Own your AI compute. We source, configure and deliver GPU servers and full enterprise hardware — so your models and data stay on your hardware, not someone else's cloud.
Maintain data residency and regulatory compliance with localized private AI deployments tailored to emerging-market requirements.
From optics to rack cabinets, we manage the entire bill of materials so deployments land with zero missing parts and zero delay.
A senior AI/ML engineering team alongside distribution: GPU infrastructure sized for the models you actually run.
Validated architectures with real budgets, from a desk to a data hall. Every GPU order is export-screened.
DGX Spark for development, one H200 NVL inference node, RAG tier. The smallest credible private-AI footprint.
View architecture →Four GPU nodes on a 400G fabric — production serving for 70–180B models, deployable in weeks on PCIe.
View architecture →HGX-class nodes on InfiniBand with flash storage and liquid cooling — honest allocation lead times.
View architecture →
Alongside factory orders, popular positions are typically available from stock in Hong Kong and Dubai — request a current list for firm pricing and lead times.
Vendor-neutral guides on AI infrastructure, procurement and the IT channel — the reference our buyers actually use.
The TCO math, payback windows and the break-even point for GPU ownership.
Real budgets: inference nodes, clusters, networking and the line items teams forget.
H200 NVL, DGX Spark, B300 — availability, allocation and screening, explained.
Memory, bandwidth and the right GPU for training versus inference.
PCIe vs HGX, sizing by workload, and how to avoid the wrong tier.
How nodes, fabric, storage and cooling fit together — from pod to data hall.
Send part numbers — we reply with availability, pricing and delivered lead time within one business day.