Gorilla has signed a five-year AI GPUaaS compute contract projected to generate approximately $2.5 billion in revenue, with the deployment hosted at NeutraDC’s Batam data center in Indonesia for a global technology customer. The first phase involves about 1,000 B300 GPU servers and is anticipated to produce around $1.3 billion over the five years, with deployment scheduled for September and December 2026. This initiative comes as part of Gorilla’s efforts to enhance AI infrastructure collaborations in Asia, amid increasing regional demand for AI-capable data centers. The company has also received debt financing offers covering about 70% of expected project costs, a common practice for firms in the sector to manage substantial upfront investments.

Gorilla: Gorilla Technology Group Inc. (NASDAQ: GRRR) is a global provider of AI-driven solutions in security intelligence, network intelligence, business intelligence, IoT, and data centers, with a focus on the Asia-Pacific region. The company recently expanded its AI infrastructure capabilities through capacity agreements and strategic partnerships. In this news, Gorilla signed the major GPUaaS contract and will utilize NeutraDC’s Batam facility to host the deployment for its technology customer.
NeutraDC: NeutraDC operates AI-ready data centers in Indonesia, including the Nxera Batam site, supporting cloud, GPU workloads, and regional digital infrastructure needs. It is expanding capacity and forming partnerships to enhance connectivity across Southeast Asia and beyond. In this news, NeutraDC’s Batam data center will host Phase 1 of Gorilla’s AI GPU server deployment starting later in 2026.

Sector Financing: Firms developing large-scale AI compute projects commonly access debt financing to cover significant portions of upfront costs.
Strategic Partnerships: Gorilla has been advancing AI infrastructure collaborations across Asia, including capacity agreements and deals with technology providers.
Infrastructure Expansion: Indonesia is seeing strong growth in AI-ready data center capacity as part of broader regional demand for GPU and cloud infrastructure.