An AI-native inference cloud built for production AI, combining serverless scaling and dedicated GPU infrastructure with predictable performance and cost.
Run AI models instantly with serverless inference, then scale seamlessly into dedicated GPU infrastructure as your workloads grow.
Automatic scaling to zero with no idle cost
Built-in batching and latency-aware scheduling
Production-ready APIs for LLM and multimodal models
Multi-tenant isolation for predictable performance
Built on NVIDIA Reference Platform Cloud Architecture and validated designs for performance, reliability, and scale.
Dedicated bare metal GPUs with predictable performance.
Our Cluster engine orchestrates multi-node cluster at the infrastructure layer.
Root access and custom stacks when infrastructure matters.
Transparent GPU pricing for production AI workloads across NVIDIA H100, H200, and Blackwell platforms.
Ideal for inference and training jobs needing high memory bandwidth and larger model footprints.
Optimized for training and inference at scale with strong performance, availability, and ecosystem support.
Best for teams planning large-scale deployments that require maximum performance headroom.
Real performance gains across production AI workloads.
3.7x
Higher throughput
5.1x
Faster inference
30%
Lower cost
2.3x
Faster Scaling When Demand Spikes
Based on real production inference traffic, including real-time and batch workloads, using equivalent model configurations.
Inference is serverless by default. Scaling, traffic handling, and cost optimization happen automatically, including scaling to zero.
Inference runs serverless by default, with automatic scaling, request batching, and cost-aware scheduling.
Dedicated GPU clusters with RDMA-ready networking ensure stable throughput under sustained load.
Scale from API-based inference to full GPU clusters without re-architecting your stack.
Mirelo AI chose GMI Cloud as its AI infrastructure partner to scale foundational model development with lower cost, faster iteration, and startup-friendly flexibility.
Higgsfield runs real-time generative video workloads on GMI Cloud with lower latency, lower compute cost, and production-grade reliability.
WiAdvance works with GMI Cloud to support public-sector and enterprise AI adoption in Taiwan through flexible infrastructure allocation and managed AI access.
Get quick answers to common queries in our FAQs.
