GMI Cloud
GMI Cloud provides a unified AI cloud platform for compute, inference, and AI agents, built on NVIDIA Reference Platform Cloud Architecture. The platform offers serverless inference by default with automatic scaling to zero, plus dedicated bare-metal GPU clusters with RDMA-ready networking and root access. Transparent per-GPU-hour pricing starts at $2.60 for NVIDIA H100 and $3.20 for H200, with Blackwell available for pre-order.
- Artificial Intelligence
- Developer Tools
- Software Only
- AI Agents
Funding
Raised to date
$238MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
AHAKI+4$223M · Series B
Announced Sep 2026 · from article date
Disclosed cumulative: $238M
Founders
Founder details are not available yet.
Product
Problem
Running AI models in production requires specialized infrastructure that differs from traditional cloud workloads, including high-performance GPUs, optimized model serving engines, and efficient scheduling to reduce latency and cost. General-purpose cloud environments often lead to poor GPU utilization, unpredictable latency, and expensive idle compute, making it difficult for teams to scale AI applications reliably and cost-effectively.
Solution
GMI Cloud provides a unified AI cloud platform for compute, inference, and AI agents, built on NVIDIA Reference Platform Cloud Architecture. The platform offers serverless inference by default, with automatic scaling, request batching, and cost-aware scheduling that scales to zero when demand drops, eliminating idle costs. Teams can start with serverless APIs and seamlessly scale into dedicated bare-metal GPU clusters with RDMA-ready networking and root access without re-architecting their stack. The platform supports a wide range of workloads including LLMs, image, video, and audio models, with production-ready APIs and multi-tenant isolation for predictable performance.
Target Audience
Primary customers are AI teams and enterprises deploying production workloads, including startups scaling foundational models, companies running real-time generative video, and system integrators supporting public-sector and enterprise AI adoption.
Features
- Serverless inference with automatic scaling to zero, built-in batching, and latency-aware scheduling
- Dedicated bare-metal GPU clusters with RDMA-ready networking and root access for custom stacks
- Transparent per-GPU-hour pricing for NVIDIA H100 ($2.60/hr) and H200 ($3.20/hr), with Blackwell pre-order
- Multi-tenant isolation for predictable performance under sustained load
- Production-ready APIs for LLM and multimodal models, with a model library and Studio for deployment
- Cluster engine orchestrates multi-node clusters at the infrastructure layer