Introduction to the Model-as-a-Service (MaaS) Platform

For ordinary businesses, developing foundation models requires not only powerful compute but also specialized knowledge of training, deployment, and parameter configuration. MaaS is a user-focused platform offering easy-to-use tools for developing models. It enables custom model creation, integrates applications smoothly with business systems, and lowers both the cost and complexity of adopting AI in companies.

• Integration of popular open-source models

  MaaS integrates leading open-source models, including DeepSeek and Qwen. You no longer need to build models from scratch; instead, you can simply choose suitable pre-trained models for direct application, reducing the workloads of model integration.

• Accessible resources, pay-per-use billing, scalability, fast fault recovery, and resumable training

  Businesses using foundation models must evaluate both performance and real-world accuracy and costs.

  MaaS delivers flexible model development tools to enable effective integration of these models into customer operations.

  It provides a flexible cost-effective resource allocation plan with pay-per-use billing and scalability, effectively avoiding resource idle time and waste, and reducing the barriers to entry into the AI field.

  The architecture emphasizes high availability, with multiple data center deployments ensuring data and task backups. Even in the event of a failure, it seamlessly switches to a standby system, ensuring uninterrupted model training and protecting long-term projects from time and resource losses, thereby ensuring progress and returns.

• Application development, helping you build applications quickly

  In enterprises, complex tasks at the project level often require understanding the task, breaking it down into multiple questions for decision-making, and then calling multiple subsystems to execute. MaaS, leveraging high-quality open-source models, offers premium prompt templates. This enables accurate understanding of business intent, task decomposition, and the development of diverse solutions, helping enterprises quickly and intelligently build and deploy LLM-powered applications.