{"id":9259,"date":"2026-10-02T06:58:21","date_gmt":"2026-10-02T06:58:21","guid":{"rendered":"https:\/\/openzeka.com\/en\/?page_id=9259"},"modified":"2026-10-02T07:00:03","modified_gmt":"2026-10-02T07:00:03","slug":"end-to-end-ai-infrastructure-setup","status":"publish","type":"page","link":"https:\/\/openzeka.com\/en\/end-to-end-ai-infrastructure-setup\/","title":{"rendered":"End-to-End AI Infrastructure Setup"},"content":{"rendered":"

Enterprise-Ready<\/span><\/a><\/div>

End-to-End AI Cluster Setup and Deployment<\/h1><\/div>

From Bare Metal to a Production-Ready Cluster<\/strong><\/p>\n

We design and deploy fully redundant AI clusters as unified, production-ready systems, covering compute, storage, networking, orchestration, and performance optimization.<\/p>\n<\/div>

Schedule an Architecture Consultation<\/span><\/a><\/div><\/div><\/div><\/div><\/div>

Capabilities<\/p>\n<\/div>

What We Offer<\/p>\n<\/div><\/div><\/div>

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Physical Installation<\/h1><\/div>

We perform precision rack installation covering compute, storage, head nodes, and redundant switches, while fully managing labeling, airflow, and power planning.<\/p>\n<\/div><\/div><\/div>

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Cabling and Optical Components<\/h1><\/div>

We design port-mapped cabling across all networks and ensure validated transceiver selection based on bandwidth, latency, and topology requirements.<\/p>\n<\/div><\/div><\/div>

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Network Infrastructure<\/h1><\/div>

We design and configure redundant leaf-spine or MLAG network architectures, enable InfiniBand or RoCE support, optimize MTU settings, and perform RDMA validation.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

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Firmware and Drivers<\/h1><\/div>

We establish a unified firmware and operating system standard across all components and configure a validated driver stack compatible with GPUs, networking, and storage.<\/p>\n<\/div><\/div><\/div>

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Cluster Management<\/h1><\/div>

We deploy NVIDIA Base Command Manager (BCM) and centralized cluster management platforms, centrally managing access, provisioning, monitoring, and high-availability processes.<\/p>\n<\/div><\/div><\/div>

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Orchestration and Scheduling<\/h1><\/div>

We deploy production-ready clusters based on Kubernetes, OpenShift, or Slurm with Run:ai integration, enabling efficient workload scheduling and GPU optimization.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

Based on Architectural Plans<\/p>\n<\/div>

Architectural Integrity<\/strong><\/p>\n<\/div>

SCALABLE DESIGN INSPIRED BY NVIDIA BASEPOD AND SUPERPOD REFERENCE ARCHITECTURES.<\/strong><\/p>\n

We don\u2019t build clusters by simply assembling individual components. We design them using a blueprint-driven architectural model inspired by proven BasePOD and SuperPOD principles.<\/p>\n

Every deployment follows a layered and validated framework in which compute, high-speed networking, storage, and the control plane are designed as a unified system rather than as independent components.<\/p>\n

This approach eliminates architectural bottlenecks before they arise and ensures predictable scalability from day one.<\/p>\n<\/div><\/div><\/div>

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