Aolani Launches Token Factory to Democratize AI Inference with Pay-Per-Token Model in Asia

Aolani's new managed inference platform offers pay-per-token AI deployment, aiming to reduce infrastructure barriers and accelerate AI adoption in Asia.

Bay Area Metrowire Staff
Technology

Singapore-based neocloud Aolani has announced the launch of the Aolani Token Factory, a managed inference platform that lets organizations 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, addressing the growing demand for efficient AI deployment as companies worldwide invest in AI for business outcomes.

The platform is designed to close the accessibility gap between AI experimentation and production-scale deployment. By offering per-token metering with pre-purchased credits, customers avoid capital-intensive GPU investments. Aolani manages the entire inference stack, including GPU allocation, model serving, orchestration, scheduling, and workload optimization, allowing clients to scale consumption without provisioning additional hardware.

At launch, the Token Factory supports leading open-source models such as DeepSeek, GLM, Kimi, and Qwen, with plans to expand based on demand. Customers can also deploy custom models via OpenAI-compatible APIs. For enterprises with strict compliance and data residency needs, dedicated capacity and data isolation options are available.

The platform targets three core use cases: AI agents for high-volume inference and workflow automation, enterprise applications like internal copilots and knowledge assistants, and coding agents for code generation and review. This versatility aims to cater to the diverse needs of AI-native companies and traditional enterprises alike.

Sea Xu, Applied AI Research Lead at Aolani, emphasized the platform's high-performance inference stack and fast model adaptation, ensuring customers can quickly access emerging models as Southeast Asia's AI ecosystem grows. Nicholas Chia, CEO, highlighted the competitive per-token pricing and fully managed stack, which eliminate the capital outlay and operational complexity of self-managed infrastructure, fundamentally changing how customers access AI compute.

The launch comes as global AI companies expand operations in Singapore, intensifying the need for production-grade inference. Aolani's Token Factory is poised to support this growth by providing a compliant, high-performance path to scale. Interested parties can register interest at Aolani Token Factory.

This initiative underscores Aolani's commitment to empowering organizations to build and scale AI applications efficiently, aligning with its mission to be the backbone of AI development in Asia.

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