Division 01 · AI Infrastructure
Space, power, cooling and accelerators for workloads that ordinary hosting was never designed to carry — deployed in Malaysia, on infrastructure you can point at.
Services
Four levels of the same stack. Customers enter at whichever one matches how much of it they want to own.
Level 01 · You own the hardware
Rack space engineered for the power draw and heat rejection that accelerated hardware actually produces, rather than the per-rack envelope general-purpose hosting was built around.
Level 02 · We own the hardware
Accelerated capacity as a service — bare metal for teams that want the whole machine, or scheduled cluster access for teams that want the throughput without the asset on their balance sheet.
Level 03 · We run the model
Managed endpoints for models in production, sized for latency and concurrency rather than raw throughput, and located close to the users and systems that call them.
Level 04 · We sell the output
The whole facility understood as a production line whose output is tokens. You buy generated output at a metered rate; the hardware, the utilisation and the operational risk stay ours.
Position
For a large share of the workloads we are asked about, the deciding constraint is not price per GPU-hour. It is that regulated data — financial records, health records, government data, anything with a residency clause attached — cannot leave the country, and frequently cannot sit on infrastructure operated under a foreign legal regime.
That is the market we are built for. Physical infrastructure in Malaysia, operated by a Malaysian company, reachable over the same carrier circuits we already provide, with a contract and an escalation path in the same jurisdiction as the customer.
The second constraint is latency. A model served from another region carries a round trip that shows up in every interactive request. For applications where a person is waiting, proximity is not a technicality — it is the difference between a feature people use and one they abandon.
Workloads and data stay in-country by default. Where they may move, it is stated in the contract, not buried in a policy page.
Where isolation is a requirement rather than a preference, the hardware is not shared.
Customer data and prompts are not used to train anything. Weights supplied to us remain yours.
The circuit feeding the workload is sized alongside the workload, by the same people.
Capacity, honestly
AI infrastructure attracts inflated claims — megawatts that are planned rather than energised, GPU counts that are on order rather than racked, and availability figures with no measurement behind them. It is an easy thing to do and it fails on the first serious workload.
So this page describes what we deliver, not how much of it exists at this moment. Ask us for a specific configuration and we will tell you what is live, what is committed, what the lead time is, and what we cannot do — in writing, with dates.
If a comparable operator will not do the same, that itself is information.
Operations
A GPU that has thermally throttled still reports as healthy. A node with correctable memory errors keeps serving until it does not. A fabric link that has degraded to a fraction of its rate slows an entire distributed job without raising a single alarm on a conventional monitoring stack.
We instrument at the level the hardware actually fails at — per-device thermals and power, memory error counters, interconnect health, and utilisation against what is being billed. Customers see what their own workloads did, not a green tick.
Temperature, power draw, clock behaviour and memory health, sampled continuously rather than polled when someone complains.
What you are billed for is reported against what was measured, per workload and per period.
Failures are tracked against the physical unit across its life, so a repeatedly marginal card is retired rather than recycled into the pool.
Incidents come with what happened, when, and what changed afterwards.
Next step
Tell us what you are trying to run and what constrains where it can run. We will come back with a specific configuration, a lead time, and the parts we cannot cover.
Office
Unit 2-13A, Bangunan Perdagangan D7