AI Managed Service

4 hrs

Complex repairs, completed onsite

Hardware repairs finished in as little as four hours with parts and OEM tools already at the customer site.

30%+

Faster hardware recovery

Reduction in hardware recovery time versus generally available industry service levels (KAYTUS field operations data).

12 hrs

Average resolution per failed node

Average end-to-end incident handling, from initial assessment through repair completion.

24/7

Certified engineers onsite

Continuous OEM-certified coverage backed by Tier 2 specialists responding within minutes.

Five Core Service Components

OEM engineering expertise, repair infrastructure, and incident response delivered directly to AI data centers and hyperscale clusters — for measurable service commitments and more predictable recovery times.

KAYTUS certified engineer performing onsite OEM diagnostics at a server rack

Factory-grade repair, at your site Factory diagnostic equipment and specialized repair tools are deployed directly at customer sites — components and complete nodes repaired without factory returns.

Customized Lifecycle Maintenance

Tailored OEM hardware maintenance across the entire equipment lifecycle, matched to each customer's infrastructure and operational requirements — from standard deployments to technically complex environments.

Onsite Critical Spares Inventory

Essential replacement hardware — compute nodes, network switches, and high-bandwidth NICs — stocked within the customer's data center. Immediate access eliminates external dispatch delays.

Onsite OEM Diagnostics & Repair

Factory diagnostic equipment and specialized repair tools deployed directly at customer sites — components and complete nodes repaired without returning systems to the factory.

Around-the-Clock Certified Engineering Support

Under applicable service tiers, OEM-certified engineers provide continuous 24/7 onsite coverage, backed by dedicated Tier 2 specialists who respond to unexpected incidents within minutes.

AI-Assisted Failure Prediction & Proactive Inspections

Scheduled health assessments and intelligent failure prediction detect early signs of hardware degradation, enabling preventive maintenance before service disruptions occur.

In AI Data Centers,
Recovery Time Is Revenue

At cluster scale, hardware failures are an inherent operational challenge — availability and recovery time become the SLA indicators that count.

01 The Reality — an outage costs far more than downtime

In a recent industry survey, 57% of organizations reported losses above $100,000 from their most recent significant outage — and some compute leasing agreements cap compensation for a single severe SLA breach at up to 25% of the monthly rental fee.

For compute providers, every hardware failure compounds: revenue lost while systems are down, contractual penalties on top, assets depreciating while idle, and end-customer trust eroding toward churn.

Raising availability and recovery speed means selling more and losing less — every investment in uptime ultimately returns as productive capacity and revenue.

02 The Gap — traditional maintenance takes days; onsite service closes it

KAYTUS engineers collaborating on cross-domain hardware diagnosis at a customer data center

One OEM team, end to end Cross-domain diagnosis handled onsite by certified engineers — no hand-offs, no factory returns.

48+ hrs

Traditional maintenance — long spare-parts lead times, factory repair cycles, and cross-domain diagnostic complexity.

→

12 hrs

KAYTUS AI Managed Service — onsite spares, OEM diagnostics, and resident certified engineers.

03 The Proof — measured in production

Proven at a leading global cloud service provider's AI data center.

100+

Racks supported, with thousands of accelerators across the deployment.

+50%

Productive compute time, driven by reduced downtime and accelerated recovery for training and inference workloads.

“KAYTUS AI Managed Service turns hardware recovery from an uncertain wait into a measurable service commitment.”

— Caesar, Head of Services, KAYTUS

Global Service Coverage

Onsite OEM coverage across the world's major AI infrastructure hubs — continuously expanding, with more regions coming soon.

Europe

East Asia

Middle East & Southeast Asia

Deployment models and service levels are tailored to each customer's infrastructure scale and operational needs, with service procedures designed to support local compliance obligations, including applicable GDPR requirements.

Frequently Asked Questions

Our data center operates high-density racks, including liquid-cooled systems. Is the service designed for environments like ours?

Yes. The service is designed for these operating conditions — rack power densities beyond 40 kW, liquid- or air-cooled infrastructure, and heterogeneous hardware. Maintenance is customized around your environment, from standard deployments to technically complex ones.

Can response and repair commitments be written into our contract?

Yes. The service is built around measurable service levels that can be formalized as contractual commitments, with the deployment model and service tier tailored to your infrastructure scale and operational needs.

How does the service fit into our day-to-day operations — will it add another disconnected tool to manage?

No. AI Managed Service integrates with KAYTUS's KSManage intelligent operations platform, combining onsite OEM expertise with AI-powered operations management — giving you one coordinated, more predictable operating model rather than another disconnected system.

Server & Storage

Software & Platform

Solutions

AI Managed Service

Five Core Service Components

Customized Lifecycle Maintenance

Onsite Critical Spares Inventory

Onsite OEM Diagnostics & Repair

Around-the-Clock Certified Engineering Support

AI-Assisted Failure Prediction & Proactive Inspections

In AI Data Centers,
Recovery Time Is Revenue

Proven at a leading global cloud service provider's AI data center.

Global Service Coverage

Frequently Asked Questions

Related Services & Resources

Hardware Service & Warranty Policy

KSManage Intelligent Operations

Case Studies

Turn hardware recovery into a measurable service commitment.

AI Managed Service

Five Core Service Components

Customized Lifecycle Maintenance

Onsite Critical Spares Inventory

Onsite OEM Diagnostics & Repair

Around-the-Clock Certified Engineering Support

AI-Assisted Failure Prediction & Proactive Inspections

In AI Data Centers,Recovery Time Is Revenue

Proven at a leading global cloud service provider's AI data center.

Global Service Coverage

Frequently Asked Questions

Related Services & Resources

Hardware Service & Warranty Policy

KSManage Intelligent Operations

Case Studies

Turn hardware recovery into a measurable service commitment.

In AI Data Centers,
Recovery Time Is Revenue