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 without managing GPU infrastructure. This move positions Aolani as the first Singapore-founded neocloud to offer production-grade, managed inference at scale.
The launch comes as global AI companies expand into Singapore and enterprises worldwide invest in AI to drive business outcomes, accelerating demand for production-grade inference infrastructure. The Aolani Token Factory aims to close the accessibility gap by providing a compliant and high-performance path from AI experimentation to production-scale deployment.
With per-token metering, customers can pre-purchase credits and pay based on token consumption, avoiding capital-intensive GPU investments. Aolani manages the entire inference stack, including GPU capacity allocation, model serving, orchestration, scheduling, and workload optimization, enabling customers to scale without provisioning additional infrastructure.
The platform supports leading open-source models at launch, including DeepSeek, GLM, Kimi, and Qwen, with plans to expand the model catalog based on demand. Customers can also deploy their own models through OpenAI-compatible APIs. For enterprises with strict compliance and data residency requirements, dedicated capacity and data isolation options are available.
The Aolani Token Factory will support three core use cases: AI agents for high-volume inference and workflow automation, enterprise AI applications like internal copilots and knowledge assistants, and coding agents for code generation and review.
Sea Xu, Applied AI Research Lead at Aolani, said: "The Aolani Token Factory is built on a high-performance inference stack that supports the most in-demand open-source model families. We designed the platform for fast model adaptation and deployment, so our customers can get access quickly as new models emerge. As Southeast Asia's AI ecosystem evolves and grows rapidly, it is our goal to ensure that the infrastructure serving it keeps pace."
Nicholas Chia, Chief Executive Officer at Aolani, added: "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 a fully managed stack, companies can go from model selection to production deployment without the capital outlay or operational complexity of self-managed infrastructure. This is a significant milestone for us and our customers as the Aolani Token Factory will fundamentally change how customers access AI compute."
Interested parties can register their interest at Aolani Token Factory. For more information about Aolani, visit Aolani's website or follow them on LinkedIn.
