Empowering Neocloud & AI Data Center Operators for the AI Era
GPU infrastructure providers, neocloud platforms, and hyperscale data center operators are racing to deliver AI compute at unprecedented scale. That race creates a new reality: the infrastructure stack must evolve as fast as the business.
From new data center builds to customer provisioning to thermal monitoring and remediation, teams need automation that is fast, repeatable, and safe. But most teams are still operating with fragile scripts, custom internal tools, and manual workflows that do not scale beyond a single site or a handful of engineers.
Itential provides the orchestration layer that enables AI infrastructure operators to modernize, standardize, and scale their infrastructure operations across every data center, every network vendor, and every domain.
How Itential Drives Value for AI Infrastructure Teams
Itential provides the multi-vendor, multi-domain integration and orchestration capabilities required to operate and scale GPU cloud infrastructure without increasing operational headcount. Itential helps teams reduce toil, accelerate provisioning, and build operational consistency as they expand into new sites and new vendor environments.
Scale Operations Across Data Centers
Standardize and repeat successful operations as you expand into new sites.
- Replicate workflows across every data center location
- Reduce operational toil without adding headcount
- Eliminate site-by-site custom tooling and scripts
Automate Diagnostics & Remediation
Reduce MTTR by triggering workflows from alerts and events across the stack.
- Cut diagnostics time from hours to minutes
- Automatically collect logs, telemetry, and device data
- Launch remediation workflows and open tickets automatically
Enable Vendor-Agnostic Infrastructure
Build portability into your network and fabric operations from day one.
- Abstract vendor-specific complexity behind common workflows
- Pivot between Sonic, Arista, Juniper, and more without rewrites
- Reduce vendor lock-in and future migration risk
Deliver Self-Service Digital Operations
Empower DC Ops and CX teams to resolve issues without engineering escalation.
- Increase ticket close rates with governed self-service
- Reduce escalations to senior engineering teams
- Standardize execution with RBAC, audit trails, and approvals
Orchestrate Customer Provisioning at Speed
Accelerate revenue by automating complex onboarding and activation workflows.
- Reduce provisioning time from days to minutes
- Coordinate across network, security, and interconnect providers
- Validate changes automatically to reduce errors and rework
Reduce Automation Maintenance Burden
Spend less time maintaining brittle integrations and more time building value.
- Integrate existing Ansible and Python without rebuilding
- Reduce dependency breakage from external API changes
- Standardize execution with repeatable, reusable services
Trusted by Next-Generation Cloud Infrastructure Providers
10x
faster incident triage with alert-driven workflows
30 – 50%
fewer escalations to engineering with self-service ops
50 – 70%
reduction in operational toil across repeatable tasks
2 – 3x
time to new service creation
60 – 90%
less time spent maintaining brittle integrations and glue code
Hours → Minutes
automated GPU diagnostics and evidence collection
CUSTOMER STORY
Scaling GPU Data Center Operations Without Adding Complexity
CHALLENGE
Manual diagnostics and site-specific automation couldn’t keep up with rapid NeoCloud expansion, leaving GPU alerts and operational workflows slow, inconsistent, and dependent on engineering expertise.
SOLUTION
Standardized vendor-agnostic workflows and event-driven orchestration across sites with the Itential Platform, enabling automated diagnostics, self-service execution, and repeatable operational execution at scale.
WHY ITENTIAL
Chosen for enterprise-grade orchestration, low-code accessibility, and integration flexibility, Itential enabled a governed, scalable event-to-action model that reduced time-to-triage and supports future closed-loop operations.


Itential’s platform capabilities allowed our team to shift from one-off automation to a standardized orchestration operating model that could scale with both infrastructure growth and operational demand.
Lead Infrastructure Architect, GPU Cloud Provider
From Automation to Orchestration at Data Center Scale
See how AI infrastructure operators evolve from brittle automation to repeatable, governed workflows across every site and system.
Before Itential
After Itential
The Platform for Infrastructure Orchestration in the AI Era
Itential’s platform enables teams to quickly adapt to evolving infrastructure requirements, manage rapid expansion across sites, and orchestrate across hybrid network, cloud, and data center environments.
Simplify complex network processes with drag-and-drop low-code workflows for simplifying hybrid cloud network management from Day 0/1 deployment, Day 2 changes, and beyond.
The Itential Model Context Protocol (MCP) is the bridge between AI-generated intent and enterprise infrastructure. Built on the MCP open-source standard, it connects AI agents to Itential’s Platform, enabling safe, auditable, and policy-driven automation and orchestration execution at scale.
Easily manage configurations for both physical and cloud infrastructure and ensure compliance across your entire network.
Quickly create self-service catalogs for end-users or integrate with other self-service platforms like ServiceNow. Securely enable IT infrastructure as a service which integrates with your existing DevOps tools and CI/CD pipelines.
Easily onboard existing Ansible, Python, or Terraform automations and provide enterprise grade security, authentication and audit controls. Integrate automations into workflows for seamless change processes.
No-code integration with ANY systems in your environment to build reliable orchestrations.
What AI Infrastructure Teams Can Do With Itential
Itential helps AI infrastructure teams scale operations across data centers, improve reliability, and accelerate customer delivery, without increasing engineering burden.
For Infrastructure Engineering Teams
Orchestrate and scale automation across your full stack without maintaining brittle custom tooling.
- Integrate existing Ansible, Python, and API automation without rewriting
- Reduce the maintenance burden of custom integrations as dependencies change
- Standardize orchestration across NetBox, Vault, CI/CD, ticketing, and observability tools
- Build reusable workflow components that scale across multiple data centers
- Enforce governance, access control, and auditability without slowing delivery
- Create an orchestration foundation for self-healing and agentic workflows
For Network Engineering Teams
Deploy and operate switch fabrics at scale with vendor flexibility, validation, and repeatability.
- Automate fabric buildouts and configuration changes across any network vendor
- Create OS-agnostic workflows that remain consistent as platforms change
- Orchestrate golden config enforcement, backups, and version control in Git
- Perform network-wide refactors and mass changes with confidence and validation
- Automate pre-checks, post-checks, and rollback workflows for safer operations
- Reduce the risk and effort of switching from Sonic to Arista, Juniper, or beyond
For Data Center Operations Teams
Execute repeatable workflows that reduce toil, speed diagnostics, and improve reliability.
- Replace manual operational tasks with self-service workflows and guardrails
- Automate diagnostic collection from iDRAC/Redfish and other infrastructure APIs
- Trigger workflows from alerts to run triage, collect evidence, and escalate intelligently
- Standardize execution across sites for consistent outcomes and fewer errors
- Reduce time spent on repetitive tasks so DC Ops can focus on uptime and readiness
- Enable faster response to GPU thermal events and hardware remediation workflows
For Customer Experience & Service Delivery Teams
Close more tickets internally and accelerate customer provisioning without constant engineering escalation.
- Increase ticket close rates with self-service automation built for non-developers
- Run approved workflows safely with RBAC, approvals, and audit trails
- Automate customer activation workflows across network, security, and interconnect providers
- Speed up provisioning and reduce time-to-revenue with standardized onboarding workflows
- Reduce escalations by automatically collecting diagnostics and attaching evidence to tickets
- Improve customer satisfaction through faster resolution and repeatable delivery
Frequently Asked Questions
How does Itential help GPU infrastructure providers scale across new data centers?
Itential enables repeatable orchestration workflows that can be deployed across every site, eliminating the need to rebuild automation per location.
Can Itential support multi-vendor network fabrics and reduce vendor lock-in?
Yes. Itential enables vendor-agnostic data models and transformations that allow workflows to remain consistent even when switching network vendors.
Does Itential integrate with NetBox and other sources of truth?
Yes. Itential integrates with NetBox and other inventory systems via APIs, enabling dynamic inventory, automated population, and synchronization workflows.
Can Itential automate GPU thermal diagnostics and remediation?
Yes. Itential can integrate with iDRAC/Redfish APIs and observability systems to automatically collect diagnostics, trigger remediation actions, and generate tickets.
Do teams need to replace Ansible, Python, or Terraform automation?
No. Itential is designed to orchestrate and govern existing automation, making it scalable and reusable without rewriting what teams already built.
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