Why telcos are building GPU platforms now
AI demand is rising fast—and telcos often have the advantage of infrastructure, customers, and sovereign control. The challenge is operational: GPU capacity shows up, but scaling it safely across teams can become slow, manual, and inconsistent.
Common symptoms:
- Multiple Kubernetes clusters across on-prem and cloud
- Ticket-based provisioning that blocks adoption
- Inconsistent governance/security controls between environments
- GPU underutilization and cost leakage
The answer isn’t “more clusters.” It’s an enterprise platform: repeatable, governed, and designed for Day-2 operations.
The Raydian Cloud + Rafay approach
Raydian Cloud provides the platform delivery + managed operations. Rafay provides the platform control plane to standardize and govern multi-cluster Kubernetes (and GPU platform patterns), enabling self-service without losing control.
What this enables:
- Multi-tenant GPU-as-a-Service on Kubernetes
- Guardrails-by-default governance (policy, access, auditability)
- Self-service provisioning through a portal/API
- Enterprise integrations (ITSM workflows, identity, security telemetry)
- 24×7 operations with measurable service outcomes
What “self-service with guardrails” looks like
A platform only works when teams can move fast and the business can stay compliant.
Self-service provisioning (without chaos)
Teams provision environments using approved templates and policies—faster onboarding, fewer manual exceptions.
Multi-tenancy by design
Clear tenant boundaries (business units, product teams, or enterprise customers), with quota controls and predictable cost allocation.
Cost and utilization control (critical for GPUs)
Visibility and controls to reduce idle capacity and enable showback/chargeback where needed.
Enterprise integrations that matter in the real world
Enterprise platforms must fit existing operating models—especially in telcos.
Typical integration patterns include:
- ITSM workflows for requests, approvals, incident and change processes
- Identity integration for role-based access aligned to enterprise SSO
- Security telemetry forwarding for SOC/SIEM workflows
- Inventory/service mapping alignment to CMDB expectations
This makes Kubernetes operable at scale—not just deployable.
24×7 operations: what Raydian Cloud runs
Day-2 is where platforms succeed or fail. Raydian Cloud’s managed operations typically include:
- Lifecycle management: patching, upgrades, version planning, validation gates
- Reliability practices: SLO-driven alerting, incident response, postmortems
- Security operations: access reviews, drift review cadence, vulnerability posture
- Capacity & performance: utilization reviews, scaling plans, optimization
- FinOps reporting: consumption visibility by tenant/team (showback/chargeback-ready)
A fast, low-risk delivery plan
Phase 1 — Blueprint (2–4 weeks)
Define use cases, tenant model, governance, and integration requirements.
Phase 2 — Pilot (4–8 weeks)
Deliver the initial governed platform, onboard 1–2 tenants, validate workflows, establish observability + runbooks.
Phase 3 — Scale (8–16 weeks)
Expand to a fleet model, harden operations, implement showback/chargeback reporting, and operationalize 24×7 cadence.
From Kubernetes clusters to an enterprise cloud platform
In enterprise cloud environments, success with Kubernetes is defined by consistency, governance, and operational maturity—not just initial deployment. Raydian Cloud helps organizations turn Kubernetes into a repeatable platform that can be consumed safely by multiple teams, across multiple environments (on-prem and cloud), with clear accountability and measurable outcomes.
Our focus:
- Standardization at scale to reduce fragmentation and risk
- Governed self-service to accelerate adoption without losing control
- Operational excellence (Day-2 readiness) with 24×7 processes and reporting
- Security and compliance built in through auditability and policy enforcement
- Efficiency for high-cost GPU estates via utilization visibility and controls
With a proven platform layer (such as Rafay) plus Raydian Cloud’s delivery and managed operations, enterprises move faster—without compromising governance or resilience.
Call to action
If you’re building an enterprise GPU platform on Kubernetes—internal enablement or GPU-as-a-Service—Raydian Cloud can help you move from blueprint to production with governed self-service, enterprise integrations, and 24×7 operations.