GMI Cloud provides high-performance GPU cloud infrastructure for developers and enterprises aiming to build and scale generative AI applications. With its cutting-edge resources and streamlined user experience, GMI Cloud supports everything from training to deployment of complex machine learning models on powerful, globally distributed GPUs.

Key Features of GMI Cloud

1. GPU Instances:

   • Access the latest GPUs, such as NVIDIA H100 and H200, available both on-demand or as a private cloud.
   • Flexible Scalability: Grow from a single GPU to a full SuperPOD as your needs increase.

2. Cluster Engine:

   • Kubernetes-Based Management: Simplify GPU allocation, deployment, and monitoring with advanced orchestration.
   • Dynamic Workload Management: Optimize GPU resources using multi-cluster setups and automated workload balancing.

3. Application Platform:

   • Customizable Development Environment: Use APIs, SDKs, and Jupyter notebooks to accelerate AI development.
   • High-Performance Inference: Mount various data storage options and deploy models quickly for real-time applications.

Why GMI Cloud?

• Fast Deployment: Instant spin-up of GPU instances, allowing you to begin work in milliseconds.
• Flexible Environment: Choose pre-configured containers or integrate your own to reduce setup time and increase compatibility with your existing workflows.
• Comprehensive Management Tools: Enterprise-grade visibility and security with tools for efficient infrastructure monitoring and user management.
• Global Reach: Low-latency access through data centers worldwide, catering to diverse geographic needs.
• Early Access to Latest GPUs: GMI's supply chain ensures you get the newest GPU technologies up to 16 weeks before other providers.