01
Requirements and BOM
Model size, throughput, growth and power constraints translated into a defensible bill of materials.
Solution · AI Infrastructure
AI infrastructure, specified and operated for sovereignty
Private GPU servers, cluster design and lifecycle operations — in your facility or an in-country colocation.
REF · SC-2026-AIS
Scope · Specify · Build · Operate Hardware · Vendor-neutral Deployment · On-prem / in-country Ownership · Customer-controlled
Solution · AI Infrastructure
The hardware layer, on your side of the boundary
A private AI cluster is not a shopping list of GPUs. It is power, cooling, fabric, storage, scheduling and a support model that survives the first hardware failure. We design the whole stack and stay accountable for it.
For institutions that need the hardware layer under their own control, we specify, build and operate the cluster without locking you to a single server vendor.
- Vendor-neutral specification across compute, networking and storage.
- Design reviews that cover power, cooling, rack density and failure domains.
- Deployment, burn-in and acceptance testing before hand-over.
- Operate it yourself or contract Bijak Cloud for lifecycle operations.
Capabilities
What the engagement covers
From the first requirements workshop to the operating runbook your team inherits.
02
Cluster architecture
GPU topology, storage tiering, management network and tenant isolation designed as one system.
03
Facility readiness
Rack, power, cooling and cabling requirements reviewed with your facility or colocation partner.
04
Deployment and burn-in
Installation, firmware baseline, stress testing and acceptance evidence before production traffic.
05
Scheduling layer
Kubernetes or Slurm, GPU sharing policy, quotas and image governance configured to your operating model.
06
Lifecycle operations
Patching, capacity reviews, incident runbooks and hardware replacement coordination under an agreed support model.
Process
How a private cluster lands
A gated delivery path with a documented decision and acceptance gate at every stage.
- 01
Assess
Workloads, data sensitivity, facility constraints and operating ownership are documented before any hardware is selected.
- 02
Design
Produce the reference architecture, BOM, power and cooling plan, and a failure-domain review.
- 03
Build
Procure, rack, cable, install the software baseline and run burn-in against acceptance criteria.
- 04
Commission
Validate performance and isolation, transfer runbooks and train the operating team.
- 05
Operate
Your team runs the cluster, or Bijak Cloud operates it under a defined support schedule.
Use cases
Where private infrastructure fits
Patterns for teams whose data, latency or facility constraints rule out a purely public deployment.
On-premises regulated AI
Keep training data and model artefacts inside an existing controlled facility.
Hybrid inference
Run sensitive inference on private GPUs and burst non-sensitive work to the sovereign cloud.
Research clusters
Shared GPU capacity for universities and research institutes with quotas and fair-share scheduling.
Edge inference
Place small GPU nodes close to the data source when round-trip latency or connectivity is the constraint.
Controls
Sovereignty controls
Controls that apply whether the cluster sits in your data centre or an in-country colocation.
Customer-held control
You retain administrative control of the cluster, encryption keys and model artefacts.
In-country by design
Deployments are designed to remain within Malaysian jurisdiction; remote support access is auditable and revocable.
PDPA 2010 alignment
Access, retention and deletion procedures are mapped to Akta 709 obligations.
Immutable audit logs
Administrative and workload events are recorded locally and can be forwarded to your SIEM.
FAQ
Questions about private infrastructure
Do you resell a specific server brand?
No. We specify against your workload and facility constraints across qualified server, networking and storage options, then document why each component was selected. You are not locked to a single vendor.
Can you work with our existing colocation provider?
Yes. We review the facility’s power, cooling, rack and network readiness with your provider and design the cluster around the constraints we find.
Who owns the hardware and the models?
Ownership is set in the contract. In a typical engagement the institution owns the hardware and all model artefacts; Bijak Cloud provides design, deployment and optional operations.
What happens when a GPU fails?
The support model defines the replacement path and escalation route. We coordinate the vendor case and, where the contract includes operations, run the incident until the node is restored.
Solution · AI Infrastructure
Bring your infrastructure constraints
Share the facility, workload and ownership model. We will return a reference architecture and a vendor-neutral BOM.
Quotes are itemised by configuration, term and support. No fixed list price is published.