Aolani, a Singapore-founded neocloud, has announced the launch of the Aolani Token Factory, a managed inference platform that allows organizations to deploy and scale AI models on a pay-per-token basis, eliminating the need to provision or manage underlying GPU infrastructure. This move positions Aolani as the first Singapore-founded neocloud to offer production-grade, managed inference at scale, addressing the rapidly growing demand for inference infrastructure as global AI companies expand operations in Singapore and businesses worldwide invest in AI for tangible outcomes.
The Token Factory is designed to bridge the accessibility gap, providing AI-native companies and enterprises a compliant, high-performance path from experimentation to production-scale deployment. Instead of capital-intensive GPU investments, customers pre-purchase credits and pay based on token consumption. Aolani manages the entire inference stack—GPU capacity allocation, model serving, orchestration, scheduling, and workload optimization—allowing customers to scale without continuous infrastructure provisioning.
At launch, the platform supports leading open-source models including DeepSeek, GLM, Kimi, and Qwen, with plans to expand the catalog based on demand. Customers can also deploy their own models via OpenAI-compatible APIs. For enterprises with strict compliance and data residency needs, dedicated capacity and data isolation options are available.
The Token Factory targets three core use cases: AI agents for high-volume inference and workflow automation, enterprise applications like internal copilots and document intelligence, and coding agents for code generation and review. Sea Xu, Applied AI Research Lead at Aolani, emphasized the platform's high-performance inference stack and rapid model adaptation, stating, "As Southeast Asia's AI ecosystem evolves, it is our goal to ensure that the infrastructure serving it keeps pace."
Nicholas Chia, CEO of Aolani, highlighted the flexibility and cost efficiency: "Fast-moving AI natives want to build and ship products flexibly and on-demand, without the need to manage GPU fleets. With our competitive per-token pricing and fully managed stack, companies can go from model selection to production deployment without capital outlay or operational complexity."
This launch is a significant milestone for the region, as it lowers the barrier to AI adoption, enabling businesses of all sizes to leverage cutting-edge models without heavy upfront costs. By offering a pay-per-token model, Aolani is aligning AI infrastructure costs with actual usage, making AI more financially accessible. The platform's support for popular open-source models ensures that users can benefit from the latest advancements without vendor lock-in.
The implications are profound: small and medium enterprises can now compete with larger corporations by deploying AI agents and applications that were previously feasible only for those with substantial IT budgets. Moreover, the focus on compliance and data residency addresses critical concerns for Asian businesses, particularly in regulated sectors like finance and healthcare. As AI adoption accelerates across Asia, the Aolani Token Factory could play a pivotal role in driving innovation and economic growth.
To register interest, visit https://www.aolanicloud.com/services/token-factory.
