Indosat Launches Zankore AI Factory Platform With NVIDIA and Nokia

Indosat Ooredoo Hutchison has launched Zankore by Indosat, positioning the platform as next-generation AI factory infrastructure for Asia-Pacific with Indonesia as the launchpad. Partners include Ooredoo Group as lead investor and sponsor, NVIDIA for accelerated computing, and Nokia for AI-native networking. The ambition is on the order of one gigawatt of NVIDIA DSX capacity over time, with roughly 200 megawatts targeted in the first half of 2027 on GB300 NVL72 systems.

Filed under Infrastructure and dated September 10, 2026, this AI4Indonesia briefing treats vendor capacity claims as directional. Power, cooling, and networking will decide how much of the advertised compute becomes usable. Still, the announcement matters because Indonesian enterprises have lagged Singapore and Malaysia in dense local AI capacity even as Jakarta pushes digital programmes.

Why it matters: banks, logistics firms, ministries, and digital-trade platforms near Jakarta need predictable latency and clearer data-residency options. A domestic AI factory narrative also intersects with draft presidential regulation language about embedding AI in priority programmes and exploring a sovereign AI fund via Danantara. Capacity without skills and governance will not move GDP forecasts.

What it means in practice

Indonesian operators should not wait for a full gigawatt. Pick one workflow with measurable delay or error; confirm lawful data access; assign a human owner; run a time-boxed pilot on whatever secure capacity is available now; and publish honest metrics. Prefer contracts that specify export rights, logging, and service levels. Align with Indonesian privacy and labour expectations.

Workers deserve clarity on training and override rights. Tools that only intensify monitoring will fail trust tests in Indonesian workplaces. AI4Indonesia will keep underscoring that point.

What to watch next: firm 2027 megawatt deliveries; power-optimisation claims such as MaxLPS; and whether public programmes publish measurable AI outcomes rather than slideware. Readers can continue on the AI4Indonesia homepage for related stories, or browse the Newsroom for additional briefings.

Bottom line: treat this update as orientation, not instruction. AI infrastructure activity in Indonesia is real, uneven, and still early. Organizations that benefit most will test tools on Indonesian problems they already understand, measure honestly, and keep people responsible for outcomes.