights into potential energy savings through consolidation or shutdown.
- Sustainability Focus: Contributes to energy efficiency and reduces carbon footprints while supporting compliance with regulations and legislation.
- Scalability: Suitable for data centers of all sizes, supporting over 60K devices with a single instance.
- Multiple Interfaces: Accessible via a web console, integrated into custom solutions using RESTful APIs, supports real-time data streaming with Apache Kafka and can be embedded through iFrames into other applications.
- What-if Analysis: Models potential changes in power consumption and carbon emissions if devices are removed, replaced or if PUE/carbon intensity changes.
- Server-to-Server Comparison: Compares power and efficiency between servers running similar workloads to assist with procurement decisions.
What new features have been introduced in AMI Data Center Manager v6.0?
AMI Data Center Manager v6.0 introduces several enhancements, including:
- GPU Management: Support for most NVIDIA data center GPUs, as well as the NVIDIA GB200/GB300 NVL72 platforms.
- AI Infrastructure Management: All-around support for dense AI and HPC computing clusters and infrastructures, including liquid cooling.
- Real-time PUE Monitoring: Connects to power meters to calculate and monitor real-time PUE and CUE.
- Arm-based Server Support: Support for Ampere CPUs and NVIDIA Grace CPUs
- Enhanced AMD-based Server Support: Support for more server models, with power-capping on supported models
- Tiered feature-based licensing: Base, Standard and Premium tiers to support various customer use cases.
How does AMI Data Center Manager v6.0 support AI and GPU management?
AMI Data Center Manager v6.0 offers extensive GPU management capabilities, particularly for NVIDIA GPUs. These features include:
- Real-time GPU health and performance monitoring.
- Power consumption tracking and optimization for GPUs, including power capping.
- GPU utilization metrics to ensure optimal allocation in AI workloads.
- Performing GPU tasks such as resetting GPUs, Enabling/Disabling ECC and diagnostics.
How can AMI Data Center Manager help optimize data centers for AI workloads?
AMI Data Center Manager v6.0 can help optimize data centers for AI workloads by:
- Monitoring the health and performance of GPU and server components in real-time.
- Ensuring AI clusters are running efficiently by identifying underutilized devices and optimizing workload distribution.
- Enabling power and thermal management specific to GPU-heavy environments, ensuring systems are stable during peak AI workload usage.
- Providing early detection of potential hardware failures before they affect operations.
How can AMI Data Center Manager ensure energy efficiency in AI-driven environments?
AMI Data Center Manager’s real-time monitoring of power consumption, cooling efficiency and utilization helps optimize energy usage in AI-driven environments. By managing the power consumption of GPUs, CPUs and other hardware, AMI Data Center Manager can prevent energy waste, ensuring efficient use of resources. In AI clusters, energy efficiency is achieved by:
- Identifying underutilized resources and consolidating workloads.
- Implementing power capping for GPUs to prevent overconsumption during peak usage.
- Monitoring thermal performance to avoid overcooling and reduce unnecessary energy usage.
How does AMI Data Center Manager benefit colocation environments?
AMI Data Center Manager offers significant advantages in colocation environments by providing visibility and control over individual tenants’ IT infrastructure, including servers, power, cooling and GPU resources. Key benefits include:
- Independent Management: Tenants can monitor and manage their own equipment while sharing physical space and infrastructure.
- Energy Efficiency: AMI Data Center Manager helps reduce overall energy consumption by identifying underutilized equipment and optimizing power usage, leading to potential cost savings.
- Thermal Management: Real-time thermal data helps ensure proper cooling for tenant servers, preventing hotspots and inefficiencies in shared data center spaces.
- Cost Optimization: Tenants can efficiently manage their workloads to prevent energy waste and optimize server utilization within the shared infrastructure.
Is AMI Data Center Manager suitable for colocation providers to monitor shared infrastructure?
Yes, colocation providers can use AMI Data Center Manager to monitor the overall health and efficiency of the shared infrastructure, such as power, cooling and environmental conditions. It enables operators to:
- Monitor resource usage across the entire data center, ensuring optimal performance for all tenants.
- Track the overall power and thermal efficiency of the data center to meet sustainability goals.
- Monitor cooling and power infrastructure in real-time, ensuring that resources are allocated efficiently to different areas of the facility.
How does AMI Data Center Manager help in managing power usage in a colocation environment?
AMI Data Center Manager can monitor power consumption at the server, rack, cage or facility level, offering insights into energy usage for each tenant. In a colocation environment, this enables:
- Tenant-Specific Power Usage Tracking: Tenants can view their power consumption and optimize it to avoid overuse and reduce costs.
- Data Center-Level Power Optimization: Operators can use real-time power and thermal data to make adjustments and ensure that shared resources are used efficiently without overloading circuits or infrastructure.
What CPU architectures does AMI Data Center Manager support?
AMI Data Center Manager supports a wide range of CPU architectures including Intel, Arm and AMD to ensure compatibility across various server platforms.
Can AMI Data Center Manager integrate with other solutions?
Yes, AMI Data Center Manager can be integrated into other systems and platforms via RESTful APIs, Apache Kafka for real-time data streaming and iFrame embedding for a seamless experience within other dashboards or applications. This flexibility allows organizations to incorporate AMI Data Center Manager functionality into custom workflows and solutions.
How does AMI Data Center Manager improve data center efficiency?
AMI Data Center Manager improves efficiency by monitoring power and cooling usage in real time, allowing data center operators to identify inefficiencies and apply corrective actions. Power capping can be used to ensure that systems are running at optimal levels without excessive energy consumption and operational costs.
How can I submit issues during AMI Data Center Manager evaluation?
If you encounter issues during your AMI Data Center Manager evaluation, you can reach out to AMI’s dedicated support team by email at [email protected]. The technical team will provide troubleshooting assistance, documentation and guidance on how to resolve the issue.
Is there a list of supported devices?
AMI Data Center Manager supports a wide range of devices, including servers, storage solutions and networking equipment as long as they follow protocols like IPMI 2.0, Redfish, SNMP or SSH.
While there is no exhaustive list, AMI Data Center Manager supports servers from most major manufacturers like Dell, HP, Lenovo and others. Power-capping and provisioning are supported on certain models.
For devices not fully supported, users can contact support, and new device support may be added in future releases.
What analytics does AMI Data Center Manager provide?
AMI Data Center Manager delivers real-time and historical analytics, covering:
- Power consumption at server, rack or facility level.
- Thermal conditions and cooling efficiency.
- Server utilization and workload distribution.
- Firmware management.
- Customizable alerts for potential issues, enabling proactive management.
How does AMI Data Center Manager assist with cooling management?
AMI Data Center Manager helps optimize cooling by providing detailed thermal monitoring that can aid in cooling adjustments based on real-time data. By identifying hotspots and adjusting cooling as needed, it ensures that cooling resources are used efficiently, reducing energy costs and enhancing server performance.
Can AMI Data Center Manager help with server failure prevention?
Yes, AMI Data Center Manager’s predictive analytics and alerts help identify potential issues before they lead to server failures. By tracking key metrics such as power, temperature and utilization, AMI Data Center Manager allows operators to take proactive measures, reducing downtime and avoiding costly failures.
How scalable is AMI Data Center Manager?
AMI Data Center Manager is designed to scale with your organization, supporting everything from small server rooms to large data center operations with thousands of devices. Its architecture ensures that one AMI Data Center Manager instance can manage over 60,000 devices.
What licensing options are available for AMI Data Center Manager?
How can I get started with AMI Data Center Manager?
To get started, request a free trial of AMI Data Center Manager. For more information or questions, you can contact [email protected]. AMI provides full support, including detailed documentation and responsive technical assistance.
On which operating systems can AMI Data Center Manager be installed?
AMI Data Center Manager can be installed on multiple operating systems, including various Windows® versions and Linux® distributions.
Relentless Engineering, Real-World Support
AMI Data Center Manager is your single-pane-of-glass solution for optimizing data center operations.
AMI delivers hands-on, expert-led support tailored to our clients’ needs. With global coverage, direct engagement models and deep partnerships across the silicon and OEM ecosystem, our teams work as an extension of yours.
24/7 support with escalation paths for ODMs, OEMs and silicon partners
Integration engineers embedded with customer teams during critical phases
Fewer bugs, faster resolution, less friction
Less Integration, More Innovation.
Ready to Boost Efficiency and Sustainability in Your Data Centers?
Get started today with AMI Data Center Manager to optimize performance, reduce operating costs and manage your data center carbon footprint. From silicon to system to datacenter orchestration, our solutions deliver the control, security and scalability you need to lead in today’s AI-driven world.