Fast multimodal-native inference at scale
GMI Cloud Console lets AI teams deploy and scale GPU clusters instantly — from single inference nodes to multi-region AI factories. Manage bare metal, containers, firewalls, and elastic IPs in one unified dashboard. Built for speed and transparency.
GMI Cloud offers production-ready APIs for LLM and multimodal models with multi-tenant isolation for predictable performance, 99.99% platform availability, and RDMA-ready networking for sustained throughput under load.
GMI Cloud provides GPU regions across North America, Europe, and Asia-Pacific with <200ms cross-region latency, SOC 2 and ISO 27001 compliance certifications, 24/7 operations support, and SLA-backed performance for mission-critical systems.
The platform enables seamless transition from serverless APIs to dedicated GPU clusters. Users start with on-demand elastic scaling and move to reserved capacity as workloads stabilize, maintaining the same stack without architectural changes.
Commitment-based pricing structures reduce unit GPU costs for long-term workloads. Usage-adaptive pricing allows flexible transitions between on-demand and committed deployments. Enterprise customers report 45% lower compute costs with 99.9% request success rates.
GMI Cloud provides serverless inference by default with automatic scaling to zero, built-in batching, and latency-aware scheduling. Users achieve 3.7x higher throughput and 30% lower cost compared to alternatives, with transparent hourly GPU pricing and no hidden fees.