Dev48
Language
  • About
  • Services
  • Industries
  • Technologies
  • Articles
  • Contacts
Book a call
    Home/Articles/Ami rack manager version 10 to debut at ami tech summit 2026
Dev48
info@dev48.org+375 29 320-40-96WhatsApp@isky_by

© 2026 · All rights reserved.

AMI Rack Manager Version 1.0 to Debut at AMI Tech Summit 2026

Фото: milanbauer (Pixabay) — https://pixabay.com/photos/car-vintage-citroen-ami-ami-6-7289996/

September 26, 2026 at 03:22 AM

AMI Rack Manager Version 1.0 to Debut at AMI Tech Summit 2026

AMI Rack Manager 1.0 is here, bringing centralized visibility into rack health, power, and thermals for AI infrastructure at enterprise and cloud scale.

Bringing Intelligent Rack-Level Management to the AI Infrastructure Era

As AI, cloud, and high-performance computing deployments continue to scale, the rack has emerged as the new unit of infrastructure innovation. Today’s data center operators must manage increasingly complex combinations of compute, networking, power, cooling, and accelerators while maintaining efficiency, reliability, and visibility across their environments. To address these challenges, AMI is proud to announce the release of AMI Rack Manager version 1.0, debuting today at the AMI Tech Summit 2026 in Taipei.

Built to help organizations simplify rack-level operations and accelerate AI infrastructure deployment, AMI Rack Manager extends AMI’s portfolio of infrastructure management solutions with dedicated capabilities designed for modern rack-scale architectures. The solution complements AMI’s broader AI infrastructure management ecosystem, which includes the AMI Meridian™ platform and AMI Data Center Manager, providing customers with the tools needed to manage heterogeneous environments securely and efficiently. AMI’s infrastructure management solutions are designed to deliver scalable lifecycle management, AI-powered analytics, heterogeneous device support, and policy-driven automation across modern data centers.

The Shift to Rack-Scale Infrastructure

The rapid growth of AI workloads has transformed how data centers are designed and operated. Rather than managing isolated servers, operators increasingly deploy complete rack-scale systems that integrate accelerators, high-speed fabrics, power shelves, liquid cooling infrastructure, management controllers, and storage resources into a unified platform. This evolution demands new levels of visibility and orchestration. Infrastructure teams need insights not only into individual devices, but also into health, performance, power consumption, and thermal characteristics of entire racks.

AMI Rack Manager was developed to address this growing need by providing centralized rack-level management and monitoring capabilities that help to support the operational requirements of enterprise, hyperscale, and neo-cloud environments and deploy, manage, and optimize complex infrastructure at scale with:

  • Rack visualization, management, telemetry collection, and support for industry-standard management interfaces and protocols.
  • Simplified rack-level infrastructure management
  • Visibility into rack health, power, and thermal conditions
  • Support for heterogeneous infrastructure environments
  • Integration with AI infrastructure management workflows
  • Policy-based operational automation
  • Scalability from individual racks to larger data center deployments

These goals align with AMI’s broader vision of delivering intelligent infrastructure management solutions that help customers improve operational efficiency, reduce downtime, and simplify increasingly complex infrastructure environments. AMI’s data center strategy emphasizes scalable infrastructure management, AI-driven analytics, policy-based automation, and support for diverse hardware platforms.

What’s New in AMI Rack Manager Version 1.0

This new release of AMI Rack Manager builds on its already solid foundation, adding new features for comprehensive rack-scale management, including:

  • Improved operational visibility
  • Faster identification of infrastructure issues
  • Streamlined rack deployment and management workflows
  • Better utilization of rack resources
  • Greater support for AI and accelerated computing environments

Enabling the Future of AI Infrastructure

As the industry increasingly shifts toward rack-scale and pod-scale architectures, the power, cooling, networking, and compute resources it depends upon must now operate as a fully integrated system. Organizations building AI factories and next-generation data centers require management platforms capable of understanding and controlling data center infrastructure holistically rather than as isolated devices.

AMI Rack Manager represents another step forward in AMI’s commitment to delivering open, intelligent, and scalable infrastructure management solutions that help customers meet these evolving demands. By extending visibility and management capabilities closer to the rack, organizations can better monitor operations, optimize resource utilization, and support the growing complexity of AI infrastructure deployments.

AMI Rack Manager in Action at the AMI Tech Summit 2026

Attendees of the AMI Tech Summit 2026 in Taipei will have the opportunity to learn more about AMI Rack Manager and see how it fits within AMI’s broader vision for AI infrastructure management, firmware lifecycle management, security, and operational automation.

For more information about this new release of AMI Rack Manager, please contact your AMI representative or visit ami.com/solutions/data-center-solutions/.

← All articles

What this article says

More in Software Development

All →
Form field detection: fewer missed fields, cleaner labels
Datalab

Form field detection: fewer missed fields, cleaner labels

How Credem improved application testing with generative AI
Sopra Steria

How Credem improved application testing with generative AI

MPS 2026.2 Has Been Released!
JetBrains

MPS 2026.2 Has Been Released!

Interpals expands its commercial reach and manages more than 600 sites with SiteMinder
Siteminder

Interpals expands its commercial reach and manages more than 600 sites with SiteMinder

CURE International completes electronic medical records rollout across its eight children's hospitals with Thoughtworks
Thoughtworks

CURE International completes electronic medical records rollout across its eight children's hospitals with Thoughtworks

Give your Vercel AI SDK agents memory with Redis Agent Memory
Redis

Give your Vercel AI SDK agents memory with Redis Agent Memory

More from AMI

A Device-Centric Approach to AI Infrastructure Efficiency and Reliability
AMI

A Device-Centric Approach to AI Infrastructure Efficiency and Reliability

GPU and AI Infrastructure Management with AMI Data Center Manager
AMI

GPU and AI Infrastructure Management with AMI Data Center Manager

One Codebase, Many Platforms: Why the AI Era Demands a Unified BMC
AMI

One Codebase, Many Platforms: Why the AI Era Demands a Unified BMC

1+1=3: The Silicon-to-Firmware Handshake
AMI

1+1=3: The Silicon-to-Firmware Handshake

BIOS and BMC Security Center
AMI

BIOS and BMC Security Center

AMI at 40: Firmware Becomes the AI Factory’s Control Plane
AMI

AMI at 40: Firmware Becomes the AI Factory’s Control Plane