Private AI Infrastructure.
Achieve cloud-like scalability with on-premise control. We manage your AI infrastructure, so you can focus on innovation. Your data stays yours. Your Expert Partner in AI Infrastructure. AI Datacenter Engineers, a specialized team within DATAKOM SIA, empowers your enterprise with cutting-edge, private AI capabilities.
Our designs incorporate facility readiness (power and cooling), high-speed fabric topology (InfiniBand, Spectrum-X), and seamless integration of platforms like IBM WatsonX, Red Hat OpenShift, and Nutanix. We ensure data sovereignty by design. Deliverable Highlight: A comprehensive AI Infrastructure Design Blueprint, purpose-built and fully documented.
Design
Right-sized AI datacenter architecture
Build
Rapid deployment of NVIDIA DGX/MGX clusters.
Operate
24/7 managed service with
SLA-backed uptime
NVIDIA & Ecosystem Expertise
Deep specialization in NVIDIA, augmented by IBM Gold Partner status (WatsonX) and Nutanix know-how.
One-Stop Solution
Seamless Design-Build-Operate model for full lifecycle support of your on-premises AI infrastructure.
Predictable Costs
Transparent, fixed-cost SLAs for operational services, eliminating surprise cloud bills and budget overruns.
Data Sovereignty & Control
Your critical AI data and models never leave your data center, ensuring complete control and security.
Peace of Mind
Expert hands manage your infrastructure, guaranteeing uptime, performance, and security for your AI workloads.
Our comprehensive Design-Build-Operate (DBO) model delivers secure, high-performance, on-premises AI infrastructure tailored to your unique needs.
Secure & High-Performance
Turnkey NVIDIA Systems deployment and robust infrastructure designed for demanding AI workloads like LLM training and deep learning.
Predictable & Controlled
Fixed-cost SLAs for 24/7 operations and the peace of mind that comes with on-premise data control and sovereignty.
Flexible & Integrated
Choose our full DBO package or individual services. We integrate powerful hardware with robust software stacks including IBM WatsonX, Red Hat OpenShift, and Nutanix.


































We suggest a practical 4-step approach to begin your AI journey
1
Identify a Pilot Use-Case
Start with a manageable, high-value problem to demonstrate AIs impact quickly.
2
Assess Data and infrastructure Readiness
Inventory your data and compute resources. We can help asses what’s needed.
3
Leverage Our Lab to Prototype
Experiment quickly and cheaply in our lab to create a working demo with your data.
4
Plan Scale-Out
If the prototype is successful, we’ll help you plan for full-scale deployment.
One-time fee
All deliverables
4-6 weeks timeline
Our expert team will perform a comprehensive assessment of your existing infrastructure and AI workload requirements to create a custom AI datacenter design blueprint. This service delivers a detailed plan for implementing a high-performance AI infrastructure built around NVIDIA’s platform.
Read more about AI, data innovation, and industry best practices in our blog
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