Aolani, a Singapore-founded neocloud, has announced the launch of the Aolani Token Factory, a managed inference platform that enables organizations to deploy and scale AI models on a pay-per-token basis without provisioning or managing underlying GPU infrastructure. This move positions Aolani as the first Singapore-founded neocloud to offer production-grade managed inference at scale, according to the company's press release.
The launch comes as global AI companies expand operations in Singapore and enterprises worldwide invest heavily in AI to drive business outcomes. The demand for production-grade inference infrastructure is accelerating rapidly, yet many organizations face accessibility barriers due to the capital-intensive nature of GPU infrastructure. The Aolani Token Factory aims to bridge this gap by offering a highly compliant and high-performance path from AI experimentation to production-scale deployment.
The platform operates on a per-token metering model, where customers pre-purchase credits and pay based on token consumption. This eliminates the need for upfront capital investment in GPU hardware. Aolani manages the entire inference stack—including GPU capacity allocation, model serving, orchestration, scheduling, and workload optimization—allowing customers to scale consumption seamlessly without continuously provisioning additional infrastructure.
At launch, the Aolani Token Factory supports leading open-source models such as DeepSeek, GLM, Kimi, and Qwen, with plans to expand the catalog based on customer demand. Customers can also deploy their own models through OpenAI-compatible APIs. For enterprise clients with strict compliance and data residency requirements, dedicated capacity and data isolation options are available.
The platform targets three core production 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, emphasized the platform's high-performance inference stack and fast model adaptation capabilities, stating, "As Southeast Asia's AI ecosystem evolves, it is our goal to ensure the infrastructure serving it keeps pace."
Nicholas Chia, CEO of Aolani, highlighted the strategic significance: "Fast-moving AI natives want to build and ship products flexibly and on-demand, without the need to manage GPU fleets. With 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." He added that this milestone will fundamentally change how customers access AI compute.
The launch reflects a broader trend toward democratizing AI infrastructure, enabling smaller firms and startups to leverage advanced AI models without prohibitive costs. By removing infrastructure management burdens, Aolani Token Factory could accelerate AI adoption across Asia, fostering innovation in a region poised for significant AI growth.
Interested parties can register interest at https://www.aolanicloud.com/services/token-factory. Aolani, founded in 2023 and headquartered in Singapore, is backed by purpose-built infrastructure and aims to deliver performance capabilities for next-generation AI, positioning itself as a key player in Asia's AI market.
