GMI Cloud

What GMI Cloud does

GMI Cloud provides an AI-native inference cloud built for production AI, offering serverless scaling and dedicated GPU infrastructure with predictable performance and cost. They deliver seamless access to top-tier GPUs and a streamlined ML/LLM software platform for integration, virtualization, and deployment. The company's mission is to empower anyone to deploy and scale AI effortlessly, serving businesses globally with infrastructure to fuel innovation, accelerate AI and machine learning, and redefine possibilities in the cloud. Their full-stack platform includes an inference layer, orchestration layer, compute layer, and hardware layer, supporting AI developers, engineers, and enterprise AI teams.

Products

• Serverless InferenceRun AI models instantly with serverless inference, featuring automatic scaling to zero with no idle cost, built-in batching, latency-aware scheduling, and production-ready APIs for LLM and multimodal models.
• Dedicated GPU InfrastructureBare metal GPUs with predictable performance, root access, and custom stacks, orchestrated by a Cluster engine for multi-node clusters. Available with NVIDIA H100, H200, Blackwell, GB200, and B200 GPUs.
• Inference EngineProduction-grade inference infrastructure optimized for low latency and cost across LLM and multimodal workloads, with automatic scaling, request batching, and cost-aware scheduling.
• Cluster EngineDedicated GPU clusters for large-scale training and sustained compute workloads, orchestrating multi-node clusters at the infrastructure layer.
• GMI StudioWorkflow and deployment tools for visual workflows.

Key capabilities

• AI-native inference cloud
• Serverless scaling
• Dedicated GPU infrastructure
• Predictable performance and cost
• 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
• Root access and custom stacks
• Transparent GPU pricing
• Support for NVIDIA H100, H200, Blackwell, GB200, GB300, B200 GPUs
• Inference-first by design
• Performance at scale with RDMA-ready networking
• Flexible scaling from API-based inference to full GPU clusters
• Vertically integrated AI infrastructure stack
• Kubernetes-based orchestration platform
• Global GPU regions across US, Europe, and Asia-Pacific
• SLA-backed performance
• Compliance certifications (SOC 2, ISO 27001)
• Enterprise support
• 24/7 operations and global support
• Integration with leading model providers and MLOps
• Commitment-based savings for GPU costs
• Usage-adaptive pricing
• Globally competitive, region-aware pricing

Use cases

• Deploying and scaling AI models
• Running AI models instantly with serverless inference
• Scaling seamlessly into dedicated GPU infrastructure
• Production AI workloads
• Inference and training jobs needing high memory bandwidth and larger model footprints
• Training and inference at scale
• Large-scale deployments requiring maximum performance headroom
• Real-time and batch workloads
• Foundational model development
• Real-time generative video workloads
• Public-sector and enterprise AI adoption
• Training, fine-tuning, and production inference at scale
• Generative AI and media
• Real-time AI inference
• Scalable AI training and inference for media and entertainment
• AI research and prototyping
• Large-scale AI training on distributed GPU infrastructure
• High-performance, globally distributed AI training
• Foundational model training for video-aware audio generation
• Enterprise AI infrastructure for legal AI workloads
• Secure AI video on sovereign GPU infrastructure
• Multi-model synthetic data generation
• Scalable AI infrastructure for premium data generation
• Prototyping AI models
• Scaling to millions of daily inference requests

AI approach

GMI Cloud provides an AI-native inference cloud and dedicated GPU infrastructure for production AI workloads. They offer serverless scaling, dedicated GPU clusters, and a full-stack platform including inference APIs, orchestration, compute, and hardware. They focus on optimizing performance, cost, and reliability for AI training and inference.

Tech named: NVIDIA H100, NVIDIA H200, NVIDIA Blackwell, NVIDIA GB200, NVIDIA GB300, Kubernetes, RDMA-ready networking

Industries served

• IT System Data Services
• Media & Entertainment
• Public Sector
• Education
• Legal
• Research

What it says sets it apart

• AI-native inference cloud built for production AI
• Combines serverless scaling and dedicated GPU infrastructure
• Predictable performance and cost
• Automatic scaling to zero with no idle cost
• Built on NVIDIA Reference Platform Cloud Architecture and validated designs
• Transparent GPU pricing across NVIDIA H100, H200, and Blackwell platforms
• Real performance gains across production AI workloads (3.7x higher throughput, 5.1x faster inference, 30% lower cost, 2.3x faster scaling)
• Inference-first by design with serverless by default
• Flexible by design, scaling from API-based inference to full GPU clusters without re-architecting
• Full-stack platform from inference APIs to hardware
• Dedicated NVIDIA GPU resources with no shared environments or performance variability
• Commitment-based savings and usage-adaptive pricing
• Globally competitive, region-aware pricing with unified billing
• High-performance infrastructure for demanding AI workloads
• Single-tenant NVIDIA GPU infrastructure with workload isolation
• Infrastructure agility from single-node to distributed GPU clusters
• Deep AI expertise and engineering support
• Global GPU regions across NA, Europe, and Asia-Pacific with < 200 ms avg cross-region latency
• NVIDIA Reference Architecture Provider
• Sovereign inference, global dominance, and reliability at scale
• Scales green-first infrastructure balancing computational power with environmental responsibility

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.