{"id":8363,"date":"2026-04-29T13:37:50","date_gmt":"2026-04-29T13:37:50","guid":{"rendered":"https:\/\/openzeka.com\/en\/?page_id=8363"},"modified":"2026-05-12T11:09:51","modified_gmt":"2026-05-12T11:09:51","slug":"custom-clusters","status":"publish","type":"page","link":"https:\/\/openzeka.com\/en\/custom-clusters\/","title":{"rendered":"Custom Clusters"},"content":{"rendered":"

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

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

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

We design and deploy fully redundant AI clusters, including compute, storage, networking, orchestration, and performance tuning, as a unified production-ready system.<\/p>\n<\/div>

Schedule Architecture Session<\/span><\/a><\/div><\/div><\/div><\/div><\/div>

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

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

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Physical Deployment<\/strong><\/h1><\/div>

Precision rack installation covering compute, storage, head nodes, and redundant switching, with labeling, airflow, and power planning.<\/p>\n<\/div><\/div><\/div>

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Cabling & Optics<\/strong><\/h1><\/div>

Port-mapped cabling design across all networks, with validated transceiver selection aligned to bandwidth, latency, and topology requirements.<\/p>\n<\/div><\/div><\/div>

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Network Fabric<\/strong><\/h1><\/div>

Redundant leaf-spine or MLAG fabric design and configuration, with InfiniBand or RoCE enablement including MTU tuning and RDMA validation.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

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Firmware & Drivers<\/strong><\/h1><\/div>

Unified firmware and OS baseline across all components, with validated driver stack aligned for GPU, fabric, and storage.<\/p>\n<\/div><\/div><\/div>

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

Deployment of NVIDIA Base Command Manager (BCM) and centralized cluster management platforms, including access, provisioning, monitoring, and high availability.<\/p>\n<\/div><\/div><\/div>

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Orchestration & Scheduling<\/strong><\/h1><\/div>

Production-ready Kubernetes, OpenShift, or Slurm deployment with Run:ai integration, including scheduling and GPU optimization.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

Blueprint-Driven<\/p>\n<\/div>

Architectural Integrity<\/h2>\n<\/div>

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

We do not assemble clusters component by component.
\nWe design them using a blueprint-driven architecture model
\ninspired by proven BasePOD and SuperPOD principles.<\/p>\n

Every deployment follows a layered, validated framework
\nwhere compute, high-speed fabric, storage, and control
\nplane are engineered as a unified system \u2014 not isolated
\nparts.<\/p>\n

This approach eliminates architectural bottlenecks before
\nthey appear and ensures predictable scalability from day
\none.<\/p>\n<\/div><\/div><\/div>

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