GMI Cloud AI

GMI Cloud AI is an NVIDIA-powered, AI-native inference cloud built for production-grade applications that demand high performance and ultra-low latency. One unified API gives you instant access to large language, vision, video and multimodal models, while elastic serverless scaling keeps costs predictable. Deploy in minutes, pay only for GPU time you use, and scale from zero to millions of requests without touching infrastructure.

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AI inference cloudNVIDIA GPU cloudserverless AI inferenceLLM deployment platformproduction AI infrastructuremultimodal model APIlow-cost GPU computeelastic AI scaling

Features of GMI Cloud AI

Dedicated NVIDIA H100/H200 GPUs with no resource sharing for consistent performance.

True serverless autoscaler—scales to zero when idle, bursts to thousands of GPUs in seconds.

Single endpoint for OpenAI, Anthropic, Meta, Google Gemini and other frontier models.

Deploy as managed endpoints, bring-your-own-model containers, or on-demand serverless functions.

Built-in batching, latency-aware scheduling and cross-cluster GPU orchestration.

Enterprise-grade multi-tenancy, RBAC, VPC peering and bare-metal or Kubernetes options.

Version control, A/B routing and parallel GPU execution for live CI/CD AI pipelines.

Use Cases of GMI Cloud AI

Ship real-time LLM features in production without managing GPU fleets.

Prototype multimodal apps and move to scale on the same stack.

Give growth-stage startups elastic GPU power that matches revenue curves.

Aggregate multiple third-party models behind one internal API.

Cut inference spend with per-millisecond billing and zero-idle costs.

Run high-resolution video or image models for media, ads and post-production.

Plug external models into Dify, LangChain or custom workflows in one click.

Access the latest NVIDIA GPUs for large-batch training or massive parallel inference.

FAQ about GMI Cloud AI

QWhat is GMI Cloud AI?

An NVIDIA-powered inference cloud that delivers production-grade, low-latency AI models through a single API—no servers to manage.

QWhich GPUs are available?

Dedicated NVIDIA H100, H200, B200 and upcoming GB200/GB300 nodes; no shared resources.

QHow is pricing structured?

Straightforward per-GPU-hour billing—H100 from $2.00/hour. Pay on demand or reserve capacity; no hidden fees.

QWhat deployment modes are supported?

Model-as-a-Service endpoints, private dedicated endpoints, and fully serverless functions—choose what fits your workflow.

QWhich models are pre-integrated?

OpenAI GPT, Anthropic Claude, Meta Llama, Google Gemini, ByteDance, DeepSeek and more—accessible instantly.

QWho should use GMI Cloud AI?

Start-ups to enterprises building generative-AI apps, content platforms, automated marketing or any workload that needs scalable GPU inference.

QHow do I get started?

Sign up, create an API key in the console, paste the endpoint into your app or third-party platform, and start calling models.

QWhat performance benefits does the platform offer?

Purpose-built for production AI: micro-second cold-start, high throughput, automatic global load balancing and GPU-level autoscaling.

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