Article
Cisco AI PODs: From Workload to Production Infrastructure
Separate training, fine-tuning and inference requirements, and evaluate UCS, GPUs, frontend/backend fabrics, storage and management against Cisco validated architectures.
Data Center Solutions
Data Center, Cloud & AI
Run workloads on infrastructure aligned with capacity, continuity and security goals.
Overview
Server, storage, network and virtualisation layers are assessed alongside application dependencies. Resource consumption, growth expectations and recovery objectives inform the design. A transition plan integrates new capacity with existing operations.
Select infrastructure from workload requirements
Compute, networking and storage design should follow workload capacity and access requirements. Assess applications, data growth, backup dependencies and administrative boundaries before building a product list. Enterprise AI requirements add GPU resources, data access and model lifecycle considerations. The AI POD drawing below is a specific published Cisco reference architecture, not a mandatory component list for every data centre. Establish design and migration decisions with the organisation’s actual workloads and operations team.
Cisco AI POD: frontend and backend fabrics
Select nodes to read their roles; zoom or enter full screen to follow the connections.
- Backend fabric (E-W)
- Frontend / storage (N-S)
- ND bağlantıları / ND connections
Explore the diagram
Select a node to read its role. Drag to pan or use the buttons to zoom.
The August 2026 inference reference keeps separate backend and frontend fabrics. First and N compute nodes, management cluster and storage modules follow the illustrated scope; intermediate nodes remain an ellipsis. This is not a universal hardware recipe for all AI POD variants. Backend connectivity is represented at compute-group scope; individual NIC/port assignments are not inferred from the first/N icons.
Controlled transition
Inventory and application dependencies establish the baseline. Architecture, capacity expectations and security rules are clarified with the relevant teams. Pilot scope, acceptance criteria and rollback steps are documented before implementation. Migration waves follow business impact; each wave compares essential access, critical application flows and monitoring evidence.
Handover and operations
Topology, configuration ownership and maintenance procedures belong in the handover. Monitoring and escalation follow the organisation’s operating model. Product and service scope is clarified through discovery; support levels are agreed contractually. Share your requirements with Trustnet to assess practical options for your existing infrastructure.
Technology Partners
All technology partners
Services
Consulting and Assessment
We assess your existing infrastructure and business requirements, recommend suitable technology and support optimization and implementation. Our consultancy covers networks, data centers, unified communications, security and network optimization.
Architecture Design
We plan, implement and commission network, server and security infrastructure. Scope includes data centers, virtualization, storage, backup and disaster recovery, with handover and ongoing management where agreed.
Deployment and Integration
We address network, system and security deployment from site readiness through controlled transition and operational handover.
