Question 1

What is an AI inference engine?

Accepted Answer

An AI inference engine is the runtime system responsible for executing trained models and generating outputs from user inputs. It handles tasks such as model loading, request processing, GPU scheduling, and response generation. Inference engines are designed to deliver low-latency responses while efficiently utilizing GPU resources for large-scale AI workloads.

Question 2

How do developers deploy AI models for inference?

Accepted Answer

Developers typically deploy AI models through APIs provided by an inference platform. After selecting a model, they can access it via REST or SDK-based APIs to process requests such as text prompts, images, or audio inputs. Inference platforms manage scaling, GPU allocation, and request routing behind the scenes.

Question 3

What models can run on GMI Cloud's inference engine?

Accepted Answer

GMI Cloud supports a wide range of production-ready AI models including open-source and proprietary models. This includes large language models, image generation models, video models, and multimodal systems. Developers can explore available models in the model library and deploy them through a consistent API interface.

Question 4

What is the difference between serverless inference and dedicated endpoints?

Accepted Answer

Serverless inference allows developers to run AI models without managing infrastructure. The platform automatically allocates GPU resources and scales based on demand. Dedicated endpoints provide reserved compute resources for consistent performance, making them suitable for production workloads with predictable traffic or strict latency requirements.

Question 5

How does an inference engine reduce latency for AI applications?

Accepted Answer

Inference engines optimize performance through GPU scheduling, efficient model execution, and distributed request handling. By running models closer to users and optimizing GPU utilization, inference platforms can significantly reduce response time compared with general-purpose cloud deployments.

統一的 AI 推理平台

一套推理引擎平台多種執行模式

統一執行層

可擴展編排能力

API 控制能力

可投入實際應用的 AI 模型

靈活的 AI 推理部署方式

模型即服務（MaaS）

模型微調

無伺服器 (Serverless) 與專屬端點 (Dedicated Endpoints)

深受頂尖 AI 團隊信賴

常見問題與技術支援

快速啟用模型，隨需求自由擴展