Leverage pre-built AI models for fast, scalable GPU-powered inference. Accelerate development, reduce compute costs, and build with proven, high-performance architectures.
Stay ahead of demand with intelligent auto-scaling on our on-demand GPU cloud. Maintain peak performance, minimize latency, and optimize resource allocation — all in real time, without manual intervention.
Automatically distribute inference workloads across our cluster engine to ensure high performance, stable throughput, and ultra-low latency — even at scale.
Optimize cost and control with flexible deployment models on our cost-effective GPU cloud — built to balance performance and efficiency at every scale.
Get Started NowLaunch AI models in minutes, not weeks. Pre-built templates and automated workflows eliminate configuration headaches — just choose your model and run it on our inference engine to scale instantly.
Get Started Now자주 묻는 질문에 대한 빠른 답변을 저희 사이트에서 확인하세요 자주 묻는 질문.
The GMI Cloud Inference Engine is a platform purpose-built for real-time AI inference that lets you deploy leading open-source models such as DeepSeek V3.1 and Llama 4 on dedicated endpoints with a focus on performance and reliability. We also support dedicated endpoints for teams that want us to host their models for them.
With our simple API and SDK, models can be launched in minutes, avoiding heavy configuration and enabling instant scaling once you select your model.
우리는 pip와 conda를 사용하여 고도로 사용자 정의 가능한 환경을 갖춘 텐서플로우, 파이토치, 케라스, 카페, MXNet 및 ONNX를 지원합니다.
The Inference Engine uses intelligent auto-scaling that adapts in real time to demand, maintaining stable throughput, ultra-low latency and consistent performance without manual intervention.
Yes. Real-time performance monitoring and resource visibility are included to keep operations smooth and provide proactive support when needed.