What Fully Managed AI Infrastructure Includes

Fully managed AI infrastructure includes compute, storage, networking, an orchestration platform, 24/7 monitoring, lifecycle management, compliance controls, and support, all operated by the provider under an SLA, so the customer's team focuses on AI rather than infrastructure. The defining feature is that operations are included, not optional.

Teams often encounter "managed" labels that mean different things. Some providers include operations; others include only the hardware and leave operations to the customer. Fully managed means the provider assumes the operational burden completely, under a defined SLA. Knowing what fully managed actually includes helps teams avoid buying partially managed services marketed as fully managed.

The Six Components of Fully Managed AI Infrastructure

1. Compute, Storage, and Networking

The infrastructure layer includes GPU compute, AI-grade storage, and high-performance networking, all provisioned and maintained by the provider. The customer does not source, configure, or maintain these components; the provider delivers them as an integrated system.

2. Orchestration Platform

A fully managed service includes the platform that governs multi-team access, GPU quota, scheduling, deployment, and observability. The provider operates the platform, so the customer does not build or maintain orchestration tooling.

3. 24/7 Monitoring and Alerting

The provider monitors the infrastructure continuously, covering GPU-specific metrics, job health, and security-relevant events, and responds to alerts under the SLA. The customer does not staff monitoring; the provider's operations team handles it around the clock.

4. Lifecycle Management

The provider manages the infrastructure lifecycle: provisioning, patching, capacity planning, scaling, and decommissioning with documented wipe procedures. The customer does not plan capacity or apply patches; the provider handles these under change control.

5. Compliance Controls

Fully managed infrastructure includes compliance controls: encryption, access governance, audit logging, and data residency, all operated by the provider under the appropriate compliance scope. The customer inherits a compliant posture rather than building one.

6. Support and Operational Guidance

The service includes GPU-aware support, guided onboarding, and operational guidance that helps workloads succeed. Support is not a separate tier; it is part of the fully managed service, with response times defined in the SLA.

Fully Managed vs Partially Managed

How to Verify Fully Managed Is Actually Fully Managed

How OneSource Cloud Delivers Fully Managed AI Infrastructure

OneSource Cloud's managed AI infrastructure includes all six components on top of private AI infrastructure: the compute, storage, and networking as an integrated system; the OnePlus Platform for orchestration; 24/7 GPU-specific monitoring; lifecycle management under change control; compliance controls designed into the stack; and GPU-aware support under an SLA. The model is designed so the customer's team focuses on AI, not on operating infrastructure.

FAQ

What does fully managed AI infrastructure include?

Six components: compute, storage, and networking; an orchestration platform; 24/7 monitoring; lifecycle management; compliance controls; and GPU-aware support, all operated by the provider under an SLA. The defining feature is that operations are included, not optional or customer-owned.

How is fully managed different from partially managed?

Fully managed includes operations, platform, monitoring, lifecycle, compliance, and support, all provider-operated. Partially managed provides some components but leaves others, typically operations and platform, to the customer. The difference is whether the customer operates the infrastructure or just uses it.

Does fully managed include compliance controls?

Yes. Fully managed infrastructure includes encryption, access governance, audit logging, and data residency, all operated by the provider under the appropriate compliance scope. The customer inherits a compliant posture rather than building and maintaining one.

Is support included in fully managed AI infrastructure?

Yes, GPU-aware support is part of the fully managed service, with response times defined in the SLA. Support is not a separate tier; it is included, which is what makes the service fully managed rather than partially managed with a help desk add-on.

How do I verify a service is actually fully managed?

Ask who monitors and patches, whether the platform is included, whether compliance controls are built in, whether support is GPU-aware and included, and who plans capacity. Fully managed answers put all operational responsibility on the provider under an SLA.

Summary

Fully managed AI infrastructure includes compute, storage, networking, platform, 24/7 monitoring, lifecycle management, compliance controls, and GPU-aware support, all operated by the provider under an SLA. The defining feature is that operations are included, not optional. Verifying all six components are provider-operated, rather than partially managed with customer-owned operations, is what ensures the service delivers on the fully managed promise and lets the customer's team focus on AI rather than infrastructure.

Next step: Explore OneSource Cloud's managed AI infrastructure to verify its fully managed scope →